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"Refactoring", "Code-Review" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/autonomous-ai-agents/opencode", "icon": null, "iconify": null, "checksum": "sha256:4023b133395d95f3efb0d4d1acd90858cfa85b0ffd590912b82de1c04d85afbf", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "chainlink-agent-skills", "type": "skill", "category": "blockchain", "name": "chainlink-agent-skills", "version": "1.0.0", "description": "Use when working with Chainlink oracle networks, CCIP cross-chain messaging, or smart contract data feeds. Official Chainlink agent skills on the agentskills.io spec.", "tags": [ "chainlink", "oracle", "ccip", "smart-contracts", "web3", "defi", "blockchain", "cross-chain", "data-feeds" ], "author": "Chainlink (smartcontractkit)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/blockchain/chainlink-agent-skills", "icon": null, "iconify": null, "checksum": "sha256:a807eb178233761056f77c4b0329ec6b820e7f21f27f15a60c9d7967f6964814", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "architecture-diagram", "type": "skill", "category": "creative", "name": "architecture-diagram", "version": "1.0.0", "description": "Dark-themed SVG architecture/cloud/infra diagrams as HTML.", "tags": [ "architecture", "diagrams", "SVG", "HTML", "visualization", "infrastructure", "cloud" ], "author": "Cocoon AI (hello@cocoon-ai.com), ported by LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/architecture-diagram", "icon": null, "iconify": null, "checksum": "sha256:363c8e590160a9be25cee02b7c4884007456697efbe3898e9b239aecef249dbb", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "ascii-art", "type": "skill", "category": "creative", "name": "ascii-art", "version": "4.0.0", "description": "ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.", "tags": [ "ASCII", "Art", "Banners", "Creative", "Unicode", "Text-Art", "pyfiglet", "figlet", "cowsay", "boxes" ], "author": "0xbyt4, LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/ascii-art", "icon": null, "iconify": null, "checksum": "sha256:f21d48d153d0ecf6a0a8b370f279ac4011a3d86c6a2131c02b534758ea84fea0", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "baoyu-article-illustrator", "type": "skill", "category": "creative", "name": "baoyu-article-illustrator", "version": "1.57.0", "description": "Article illustrations: type × style × palette consistency.", "tags": [ "article-illustration", "creative", "image-generation" ], "author": "宝玉 (JimLiu)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/baoyu-article-illustrator", "icon": null, "iconify": null, "checksum": "sha256:3ee0efa78d76721dba2d8f2fdaac78fc427753a6837459f73a2d61b2071a80b4", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "baoyu-comic", "type": "skill", "category": "creative", "name": "baoyu-comic", "version": "1.56.1", "description": "Knowledge comics (知识漫画): educational, biography, tutorial.", "tags": [ "comic", "knowledge-comic", "creative", "image-generation" ], "author": "宝玉 (JimLiu)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/baoyu-comic", "icon": null, "iconify": null, "checksum": "sha256:b6f29f38ab01c21ab9b314be223262343b00cad0008b1489bab6445d9aa20e5f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "baoyu-infographic", "type": "skill", "category": "creative", "name": "baoyu-infographic", "version": "1.56.1", "description": "Infographics: 21 layouts x 21 styles (信息图, 可视化).", "tags": [ "infographic", "visual-summary", "creative", "image-generation" ], "author": "宝玉 (JimLiu)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/baoyu-infographic", "icon": null, "iconify": null, "checksum": "sha256:28397fafba67c9559f4174706732eabec170167a318a950d6bec1eb745e3cf85", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "claude-design", "type": "skill", "category": "creative", "name": "claude-design", "version": "1.0.0", "description": "Design one-off HTML artifacts (landing, deck, prototype).", "tags": [ "design", "html", "prototype", "ux", "ui", "creative", "artifact", "deck", "motion", "design-system" ], "author": "BadTechBandit", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/claude-design", "icon": null, "iconify": null, "checksum": "sha256:bd16b09a24b26009b27a4b4cf4d7944e0c02484091d3f3e4bd65265a0f10b5e3", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "comfyui", "type": "skill", "category": "creative", "name": "comfyui", "version": "5.1.0", "description": "Generate images, video, and audio with ComfyUI — install, launch, manage nodes/models, run workflows with parameter injection. Uses the official comfy-cli for lifecycle and direct REST/WebSocket API for execution.", "tags": [ "comfyui", "image-generation", "stable-diffusion", "flux", "sd3", "wan-video", "hunyuan-video", "creative", "generative-ai", "video-generation" ], "author": [ "kshitijk4poor", "alt-glitch", "purzbeats" ], "license": "MIT", "source": null, "platforms": [ "macos", "linux", "windows" ], "path": "skills/creative/comfyui", "icon": null, "iconify": null, "checksum": "sha256:8be30e07332936ca4846aa783ef5b4bd5b3d42f57ab8388b6c63c5d2a44d9039", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "design-md", "type": "skill", "category": "creative", "name": "design-md", "version": "1.0.0", "description": "Author/validate/export Google's DESIGN.md token spec files.", "tags": [ "design", "design-system", "tokens", "ui", "accessibility", "wcag", "tailwind", "dtcg", "google" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/design-md", "icon": null, "iconify": null, "checksum": "sha256:a6f4555a8f8a2b8d97768e61445c9f6d9995d67cdfb7012cce16fd32cf39f069", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "excalidraw", "type": "skill", "category": "creative", "name": "excalidraw", "version": "1.0.0", "description": "Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).", "tags": [ "Excalidraw", "Diagrams", "Flowcharts", "Architecture", "Visualization", "JSON" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/excalidraw", "icon": null, "iconify": null, "checksum": "sha256:b1c083f2ccadf36e83f0043dddb47b1c89a0d9896e0ab47752b76f46ccf1a118", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "humanizer", "type": "skill", "category": "creative", "name": "humanizer", "version": "2.5.1", "description": "Humanize text: strip AI-isms and add real voice.", "tags": [ "writing", "editing", "humanize", "anti-ai-slop", "voice", "prose", "text" ], "author": "Siqi Chen (@blader, https://github.com/blader/humanizer), ported by LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/humanizer", "icon": null, "iconify": null, "checksum": "sha256:b2ccc1adb4f27124c902f04483685da40995caaf62189039ed2db058944731e9", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "ideation", "type": "skill", "category": "creative", "name": "ideation", "version": "1.0.0", "description": "Generate project ideas via creative constraints.", "tags": [ "Creative", "Ideation", "Projects", "Brainstorming", "Inspiration" ], "author": "SHL0MS", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/creative-ideation", "icon": null, "iconify": null, "checksum": "sha256:c4c819129a0f34749863bb1ba64bd6af557e27eeb9129dd71468a7e2220e7155", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "pixel-art", "type": "skill", "category": "creative", "name": "pixel-art", "version": "2.0.0", "description": "Pixel art w/ era palettes (NES, Game Boy, PICO-8).", "tags": [ "creative", "pixel-art", "arcade", "snes", "nes", "gameboy", "retro", "image", "video" ], "author": "dodo-reach", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/pixel-art", "icon": null, "iconify": null, "checksum": "sha256:7e1f60315f2fe6bd3ba46df3ceb687aaf436ee7354d7fe06ba785fb1f09f5096", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "popular-web-designs", "type": "skill", "category": "creative", "name": "popular-web-designs", "version": "1.0.0", "description": "54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.", "tags": [], "author": "LibreAgents + Teknium (design systems sourced from VoltAgent/awesome-design-md)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/popular-web-designs", "icon": null, "iconify": null, "checksum": "sha256:18375783a043dc062132e4d7f5fd7b680b4379ce97a8c8981a8c34ac8c67abcb", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "pretext", "type": "skill", "category": "creative", "name": "pretext", "version": "1.0.0", "description": "Use when building creative browser demos with @chenglou/pretext — DOM-free text layout for ASCII art, typographic flow around obstacles, text-as-geometry games, kinetic typography, and text-powered generative art. Produces single-file HTML demos by default.", "tags": [ "creative-coding", "typography", "pretext", "ascii-art", "canvas", "generative", "text-layout", "kinetic-typography" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/pretext", "icon": null, "iconify": null, "checksum": "sha256:d2970072a9020dbfb5d481ad8234990452763770f8ea2d1bebfcfa9f6869ddc1", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "sketch", "type": "skill", "category": "creative", "name": "sketch", "version": "1.0.0", "description": "Throwaway HTML mockups: 2-3 design variants to compare.", "tags": [ "sketch", "mockup", "design", "ui", "prototype", "html", "variants", "exploration", "wireframe", "comparison" ], "author": "LibreAgents (adapted from gsd-build/get-shit-done)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/sketch", "icon": null, "iconify": null, "checksum": "sha256:6614c820e22653b658a12323c47beacd3a70db2ac340242434be49f9d41a9580", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "touchdesigner-mcp", "type": "skill", "category": "creative", "name": "touchdesigner-mcp", "version": "1.1.0", "description": "Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.", "tags": [ "TouchDesigner", "MCP", "twozero", "creative-coding", "real-time-visuals", "generative-art", "audio-reactive", "VJ", "installation", "GLSL" ], "author": "kshitijk4poor", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/creative/touchdesigner-mcp", "icon": null, "iconify": null, "checksum": "sha256:62cc07bf59989cce7c8634f56bad2190b3b3aafb0df75a3081b96283521b84be", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "alloydb-basics", "type": "skill", "category": "data-science", "name": "alloydb-basics", "version": "1.0.0", "description": "Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations.", "tags": [ "Google Cloud", "Alloydb", "Basics" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/alloydb-basics", "platforms": [ "linux", "macos", "windows" ], "path": "skills/data-science/alloydb-basics", "icon": null, "iconify": "lucide:database", "checksum": "sha256:7a48f097d0b8395d248d7a86af843cef58ea4ae5e4403048fdb86f3effd7d9d1", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "bigquery-ai-ml", "type": "skill", "category": "data-science", "name": "bigquery-ai-ml", "version": "1.0.0", "description": "Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI capabilities in BigQuery.", "tags": [ "Google Cloud", "Bigquery", "Ai", "Ml" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/bigquery-ai-ml", "platforms": [ "linux", "macos", "windows" ], "path": "skills/data-science/bigquery-ai-ml", "icon": null, "iconify": "lucide:database", "checksum": "sha256:cc4d4b5aa50ccbacb0b55826c3fda90c71087b348e19e0ac9709bccdb743584e", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "bigquery-basics", "type": "skill", "category": "data-science", "name": "bigquery-basics", "version": "1.0.0", "description": "Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis.", "tags": [ "Google Cloud", "Bigquery", "Basics" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/bigquery-basics", "platforms": [ "linux", "macos", "windows" ], "path": "skills/data-science/bigquery-basics", "icon": null, "iconify": "lucide:database", "checksum": "sha256:5b421bd38d2ecff9742cecd65c2fd6d1389f6dd11ce2967c5e5e726016426f31", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "bigtable-basics", "type": "skill", "category": "data-science", "name": "bigtable-basics", "version": "1.0.0", "description": "Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for Bigtable, or diagnosing performance/hotspotting issues. Also use when provisioning Bigtable clusters using gcloud or cbt CLIs. Don't use for generic Cloud SQL administration.", "tags": [ "Google Cloud", "Bigtable", "Basics" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/bigtable-basics", "platforms": [ "linux", "macos", "windows" ], "path": "skills/data-science/bigtable-basics", "icon": null, "iconify": "lucide:database", "checksum": "sha256:cb3756681c7541c22ea350265a654225de2eb0ce56a023b39144202124b79e6d", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "cloud-sql-basics", "type": "skill", "category": "data-science", "name": "cloud-sql-basics", "version": "1.0.0", "description": "This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server.\nCloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages.\nCloud SQL handles backups, high availability, and secure connectivity for relational database workloads.", "tags": [ "Google Cloud", "Cloud", "Sql", "Basics" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/cloud-sql-basics", "platforms": [ "linux", "macos", "windows" ], "path": "skills/data-science/cloud-sql-basics", "icon": null, "iconify": "lucide:database", "checksum": "sha256:b8cdd4030741630bc03345cee62423b2c0180d70995bf150f39bea7fda615941", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-analytics-admin-api-basics", "type": "skill", "category": "data-science", "name": "google-analytics-admin-api-basics", "version": "1.0.0", "description": "Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need to programmatically configure Google Analytics accounts, provision properties, manage data retention, configure Measurement Protocol secrets, or manage Firebase and Google Ads links.", "tags": [ "Google Analytics", "Analytics", "Admin", "Api" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/analytics/google-analytics-admin-api-basics", "platforms": [ "linux", "macos", "windows" ], "path": "skills/data-science/google-analytics-admin-api-basics", "icon": null, "iconify": "lucide:line-chart", "checksum": "sha256:32faa94d292859a2e0ee83bb3a8bed9a22e5e344b0f0bb138b2149f36f7538d7", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-analytics-data-api-basics", "type": "skill", "category": "data-science", "name": "google-analytics-data-api-basics", "version": "1.0.0", "description": "Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized analytics reports, query metrics (like activeUsers, screenPageViews) and dimensions (like city, date), check metrics and dimensions compatibility, or verify API enablement.", "tags": [ "Google Analytics", "Analytics", "Data", "Api" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/analytics/google-analytics-data-api-basics", "platforms": [ "linux", "macos", "windows" ], "path": "skills/data-science/google-analytics-data-api-basics", "icon": null, "iconify": "lucide:line-chart", "checksum": "sha256:cc0a431d03b18a0c901a469f29b08260a86547d4849f8b4d73af3ed141aa167e", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "jupyter-live-kernel", "type": "skill", "category": "data-science", "name": "jupyter-live-kernel", "version": "1.0.0", "description": "Iterative Python via live Jupyter kernel (hamelnb).", "tags": [ "jupyter", "notebook", "repl", "data-science", "exploration", "iterative" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/data-science/jupyter-live-kernel", "icon": null, "iconify": null, "checksum": "sha256:8e748810130d3f1a0c5c21516f5f288206893b010c7f82bfb0b725612d62fb9d", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "jupyter-notebook", "type": "skill", "category": "data-science", "name": "jupyter-notebook", "version": "1.0.0", "description": "Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.", "tags": [ "Jupyter", "Notebook", "Data Science" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/jupyter-notebook", "platforms": [ "linux", "macos", "windows" ], "path": "skills/data-science/jupyter-notebook", "icon": null, "iconify": "lucide:notebook-text", "checksum": "sha256:77d2adc38c25ceed1424be6c3ea78a9d73fe9d61ada70982208e9836b5de4d15", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "frontend-ui-engineering", "type": "skill", "category": "design", "name": "frontend-ui-engineering", "version": "1.0.0", "description": "Builds production-quality UIs. Use when building or modifying user-facing interfaces. Use when creating components, implementing layouts, managing state, or when the output needs to look and feel production-quality rather than AI-generated.", "tags": [ "Frontend", "UI", "Engineering" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/frontend-ui-engineering", "platforms": [ "linux", "macos", "windows" ], "path": "skills/design/frontend-ui-engineering", "icon": null, "iconify": "lucide:monitor-smartphone", "checksum": "sha256:580cb32a6b0125586bddc48e4452ea6db7da308ed4994cee44e4a68496e43705", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "open-design", "type": "skill", "category": "design", "name": "open-design", "version": "1.0.0", "description": "Use when you need to generate UI designs, web/mobile mockups, presentations, dashboards, or documents from natural language. 31 composable skills across 129 design systems with image, video, and audio generation.", "tags": [ "design", "ui", "mockup", "web", "mobile", "dashboard", "presentation", "image-gen", "video-gen", "design-systems", "local-first" ], "author": "nexu-io", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/design/open-design", "icon": null, "iconify": null, "checksum": "sha256:9d90a85a72384cffada6b09561d5e9ff8e3853ce84323e90a7999bf0abb3754d", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "ci-cd-and-automation", "type": "skill", "category": "devops", "name": "ci-cd-and-automation", "version": "1.0.0", "description": "Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.", "tags": [ "CI/CD", "Automation", "Pipelines" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/ci-cd-and-automation", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/ci-cd-and-automation", "icon": null, "iconify": "lucide:infinity", "checksum": "sha256:9f6081fed66d8a32c1ad81496f869917810749bedb4ab146dda82cfd3a6fc652", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "cloud-run-basics", "type": "skill", "category": "devops", "name": "cloud-run-basics", "version": "1.0.0", "description": "Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).", "tags": [ "Google Cloud", "Cloud", "Run", "Basics" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/cloud-run-basics", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/cloud-run-basics", "icon": null, "iconify": "lucide:cloud-upload", "checksum": "sha256:9630885d7b07757174d13bd35ffb8bb2c9eae59bb86af02f07a5b73541315d2a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "cloudflare-deploy", "type": "skill", "category": "devops", "name": "cloudflare-deploy", "version": "1.0.0", "description": "Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.", "tags": [ "Cloudflare", "Workers", "Deploy" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/cloudflare-deploy", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/cloudflare-deploy", "icon": null, "iconify": "lucide:cloud", "checksum": "sha256:9a9884a8ea5f85781b7a5b387b98c9951cff13bfb0aecebb9cae642058170944", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "firebase-basics", "type": "skill", "category": "devops", "name": "firebase-basics", "version": "1.0.0", "description": "Use this skill whenever you are working on a project that uses Firebase products or services, especially for mobile or web apps.", "tags": [ "Google Cloud", "Firebase", "Basics" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/firebase-basics", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/firebase-basics", "icon": null, "iconify": "lucide:flame", "checksum": "sha256:e9ef8682ebb70320ee705cea5f6eea4b49fab9f39268e243fadd44714d70c6e1", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gcloud", "type": "skill", "category": "devops", "name": "gcloud", "version": "1.0.0", "description": "Interacts with Google Cloud services using the gcloud CLI safely and efficiently. Covers command validation, data reduction, safety guardrails with a denylist, and workflows for discovery and investigation. You MUST read this skill before invoking any gcloud command. Use when managing cloud resources, querying configurations, or troubleshooting issues via gcloud. Don't use when writing or debugging Google Cloud client library code or raw REST/gRPC API interactions.", "tags": [ "Google Cloud", "Gcloud" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gcloud", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gcloud", "icon": null, "iconify": "lucide:terminal", "checksum": "sha256:3d79972f8974b6201e2843042aff589fb775422f8db00ff80583ff9da90956bb", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "git-guardrails-claude-code", "type": "skill", "category": "devops", "name": "git-guardrails-claude-code", "version": "1.0.0", "description": "Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.", "tags": [ "Git", "Guardrails", "Safety" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/misc/git-guardrails-claude-code", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/git-guardrails-claude-code", "icon": null, "iconify": "lucide:shield-check", "checksum": "sha256:7e2eb3b26bee7604bf7134455a2dde0e72578e5715d78db124b5eedeec848017", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-app-onboarding", "type": "skill", "category": "devops", "name": "gke-app-onboarding", "version": "1.0.0", "description": "Manages GKE application onboarding, covering containerization, deployment manifests, and migration. Use when onboarding or deploying an application to GKE for the first time, or containerizing an app for GKE. Don't use for general GKE cluster administration or upgrades (use gke-basics or gke-upgrades instead).", "tags": [ "Google Cloud", "Gke", "App", "Onboarding" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-app-onboarding", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-app-onboarding", "icon": null, "iconify": "lucide:container", "checksum": "sha256:3d271cb7c5d7e46447235bcd518b8dbff953ceceb8a0dfe48f0943eaf553c6bd", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-backup-dr", "type": "skill", "category": "devops", "name": "gke-backup-dr", "version": "1.0.0", "description": "Configures GKE Backup Plans and restore workflows. Use for backup policies, disaster recovery, or GKE cluster restores. Don't use for database backups.", "tags": [ "Google Cloud", "Gke", "Backup", "Dr" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-backup-dr", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-backup-dr", "icon": null, "iconify": "lucide:container", "checksum": "sha256:c4f48afd745fc4a9e8f4cb6536aae20a9fcf369070f94621d1508b9884e0f65f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-basics", "type": "skill", "category": "devops", "name": "gke-basics", "version": "1.0.0", "description": "Core GKE cluster discovery and hub. Use to route to specialized GKE skills. Do not use for specialized tasks (networking, security, etc.) directly.", "tags": [ "Google Cloud", "Gke", "Basics" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-basics", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-basics", "icon": null, "iconify": "lucide:container", "checksum": "sha256:ec0e5ce7658226aae0f141c1e34c42c69bb8074f093cd4aee72da60b08d9607e", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-batch-hpc", "type": "skill", "category": "devops", "name": "gke-batch-hpc", "version": "1.0.0", "description": "Runs batch and HPC workloads on GKE, utilizing job queues and parallel processing. Use when running GKE batch jobs, configuring GKE HPC, or setting up GKE job queues. Don't use for standard web application deployments (use gke-app-onboarding instead).", "tags": [ "Google Cloud", "Gke", "Batch", "Hpc" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-batch-hpc", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-batch-hpc", "icon": null, "iconify": "lucide:container", "checksum": "sha256:8b8ac6ce45bbf2d5428c8de71b532c1d6fdd250c0daf98b8acbf2caf1d8d75c8", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-cluster-creation", "type": "skill", "category": "devops", "name": "gke-cluster-creation", "version": "1.0.0", "description": "Plans and executes GKE cluster creation, provisioning, and production readiness audits. Use when creating GKE clusters, provisioning GKE environments, or auditing GKE clusters. Don't use for application onboarding or deployment configuration (use gke-app-onboarding instead).", "tags": [ "Google Cloud", "Gke", "Cluster", "Creation" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-cluster-creation", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-cluster-creation", "icon": null, "iconify": "lucide:container", "checksum": "sha256:9d4332bcd0a4486d506db5c3beebc20b52d4127a856cb7861f85094c5517802a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-compute-classes", "type": "skill", "category": "devops", "name": "gke-compute-classes", "version": "1.0.0", "description": "Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto Provisioning configuration or general GKE cluster creation.", "tags": [ "Google Cloud", "Gke", "Compute", "Classes" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-compute-classes", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-compute-classes", "icon": null, "iconify": "lucide:container", "checksum": "sha256:7b9a9c844652b11ed1c4c5debba576a277921f610008fbd4c2a90956a396c3ec", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-cost", "type": "skill", "category": "devops", "name": "gke-cost", "version": "1.0.0", "description": "Optimizes GKE costs, rightsizes workloads, and configures Spot VMs and CUDs. Use when optimizing GKE costs, rightsizing GKE workloads, or configuring GKE Spot VMs. Don't use for general compute class provisioning or GPU Selection (use gke-compute-classes instead).", "tags": [ "Google Cloud", "Gke", "Cost" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-cost", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-cost", "icon": null, "iconify": "lucide:container", "checksum": "sha256:e5b9b7e7837f6357eb94e5769568b879308738b312dd1c52df97983eca64ed3c", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-golden-path", "type": "skill", "category": "devops", "name": "gke-golden-path", "version": "1.0.0", "description": "Provides GKE golden path configuration defaults, production readiness checklists, and cluster default patterns. Use when designing GKE clusters, verifying GKE production readiness, or checking configurations against GKE defaults. Don't use for setting up node autoscaling specifically (use gke-scaling instead).", "tags": [ "Google Cloud", "Gke", "Golden", "Path" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-golden-path", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-golden-path", "icon": null, "iconify": "lucide:container", "checksum": "sha256:c09b3c446f2d9dfbf79bdbb1b32f13c2ca369995733d700927aca0c8e8922b57", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-multitenancy", "type": "skill", "category": "devops", "name": "gke-multitenancy", "version": "1.0.0", "description": "Plans and configures multi-tenancy on GKE. Covers namespace isolation, RBAC planning for teams, resource quotas, LimitRanges, network isolation, and cost allocation. Use when designing GKE multi-tenancy, configuring GKE namespaces, setting up resource quotas, or isolating GKE teams. Don't use for single-tenant cluster configuration or general deployment instructions (use gke-basics or gke-app-onboarding instead).", "tags": [ "Google Cloud", "Gke", "Multitenancy" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-multitenancy", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-multitenancy", "icon": null, "iconify": "lucide:container", "checksum": "sha256:a66a1a314bde410d0687442db7b78cce257852a161499a65f0f9d06201a59cf8", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-networking", "type": "skill", "category": "devops", "name": "gke-networking", "version": "1.0.0", "description": "Plans, configures, and manages GKE networking. Covers private clusters, VPC- native configurations, Gateway API, DNS, ingress/egress, Dataplane V2, and IP planning. Use when designing GKE networking layouts, configuring private clusters, setting up Gateway API, planning GKE IP ranges, or configuring GKE ingress/egress. Don't use for basic application routing that does not require dedicated network configuration.", "tags": [ "Google Cloud", "Gke", "Networking" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-networking", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-networking", "icon": null, "iconify": "lucide:container", "checksum": "sha256:b8e20889c014ba6517949e8b8fdd6420086a5a343d65337f98acb8e7c010c5be", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-observability", "type": "skill", "category": "devops", "name": "gke-observability", "version": "1.0.0", "description": "Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection. Don't use to configure local application logging frameworks or external APMs outside GKE.", "tags": [ "Google Cloud", "Gke", "Observability" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-observability", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-observability", "icon": null, "iconify": "lucide:container", "checksum": "sha256:75bd59d24fe59e857713f8184bbcc69e0e272d3cf19cc950bb51e92d327ac7c1", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-reliability", "type": "skill", "category": "devops", "name": "gke-reliability", "version": "1.0.0", "description": "Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).", "tags": [ "Google Cloud", "Gke", "Reliability" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-reliability", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-reliability", "icon": null, "iconify": "lucide:container", "checksum": "sha256:e967cfce16ef96625361f21a43b2f05a73934e87cea7bb5bbaabb1d6eb9e86a9", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-scaling", "type": "skill", "category": "devops", "name": "gke-scaling", "version": "1.0.0", "description": "Configures GKE autoscaling, including HPA, VPA, and Node Auto-Provisioning (NAP). Use when configuring GKE autoscaling, setting up GKE HPA, setting up GKE VPA, or configuring GKE NAP. Don't use for configuring static cluster sizes or setting node-level machine styles directly (use gke-compute-classes instead).", "tags": [ "Google Cloud", "Gke", "Scaling" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-scaling", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-scaling", "icon": null, "iconify": "lucide:container", "checksum": "sha256:2f3b0e5a4b3294fe51d4725c2c488372c9692413983fbb8a7c21bc0f87d5f329", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-upgrades", "type": "skill", "category": "devops", "name": "gke-upgrades", "version": "1.0.0", "description": "Plans, executes, and validates Google Kubernetes Engine (GKE) cluster upgrades and maintenance operations for both Standard and Autopilot clusters. Produces upgrade plans, pre/post-upgrade checklists, maintenance runbooks with gcloud commands, release channel strategy, and troubleshooting guides. Handles node pool upgrade strategies (surge, blue-green), version compatibility, PDB management, and workload-specific concerns (stateful, GPU, operators). Use this skill whenever the user mentions GKE upgrades, Kubernetes version bumps, node pool maintenance, GKE patching, cluster version management, release channel selection, maintenance windows, surge upgrades, stuck upgrades, or any GKE lifecycle management task — even casual mentions like \"we need to upgrade our clusters\" or \"plan our next GKE maintenance\" or \"our upgrade is stuck.\" Don't use for GKE cluster creation, application onboarding, general networking/routing setup, or security policy configurations (use gke-basics or relevant GKE skills instead).", "tags": [ "Google Cloud", "Gke", "Upgrades" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-upgrades", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/gke-upgrades", "icon": null, "iconify": "lucide:container", "checksum": "sha256:52b77f3d98ef5cfa8388fa67ab6215dba27b96b2f422b6a8c8b945a9d38a1f6d", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-agents-cli-onboarding", "type": "skill", "category": "devops", "name": "google-agents-cli-onboarding", "version": "1.0.0", "description": "Onboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to \"create a new agent\", \"develop an agent\", \"build an agent using ADK\", \"run the agent locally\", \"debug agent code\", \"test an agent\", \"evaluate an agent\", \"deploy an agent\", \"publish an agent\", \"monitor an agent\", or needs the ADK (Agent Development Kit) development lifecycle.", "tags": [ "Google Cloud", "Agents", "Cli", "Onboarding" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/google-agents-cli-onboarding", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/google-agents-cli-onboarding", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:47b549bff740e0230e45e65af716af5a4693797c3015fffec8ddb294be7ffff0", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-cloud-networking-observability", "type": "skill", "category": "devops", "name": "google-cloud-networking-observability", "version": "1.0.0", "description": "Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs (including cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics. Don't use for generic VM management or non-observability tasks.", "tags": [ "Google Cloud", "Cloud", "Networking", "Observability" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/google-cloud-networking-observability", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/google-cloud-networking-observability", "icon": null, "iconify": "lucide:network", "checksum": "sha256:8fa5cc666efa6cb70c8f6eb1e3311493c8ea3a32afe021ab44732d75737661e2", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-cloud-recipe-auth", "type": "skill", "category": "devops", "name": "google-cloud-recipe-auth", "version": "1.0.0", "description": "Provides expert guidance on authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.", "tags": [ "Google Cloud", "Cloud", "Recipe", "Auth" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/google-cloud-recipe-auth", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/google-cloud-recipe-auth", "icon": null, "iconify": "lucide:terminal", "checksum": "sha256:821118074646955f15d3857a9e1173ced742878cb5292d903ef0157a05e90a97", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-cloud-recipe-onboarding", "type": "skill", "category": "devops", "name": "google-cloud-recipe-onboarding", "version": "1.0.0", "description": "Guides a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource. Use when a new developer wants to initialize their first Google Cloud project, configure billing, and verify deployment. Don't use for enterprise organization setup (use Google Cloud Setup guided flow for that instead). Don't use for complex multi-project architectures.", "tags": [ "Google Cloud", "Cloud", "Recipe", "Onboarding" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/google-cloud-recipe-onboarding", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/google-cloud-recipe-onboarding", "icon": null, "iconify": "lucide:cloud", "checksum": "sha256:c562e72e07e92540e41b7c2badd9a5c178eb1b0c26d305c55fa232a3a0e3344e", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "iam-recommendations-fetcher", "type": "skill", "category": "devops", "name": "iam-recommendations-fetcher", "version": "1.0.0", "description": "Fetches raw IAM recommendations and associated security insights from Google Cloud for a specified target scope (Organization, Folder, or Project). Use when you need to retrieve security recommendations before analyzing or applying them. Don't use for applying/acting on recommendations (use the recommendation applier skill) or for general allow policy querying (use the allow policy viewer skill).", "tags": [ "Google Cloud", "Iam", "Recommendations", "Fetcher" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/iam-recommendations-fetcher", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/iam-recommendations-fetcher", "icon": null, "iconify": "lucide:cloud", "checksum": "sha256:8bc5cedacfcefd4e4dd707e26e4065f3a21dcf71eb72cdd6ac18bf335f6c9aa4", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "netlify-deploy", "type": "skill", "category": "devops", "name": "netlify-deploy", "version": "1.0.0", "description": "Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys.", "tags": [ "Netlify", "Deploy", "Hosting" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/netlify-deploy", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/netlify-deploy", "icon": null, "iconify": "lucide:cloud-upload", "checksum": "sha256:c4a5dc6362a6052a9f8115e611b88d6d1a9ce4498fcf45ffcf01073ced479f05", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "observability-and-instrumentation", "type": "skill", "category": "devops", "name": "observability-and-instrumentation", "version": "1.0.0", "description": "Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.", "tags": [ "Observability", "Instrumentation", "Monitoring" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/observability-and-instrumentation", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/observability-and-instrumentation", "icon": null, "iconify": "lucide:activity", "checksum": "sha256:ea379f5ca5a5818db022b24cbed936421732556105328273081b4899b5031ccc", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "render-deploy", "type": "skill", "category": "devops", "name": "render-deploy", "version": "1.0.0", "description": "Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.", "tags": [ "Render", "Deploy", "Hosting" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/render-deploy", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/render-deploy", "icon": null, "iconify": "lucide:server", "checksum": "sha256:bf00cf6cdf30a705b9fd954a2d16d09781ba29d8baa9569bdf7a45af55536d05", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "sentry", "type": "skill", "category": "devops", "name": "sentry", "version": "1.0.0", "description": "Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry CLI; perform read-only queries using the `sentry` command.", "tags": [ "Sentry", "Errors", "Monitoring" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/sentry", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/sentry", "icon": null, "iconify": "lucide:siren", "checksum": "sha256:6c47dffce5a3e599be160d601ba16f6a86e087c73aba32f3359d7334c5f618f4", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "setup-pre-commit", "type": "skill", "category": "devops", "name": "setup-pre-commit", "version": "1.0.0", "description": "Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.", "tags": [ "Pre-commit", "Git Hooks", "CI" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/misc/setup-pre-commit", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/setup-pre-commit", "icon": null, "iconify": "lucide:git-commit-horizontal", "checksum": "sha256:84792fab053b2abdf7ee4b3b995a4106aa7246dbf2989d8cc4507937a073ab76", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "vercel-deploy", "type": "skill", "category": "devops", "name": "vercel-deploy", "version": "1.0.0", "description": "Deploy applications and websites to Vercel. Use when the user requests deployment actions like \"deploy my app\", \"deploy and give me the link\", \"push this live\", or \"create a preview deployment\".", "tags": [ "Vercel", "Deploy", "Hosting" ], "author": "openai", "license": "MIT", "source": "https://github.com/openai/skills/tree/main/skills/.curated/vercel-deploy", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/vercel-deploy", "icon": null, "iconify": "lucide:triangle", "checksum": "sha256:24cca01aeb10bb79e7dc406184338532994fd53bd5e09a69bbbebea11f236f2f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "workload-manager-basics", "type": "skill", "category": "devops", "name": "workload-manager-basics", "version": "1.0.0", "description": "Use this skill to manage Google Cloud Workload Manager evaluations, rules, scanned resources, and validation results by using public client libraries and the REST API. Use when you need to inspect workload best-practice rules, create and run evaluations for Google Cloud general best practices, SAP, SQL Server, or custom organizational rules, review violations, export results to BigQuery, or automate Workload Manager through client libraries because no service-specific public CLI or MCP server is available. Don't use for general Google Compute Engine instance management, VPC configuration, or standard IAM auditing.", "tags": [ "Google Cloud", "Workload", "Manager", "Basics" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/workload-manager-basics", "platforms": [ "linux", "macos", "windows" ], "path": "skills/devops/workload-manager-basics", "icon": null, "iconify": "lucide:cloud", "checksum": "sha256:7598950c877506a11c13372afb48f7cb10ad27932440a930c70a5c01834935a2", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "drawio", "type": "skill", "category": "diagramming", "name": "drawio", "version": "1.0.0", "description": "Use when you need to generate architecture diagrams, flowcharts, ER diagrams, or any visual diagram from natural language. Exports to PNG, SVG, and PDF via draw.io.", "tags": [ "diagrams", "drawio", "architecture", "flowchart", "erd", "visualization", "export", "png", "svg", "pdf" ], "author": "Agents365-ai", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/diagramming/drawio", "icon": null, "iconify": null, "checksum": "sha256:685591f9869dbdf213bd6a32465bbff30b08a70bff3defc70cf38d42756601b5", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "data-manager-api-audience-ingestion", "type": "skill", "category": "domain", "name": "data-manager-api-audience-ingestion", "version": "1.0.0", "description": "Guides developers through uploading audience members to Google products using the Data Manager API /v1/audienceMembers/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload audience members for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).", "tags": [ "Google Ads", "Data", "Manager", "Api" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/ads/data-manager-api/data-manager-api-audience-ingestion", "platforms": [ "linux", "macos", "windows" ], "path": "skills/domain/data-manager-api-audience-ingestion", "icon": null, "iconify": "lucide:megaphone", "checksum": "sha256:3c4d6628abcbd698f8b96b79d2a73c1d870be9b9af493e57bcc522733d5803a5", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "data-manager-api-event-ingestion", "type": "skill", "category": "domain", "name": "data-manager-api-event-ingestion", "version": "1.0.0", "description": "Guides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload offline conversions, enhanced conversions for leads, click conversions, Google Analytics web or app events, or any other event ingestion use case supported by the Data Manager API. Don't use for uploading audience members (use the data-manager-api-audience-ingestion skill).", "tags": [ "Google Ads", "Data", "Manager", "Api" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/ads/data-manager-api/data-manager-api-event-ingestion", "platforms": [ "linux", "macos", "windows" ], "path": "skills/domain/data-manager-api-event-ingestion", "icon": null, "iconify": "lucide:megaphone", "checksum": "sha256:a51763db0068ac0c2352d60aad9345c0feed6d3e743c21ea65de796ebe68418a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-ads-api-mcp-setup", "type": "skill", "category": "domain", "name": "google-ads-api-mcp-setup", "version": "1.0.0", "description": "Guides developers through downloading, configuring, and installing the official open-source Google Ads MCP Server. Use this skill when a user wants to connect their AI assistant (such as Gemini, Claude Code, or Cursor) to their Google Ads account to query campaigns or retrieve reporting metrics using natural language.", "tags": [ "Google Ads", "Ads", "Api", "Mcp" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/ads/google-ads-api/google-ads-api-mcp-setup", "platforms": [ "linux", "macos", "windows" ], "path": "skills/domain/google-ads-api-mcp-setup", "icon": null, "iconify": "lucide:megaphone", "checksum": "sha256:f14dd21ae4e4c482590f42dab335d103064b6a52cf42fa39d63aaf49526113a4", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-ads-api-quickstart", "type": "skill", "category": "domain", "name": "google-ads-api-quickstart", "version": "1.0.0", "description": "Guides developers through Google Ads API quickstart: credential setup, choosing from 6 client libraries/REST, configuring environments, and running a \"retrieve campaigns\" script. Troubleshoots common setup errors: USER_PERMISSION_DENIED, login_customer_id issues, and DEVELOPER_TOKEN_NOT_APPROVED.\n\nUse this skill when:\n- The user asks how to get started with the Google Ads API.\n- The user needs to set up Google Ads credentials or developer tokens.\n- The user wants to write a quickstart/example script for Google Ads.\n- The user encounters errors like USER_PERMISSION_DENIED or DEVELOPER_TOKEN_NOT_APPROVED.\n", "tags": [ "Google Ads", "Ads", "Api", "Quickstart" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/ads/google-ads-api/google-ads-api-quickstart", "platforms": [ "linux", "macos", "windows" ], "path": "skills/domain/google-ads-api-quickstart", "icon": null, "iconify": "lucide:megaphone", "checksum": "sha256:555eee6f8cfdf43d9510e4728ec504b46bf9529139480863f952f5384e4141ae", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-mobile-ads-android-migrate-to-next-gen", "type": "skill", "category": "domain", "name": "google-mobile-ads-android-migrate-to-next-gen", "version": "1.0.0", "description": "Migrates Android applications from the old, legacy Google Mobile Ads (GMA) SDK (com.google.android.gms:play-services-ads) to the new GMA Next-Gen SDK (com.google.android.libraries.ads.mobile.sdk:ads-mobile-sdk). Provides comprehensive mapping tables for imports, classes, and method signatures to help determine migration steps. Use when migrating an existing Android codebase from the old, legacy GMA SDK to GMA Next-Gen SDK.", "tags": [ "Google Ads", "Mobile", "Ads", "Android" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/ads/google-mobile-ads/google-mobile-ads-android-migrate-to-next-gen", "platforms": [ "linux", "macos", "windows" ], "path": "skills/domain/google-mobile-ads-android-migrate-to-next-gen", "icon": null, "iconify": "lucide:megaphone", "checksum": "sha256:3d7754a8f6ca3bc6c75e8b28435c49a8ef184f8515035235ee87f1afbf63483e", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-mobile-ads-banner", "type": "skill", "category": "domain", "name": "google-mobile-ads-banner", "version": "1.0.0", "description": "Provides instructions to implement, integrate, or configure Google Mobile Ads (GMA) banner ads in Android and iOS mobile applications. Use when the task involves setting up banner ads in a mobile application.", "tags": [ "Google Ads", "Mobile", "Ads", "Banner" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/ads/google-mobile-ads/google-mobile-ads-banner", "platforms": [ "linux", "macos", "windows" ], "path": "skills/domain/google-mobile-ads-banner", "icon": null, "iconify": "lucide:megaphone", "checksum": "sha256:165d14643e751e0eb3587b9a9acb648573ddc9b5da0bbb5d644bbee9d4b9bb9f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-mobile-ads-get-started", "type": "skill", "category": "domain", "name": "google-mobile-ads-get-started", "version": "1.0.0", "description": "Provides instructions for integrating the Google Mobile Ads (GMA) SDK. Use this skill when the user wants to get started with, install, integrate, set up, or configure the SDK for AdMob or Ad Manager, GMA Next-Gen SDK or mobile ads framework in an Android, iOS, or Unity application.", "tags": [ "Google Ads", "Mobile", "Ads", "Get" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/ads/google-mobile-ads/google-mobile-ads-get-started", "platforms": [ "linux", "macos", "windows" ], "path": "skills/domain/google-mobile-ads-get-started", "icon": null, "iconify": "lucide:megaphone", "checksum": "sha256:9301b955baa8998eff2daa9b7f5c6ef08e3ec7ccb8d1ac179162bc295327fd25", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-mobile-ads-interstitial", "type": "skill", "category": "domain", "name": "google-mobile-ads-interstitial", "version": "1.0.0", "description": "Provides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK interstitial ads in Android and iOS mobile applications. Use this skill when the task involves setting up interstitial ads. Don't use for \"rewarded interstitial\" ads.", "tags": [ "Google Ads", "Mobile", "Ads", "Interstitial" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/ads/google-mobile-ads/google-mobile-ads-interstitial", "platforms": [ "linux", "macos", "windows" ], "path": "skills/domain/google-mobile-ads-interstitial", "icon": null, "iconify": "lucide:megaphone", "checksum": "sha256:b122dcf032974d87534fdb835c5e8023822f64276d6dbc5fc9883b4ea18e84c3", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-mobile-ads-rewarded", "type": "skill", "category": "domain", "name": "google-mobile-ads-rewarded", "version": "1.0.0", "description": "Provides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK rewarded ads in Android or iOS mobile applications. Use this skill when the task involves setting up rewarded ads. Don't use for \"rewarded interstitial\" ads.", "tags": [ "Google Ads", "Mobile", "Ads", "Rewarded" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/ads/google-mobile-ads/google-mobile-ads-rewarded", "platforms": [ "linux", "macos", "windows" ], "path": "skills/domain/google-mobile-ads-rewarded", "icon": null, "iconify": "lucide:megaphone", "checksum": "sha256:f06e24f4ca99a7951f05a732b4ed7773c9c3e80d6ed127c3f8c5f035dd06dc56", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "ima-sdk-basics", "type": "skill", "category": "domain", "name": "ima-sdk-basics", "version": "1.0.0", "description": "Use this skill for Interactive Media Ads (IMA) SDK client-side ad insertion when you are requesting video ads client-side into websites, apps, TVs or other platforms with VAST or VMAP. Do not use for Dynamic Ad Insertion (DAI), SSAI, or SGAI (use the `ima-sdk-dai-basics` skill instead).", "tags": [ "Google Ads", "Ima", "Sdk", "Basics" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/ads/interactive-media-ads/ima-sdk-basics", "platforms": [ "linux", "macos", "windows" ], "path": "skills/domain/ima-sdk-basics", "icon": null, "iconify": "lucide:megaphone", "checksum": "sha256:7ee5d17fe5234b74480de38b4ea6bb4c892f8ea490b04aa0cbed5bcdd4c960ec", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "himalaya", "type": "skill", "category": "email", "name": "himalaya", "version": "1.1.0", "description": "Himalaya CLI: IMAP/SMTP email from terminal.", "tags": [ "Email", "IMAP", "SMTP", "CLI", "Communication" ], "author": "community", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/email/himalaya", "icon": null, "iconify": null, "checksum": "sha256:286a84ad5b325ac478267dadc66384b5e0516c5780ac720ef88903704c29d028", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "hatch-pet", "type": "skill", "category": "gaming", "name": "hatch-pet", "version": "1.0.0", "description": "Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.", "tags": [ "Pet", "Animation", "Fun" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/hatch-pet", "platforms": [ "linux", "macos", "windows" ], "path": "skills/gaming/hatch-pet", "icon": null, "iconify": "lucide:egg", "checksum": "sha256:6efabf8b6bfba09fb23008290ada3c8d827c9b518f6036915385e1f732a980e3", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "codebase-inspection", "type": "skill", "category": "github", "name": "codebase-inspection", "version": "1.0.0", "description": "Inspect codebases w/ pygount: LOC, languages, ratios.", "tags": [ "LOC", "Code Analysis", "pygount", "Codebase", "Metrics", "Repository" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/github/codebase-inspection", "icon": null, "iconify": null, "checksum": "sha256:cb7ea57a752e907efd4439d7fe10fbcedf466afc8fd9ab47ba5a894296bd3fc2", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gh-address-comments", "type": "skill", "category": "github", "name": "gh-address-comments", "version": "1.0.0", "description": "Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.", "tags": [ "GitHub", "PR Review", "Comments" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/gh-address-comments", "platforms": [ "linux", "macos", "windows" ], "path": "skills/github/gh-address-comments", "icon": null, "iconify": "lucide:message-square-reply", "checksum": "sha256:8a40bbe65830df6dcf0307f7b16bdb8afa622deb518f57ec8ab1cf24489dad8b", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gh-fix-ci", "type": "skill", "category": "github", "name": "gh-fix-ci", "version": "1.0.0", "description": "Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL.", "tags": [ "GitHub", "CI", "Fixes" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/gh-fix-ci", "platforms": [ "linux", "macos", "windows" ], "path": "skills/github/gh-fix-ci", "icon": null, "iconify": "lucide:wrench", "checksum": "sha256:7fcc9ca2e8980c50051bb9292278adf2427e78149598c1cfff619a2a966096e8", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "github-auth", "type": "skill", "category": "github", "name": "github-auth", "version": "1.1.0", "description": "GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.", "tags": [ "GitHub", "Authentication", "Git", "gh-cli", "SSH", "Setup" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/github/github-auth", "icon": null, "iconify": null, "checksum": "sha256:a1aa240260d86ea92e495d47853a7f1cf36b23dde20d2a3419811d7843fa4397", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "github-code-review", "type": "skill", "category": "github", "name": "github-code-review", "version": "1.1.0", "description": "Review PRs: diffs, inline comments via gh or REST.", "tags": [ "GitHub", "Code-Review", "Pull-Requests", "Git", "Quality" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/github/github-code-review", "icon": null, "iconify": null, "checksum": "sha256:b88a54574e8f8d0b60f66bed92464e4055b5b2524b63a7f06171f40f0d731f18", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "github-issues", "type": "skill", "category": "github", "name": "github-issues", "version": "1.1.0", "description": "Create, triage, label, assign GitHub issues via gh or REST.", "tags": [ "GitHub", "Issues", "Project-Management", "Bug-Tracking", "Triage" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/github/github-issues", "icon": null, "iconify": null, "checksum": "sha256:b3ea0e392e01636785fc455dce60feb809dcfead2b9ed3f8f954e4f269102564", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "github-pr-workflow", "type": "skill", "category": "github", "name": "github-pr-workflow", "version": "1.1.0", "description": "GitHub PR lifecycle: branch, commit, open, CI, merge.", "tags": [ "GitHub", "Pull-Requests", "CI/CD", "Git", "Automation", "Merge" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/github/github-pr-workflow", "icon": null, "iconify": null, "checksum": "sha256:246aa0f519fffdddd162385c26bf55911260c94c9cebf01f42e76b6fe1490386", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "github-repo-management", "type": "skill", "category": "github", "name": "github-repo-management", "version": "1.1.0", "description": "Clone/create/fork repos; manage remotes, releases.", "tags": [ "GitHub", "Repositories", "Git", "Releases", "Secrets", "Configuration" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/github/github-repo-management", "icon": null, "iconify": null, "checksum": "sha256:a439ffd85a6af47fc33beb3c675279bcb1611d2d8ac5280578a89dba2021d97e", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "native-mcp", "type": "skill", "category": "mcp", "name": "native-mcp", "version": "1.0.0", "description": "MCP client: connect servers, register tools (stdio/HTTP).", "tags": [ "MCP", "Tools", "Integrations" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/mcp/native-mcp", "icon": null, "iconify": null, "checksum": "sha256:8b32c815eeca1a3f8da307e0c13fc58367e9936d129a7ad860be497835d2e35b", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "black-forest-labs-flux", "type": "skill", "category": "media", "name": "black-forest-labs-flux", "version": "1.0.0", "description": "Use when generating images with FLUX models. Official first-party FLUX image generation skills from Black Forest Labs — the creators of FLUX.1.", "tags": [ "image-gen", "flux", "black-forest-labs", "text-to-image", "bfl", "image-generation", "creative" ], "author": "Black Forest Labs", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/media/black-forest-labs-flux", "icon": null, "iconify": null, "checksum": "sha256:694c3c1c958ec55bdba8f9db2b17bdd6a21ed5df5cad8d0c7a43a191a5fb2cc4", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gif-search", "type": "skill", "category": "media", "name": "gif-search", "version": "1.1.0", "description": "Search/download GIFs from Tenor via curl + jq.", "tags": [ "GIF", "Media", "Search", "Tenor", "API" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/media/gif-search", "icon": null, "iconify": null, "checksum": "sha256:f5e539889c127512f6345a581f9a3e80bc79ae49ed3e7fd8042184da5d12502b", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "songsee", "type": "skill", "category": "media", "name": "songsee", "version": "1.0.0", "description": "Audio spectrograms/features (mel, chroma, MFCC) via CLI.", "tags": [ "Audio", "Visualization", "Spectrogram", "Music", "Analysis" ], "author": "community", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/media/songsee", "icon": null, "iconify": null, "checksum": "sha256:230988ef3b10c6cc6ccebf9cc856c9f27180b88b34a3f4b2b0068fe19ee9ca24", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "speech", "type": "skill", "category": "media", "name": "speech", "version": "1.0.0", "description": "Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.", "tags": [ "Speech", "TTS", "Audio" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/speech", "platforms": [ "linux", "macos", "windows" ], "path": "skills/media/speech", "icon": null, "iconify": "lucide:audio-lines", "checksum": "sha256:484d6310d168ee0fd5c8b65c1caa37e982491d293fd2af814476d289262f9c48", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "spotify", "type": "skill", "category": "media", "name": "spotify", "version": "1.0.0", "description": "Spotify: play, search, queue, manage playlists and devices.", "tags": [ "spotify", "music", "playback", "playlists", "media" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/media/spotify", "icon": null, "iconify": null, "checksum": "sha256:f884148ad7715573f3d7aa2c8912e5bd6d76a7c74d74d21c70490c4806c3dc27", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "transcribe", "type": "skill", "category": "media", "name": "transcribe", "version": "1.0.0", "description": "Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.", "tags": [ "Transcription", "STT", "Audio" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/transcribe", "platforms": [ "linux", "macos", "windows" ], "path": "skills/media/transcribe", "icon": null, "iconify": "lucide:mic", "checksum": "sha256:844b06d6dce08bdff450637d8b10331144026ae5274ad8e3ae9715e963a86117", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "agent-platform-alert-configuration", "type": "skill", "category": "mlops", "name": "agent-platform-alert-configuration", "version": "1.0.0", "description": "Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics (response quality, tool use, hallucination). Also use when provisioning online monitors for quality evaluation, or analyzing live metrics traffic footprints. NOTE: This skill currently only works for the Agent Runtime. Don't use for configuring general GCP alert policies or non-agent GCP alerting policies.", "tags": [ "Google Cloud", "Agent", "Platform", "Alert" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/agent-platform-alert-configuration", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/agent-platform-alert-configuration", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:68016636ea97dca27d4158121d9bf57620d072a6e9fe0678bd17c30476f07e7b", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "agent-platform-deploy", "type": "skill", "category": "mlops", "name": "agent-platform-deploy", "version": "1.0.0", "description": "Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check deployment status, verify serving endpoints, or clean up resources by undeploying models and deleting endpoints. Use when asked to deploy models on Agent Platform, list available Model Garden models, check if a model is deployable, query deployment cost, troubleshoot deployment errors (like quota limits), or undeploy/clean up endpoints. Also use when copying and deploying a 1P Tuned Model. Don't use for public Vertex AI deployments (use the `vertex-deploy` skill) or for running model evaluations (use the `agent-platform-eval` skill).", "tags": [ "Google Cloud", "Agent", "Platform", "Deploy" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/agent-platform-deploy", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/agent-platform-deploy", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:a824ce6a2c58be2a595edceef8e1c505b2bbb7154b13d3a07774042c6cbc0beb", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "agent-platform-endpoint-management", "type": "skill", "category": "mlops", "name": "agent-platform-endpoint-management", "version": "1.0.0", "description": "Manages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serving endpoints for model deployment on Agent Platform. Also use when troubleshooting endpoint permission, quota, or resource busy errors. Don't use for deploying models to endpoints or for running model evaluations.", "tags": [ "Google Cloud", "Agent", "Platform", "Endpoint" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/agent-platform-endpoint-management", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/agent-platform-endpoint-management", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:54777f07b84f99776799c4491710da19135ffb4904cd0d7282d66c7f3db06e60", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "agent-platform-eval-flywheel", "type": "skill", "category": "mlops", "name": "agent-platform-eval-flywheel", "version": "1.0.0", "description": "Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For general production deployment, use agent-platform-deploy.", "tags": [ "Google Cloud", "Agent", "Platform", "Eval" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/agent-platform-eval-flywheel", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/agent-platform-eval-flywheel", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:38dff93cf2d680a7beb3c7fc8dfc23cb4ee486dadf654b8e7924c2a3112e0d33", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "agent-platform-inference", "type": "skill", "category": "mlops", "name": "agent-platform-inference", "version": "1.0.0", "description": "Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when you need to generate code for calling Gemini or OpenMaaS models, authenticate with GenAI SDK, OpenAI SDK, or legacy Agent Platform SDK, configure base URLs and global/regional endpoints, or troubleshoot 429 Resource Exhausted (DSQ), 400 User Validation, or 404 Not Found errors. Don't use for deploying models to endpoints or for running model evaluations.", "tags": [ "Google Cloud", "Agent", "Platform", "Inference" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/agent-platform-inference", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/agent-platform-inference", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:69d091e095860d5061a38c2d4075e3fc1acd4e7bc55b9b9b7bae39bacc988f01", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "agent-platform-migrate-from-ai-studio", "type": "skill", "category": "mlops", "name": "agent-platform-migrate-from-ai-studio", "version": "1.0.0", "description": "Guides agents and users through migrating from Gemini API in Google AI Studio to Gemini Enterprise Agent Platform (formerly Vertex AI). Use this skill when moving applications to Google Cloud, to leverage Cloud credits, or to unify inferencing with other Cloud infrastructure (IAM, billing, telemetry).", "tags": [ "Google Cloud", "Agent", "Platform", "Migrate" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/agent-platform-migrate-from-ai-studio", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/agent-platform-migrate-from-ai-studio", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:5945180833fef07b774f16c77e0207e8237017deeb20db124ea6413e85e62d96", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "agent-platform-model-registry", "type": "skill", "category": "mlops", "name": "agent-platform-model-registry", "version": "1.0.0", "description": "Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.", "tags": [ "Google Cloud", "Agent", "Platform", "Model" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/agent-platform-model-registry", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/agent-platform-model-registry", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:8612d2fba40ce56a1a129f7814a949626282d7d66af350fc57c1b43f117833d3", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "agent-platform-prompt-management", "type": "skill", "category": "mlops", "name": "agent-platform-prompt-management", "version": "1.0.0", "description": "Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.", "tags": [ "Google Cloud", "Agent", "Platform", "Prompt" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/agent-platform-prompt-management", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/agent-platform-prompt-management", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:5c1cf9544812492886a4799e304ad76c702b2cceb8e6e62c1163754cd6691e57", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "agent-platform-rag-engine-management", "type": "skill", "category": "mlops", "name": "agent-platform-rag-engine-management", "version": "1.0.0", "description": "Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google Workspace RAG, or other RAG products like gRAG.", "tags": [ "Google Cloud", "Agent", "Platform", "Rag" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/agent-platform-rag-engine-management", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/agent-platform-rag-engine-management", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:9f18878c239ebcf3704fbb9ce68eeaab23840e7e3b34d642f538040d5695f9c6", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "agent-platform-skill-registry", "type": "skill", "category": "mlops", "name": "agent-platform-skill-registry", "version": "1.0.0", "description": "Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities.\n", "tags": [ "Google Cloud", "Agent", "Platform", "Skill" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/agent-platform-skill-registry", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/agent-platform-skill-registry", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:0bfb5c081ddabc8fe2e5fe5b932ccc28b7b506c23e2bb9cae3a99f40064ab82b", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "agent-platform-tuning", "type": "skill", "category": "mlops", "name": "agent-platform-tuning", "version": "1.0.0", "description": "Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).", "tags": [ "Google Cloud", "Agent", "Platform", "Tuning" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/agent-platform-tuning", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/agent-platform-tuning", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:00ab9555139cf8f1e8b24483587cbcd74c19f3dd59e332833099e8bce31c126f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "agent-platform-tuning-management", "type": "skill", "category": "mlops", "name": "agent-platform-tuning-management", "version": "1.0.0", "description": "Manages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).", "tags": [ "Google Cloud", "Agent", "Platform", "Tuning" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/agent-platform-tuning-management", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/agent-platform-tuning-management", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:04bb00c6e72e34811665b1465c52b367b4092a1f40f82a9b4ae1e53571da62f5", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "audiocraft-audio-generation", "type": "skill", "category": "mlops", "name": "audiocraft-audio-generation", "version": "1.0.0", "description": "AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.", "tags": [ "Multimodal", "Audio Generation", "Text-to-Music", "Text-to-Audio", "MusicGen" ], "author": "Orchestra Research", "license": "MIT", "source": null, "platforms": [ "linux", "macos" ], "path": "skills/mlops/models/audiocraft", "icon": null, "iconify": null, "checksum": "sha256:56e21c6e0b880bfd4aebd5cb7a091aa3f504a975313300e412b25f10c850390f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "detection-engineering-coverage-evaluation", "type": "skill", "category": "mlops", "name": "detection-engineering-coverage-evaluation", "version": "1.0.0", "description": "Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools. Use when fetching threat intelligence from blogs, generating Threat Detection Opportunities (TDOs), simulating attacker behavior with synthetic UDM events, evaluating rule coverage, and generating new YARA-L 2.0 rules to close coverage gaps. Don't use when asked to perform threat hunting actions, and SOC investigative actions.", "tags": [ "Google Cloud", "Detection", "Engineering", "Coverage" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/detection_engineering_coverage_evaluation", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/detection-engineering-coverage-evaluation", "icon": null, "iconify": "lucide:shield", "checksum": "sha256:7226c326063cf22f3bff3bb30ba4b76cafb437abd9ab0f33a00282c228ded344", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "dspy", "type": "skill", "category": "mlops", "name": "dspy", "version": "1.0.0", "description": "DSPy: declarative LM programs, auto-optimize prompts, RAG.", "tags": [ "Prompt Engineering", "DSPy", "Declarative Programming", "RAG", "Agents", "Prompt Optimization", "LM Programming", "Stanford NLP", "Automatic Optimization", "Modular AI" ], "author": "Orchestra Research", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/research/dspy", "icon": null, "iconify": null, "checksum": "sha256:9df3be4778f3db00f504842c7941c69c7de2d644e12e4b9072fcebe2b16d6e37", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "evaluating-llms-harness", "type": "skill", "category": "mlops", "name": "evaluating-llms-harness", "version": "1.0.0", "description": "lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).", "tags": [ "Evaluation", "LM Evaluation Harness", "Benchmarking", "MMLU", "HumanEval", "GSM8K", "EleutherAI", "Model Quality", "Academic Benchmarks", "Industry Standard" ], "author": "Orchestra Research", "license": "MIT", "source": null, "platforms": [ "linux", "macos" ], "path": "skills/mlops/evaluation/lm-evaluation-harness", "icon": null, "iconify": null, "checksum": "sha256:0d80919ffb75253346bcaeacefc4a8ac978c9c5e4fcb57a1136aba5aef3867cf", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gemini-agents-api", "type": "skill", "category": "mlops", "name": "gemini-agents-api", "version": "1.0.0", "description": "Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or delete stateful, server-managed Agent resources (including mounting files, skills, and tools) before executing conversations.", "tags": [ "Google Cloud", "Gemini", "Agents", "Api" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gemini-agents-api", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/gemini-agents-api", "icon": null, "iconify": "lucide:sparkles", "checksum": "sha256:144f4225d9990120409a329cdcf570af3b470de08602217cb22426da41a5a44a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gemini-api", "type": "skill", "category": "mlops", "name": "gemini-api", "version": "1.0.0", "description": "Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.", "tags": [ "Google Cloud", "Gemini", "Api" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gemini-api", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/gemini-api", "icon": null, "iconify": "lucide:sparkles", "checksum": "sha256:1009f0a79380c6c2a71e50384dabad341e0c3eaa04b84af4d1462f9cffbbd63a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gemini-interactions-api", "type": "skill", "category": "mlops", "name": "gemini-interactions-api", "version": "1.0.0", "description": "Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.", "tags": [ "Google Cloud", "Gemini", "Interactions", "Api" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gemini-interactions-api", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/gemini-interactions-api", "icon": null, "iconify": "lucide:sparkles", "checksum": "sha256:1ac85534cc4160fbb077f9f195fd7604a142886367042cd3be4edd9da9c84f83", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-inference", "type": "skill", "category": "mlops", "name": "gke-inference", "version": "1.0.0", "description": "Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. Use when deploying GKE inference servers, configuring GKE GPU resources for inference, or deploying LLMs on GKE. Don't use for generic batch jobs or HPC task queues (use gke-batch-hpc instead).", "tags": [ "Google Cloud", "Gke", "Inference" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-inference", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/gke-inference", "icon": null, "iconify": "lucide:container", "checksum": "sha256:90f76c19578c7455add34644c8300a1eb14d9eb2bd1481d831fdafdf4a2a7860", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-storage", "type": "skill", "category": "mlops", "name": "gke-storage", "version": "1.0.0", "description": "Manages GKE storage, including PVCs, PersistentVolumes, Filestore, and GCS FUSE. Use when configuring GKE storage, creating PVCs, or setting up GCS FUSE on GKE. Don't use for database administration or replication strategies outside volume provisioning context.", "tags": [ "Google Cloud", "Gke", "Storage" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-storage", "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/gke-storage", "icon": null, "iconify": "lucide:container", "checksum": "sha256:8090d0743013c695cedafcd0882cdb371119e96ae39a016811b92c6fc2c2d0b7", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "huggingface-hub", "type": "skill", "category": "mlops", "name": "huggingface-hub", "version": "1.0.0", "description": "HuggingFace hf CLI: search/download/upload models, datasets.", "tags": [], "author": "Hugging Face", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/huggingface-hub", "icon": null, "iconify": null, "checksum": "sha256:a7f62ff32d6650184ef04cc9eba607e6ce12179c6bc1df6896a7fd6a9a744465", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "llama-cpp", "type": "skill", "category": "mlops", "name": "llama-cpp", "version": "2.1.2", "description": "llama.cpp local GGUF inference + HF Hub model discovery.", "tags": [ "llama.cpp", "GGUF", "Quantization", "Hugging Face Hub", "CPU Inference", "Apple Silicon", "Edge Deployment", "AMD GPUs", "Intel GPUs", "NVIDIA", "URL-first" ], "author": "Orchestra Research", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/inference/llama-cpp", "icon": null, "iconify": null, "checksum": "sha256:f3c797c63b34f84713022382ce822cdd280b73a1ec81af9d5e36e94e97501bf8", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "obliteratus", "type": "skill", "category": "mlops", "name": "obliteratus", "version": "2.0.0", "description": "OBLITERATUS: abliterate LLM refusals (diff-in-means).", "tags": [ "Abliteration", "Uncensoring", "Refusal-Removal", "LLM", "Weight-Projection", "SVD", "Mechanistic-Interpretability", "HuggingFace", "Model-Surgery" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos" ], "path": "skills/mlops/inference/obliteratus", "icon": null, "iconify": null, "checksum": "sha256:7a11b8b24005ce92f2d7bf1556139d95bdace8109afd8851e7be41b8d060b3b3", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "segment-anything-model", "type": "skill", "category": "mlops", "name": "segment-anything-model", "version": "1.0.0", "description": "SAM: zero-shot image segmentation via points, boxes, masks.", "tags": [ "Multimodal", "Image Segmentation", "Computer Vision", "SAM", "Zero-Shot" ], "author": "Orchestra Research", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/models/segment-anything", "icon": null, "iconify": null, "checksum": "sha256:09df603af052ca41be176fa0616ffd5188f1d17f7873e9cf8951eedb135f1678", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "serving-llms-vllm", "type": "skill", "category": "mlops", "name": "serving-llms-vllm", "version": "1.0.0", "description": "vLLM: high-throughput LLM serving, OpenAI API, quantization.", "tags": [ "vLLM", "Inference Serving", "PagedAttention", "Continuous Batching", "High Throughput", "Production", "OpenAI API", "Quantization", "Tensor Parallelism" ], "author": "Orchestra Research", "license": "MIT", "source": null, "platforms": [ "linux", "macos" ], "path": "skills/mlops/inference/vllm", "icon": null, "iconify": null, "checksum": "sha256:948a88a85d878b90ee8ebffeeb7f71a3cb783715a65e4419ef54954ce6f4c8f9", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "weights-and-biases", "type": "skill", "category": "mlops", "name": "weights-and-biases", "version": "1.0.0", "description": "W&B: log ML experiments, sweeps, model registry, dashboards.", "tags": [ "MLOps", "Weights And Biases", "WandB", "Experiment Tracking", "Hyperparameter Tuning", "Model Registry", "Collaboration", "Real-Time Visualization", "PyTorch", "TensorFlow", "HuggingFace" ], "author": "Orchestra Research", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/mlops/evaluation/weights-and-biases", "icon": null, "iconify": null, "checksum": "sha256:f2bf97e5a76a81aa04f0fc63dc1ed6362880fb909b6c0c0f824a84d266d745e0", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "obsidian-vault", "type": "skill", "category": "note-taking", "name": "obsidian-vault", "version": "1.0.0", "description": "Search, create, and manage notes in the Obsidian vault with wikilinks and index notes. Use when user wants to find, create, or organize notes in Obsidian.", "tags": [ "Obsidian", "Notes", "Wikilinks" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/personal/obsidian-vault", "platforms": [ "linux", "macos", "windows" ], "path": "skills/note-taking/obsidian-vault", "icon": null, "iconify": "lucide:notebook-pen", "checksum": "sha256:2b09e7fe753bb8057407225ad50b5dd7a744e29083464e6a9b7d6495f00ab243", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "airtable", "type": "skill", "category": "productivity", "name": "airtable", "version": "1.1.0", "description": "Airtable REST API via curl. Records CRUD, filters, upserts.", "tags": [ "Airtable", "Productivity", "Database", "API" ], "author": "community", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/airtable", "icon": null, "iconify": null, "checksum": "sha256:9d8accae0214727ba7cc390716f4e50e199daf4e766e47c0e1bd41b2c90d180e", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "decision-mapping", "type": "skill", "category": "productivity", "name": "decision-mapping", "version": "1.0.0", "description": "Turn a loose idea into a sequenced map of investigation tickets, then drive them to resolution one at a time.", "tags": [ "Decisions", "Mapping", "Planning" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/in-progress/decision-mapping", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/decision-mapping", "icon": null, "iconify": "lucide:git-fork", "checksum": "sha256:20c15bd44dca5e953abe57f65453b2f1767f757803c1975e624aa482f5674dfa", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "define-goal", "type": "skill", "category": "productivity", "name": "define-goal", "version": "1.0.0", "description": "Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.", "tags": [ "Goals", "Planning", "Scoping" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/define-goal", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/define-goal", "icon": null, "iconify": "lucide:target", "checksum": "sha256:a3c0cd2292bc66ccaab9db44fb8b052c0756736008f038c86a90716d15c15ea7", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "edit-article", "type": "skill", "category": "productivity", "name": "edit-article", "version": "1.0.0", "description": "Edit and improve articles by restructuring sections, improving clarity, and tightening prose. Use when user wants to edit, revise, or improve an article draft.", "tags": [ "Writing", "Editing", "Articles" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/personal/edit-article", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/edit-article", "icon": null, "iconify": "lucide:square-pen", "checksum": "sha256:5dff5ea613aa0139658c47190a0d9b25cffd51d44129f51f8d5a4b3aba18c0ac", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-workspace", "type": "skill", "category": "productivity", "name": "google-workspace", "version": "1.1.0", "description": "Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.", "tags": [ "Google", "Gmail", "Calendar", "Drive", "Sheets", "Docs", "Contacts", "Email", "OAuth" ], "author": "Nous Research", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/google-workspace", "icon": null, "iconify": null, "checksum": "sha256:0e93d9c446b52fac51787ae1c86fc4380e9d80b852d7bd179d36624fbe7627d2", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "grill-me", "type": "skill", "category": "productivity", "name": "grill-me", "version": "1.0.0", "description": "A relentless interview to sharpen a plan or design.", "tags": [ "Grilling", "Questions", "Thinking" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/productivity/grill-me", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/grill-me", "icon": null, "iconify": "lucide:flame", "checksum": "sha256:fa9c715047939f1a7be21f9190d197112197d060ea0e4f2da37577d86c2769c4", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "grilling", "type": "skill", "category": "productivity", "name": "grilling", "version": "1.0.0", "description": "Interview the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.", "tags": [ "Grilling", "Critique", "Thinking" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/productivity/grilling", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/grilling", "icon": null, "iconify": "lucide:flame-kindling", "checksum": "sha256:515cd33e265ecdc45ade72afb770d63f3df3890a597d42cfb752b5b77c154b0f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "handoff", "type": "skill", "category": "productivity", "name": "handoff", "version": "1.0.0", "description": "Compact the current conversation into a handoff document for another agent to pick up.", "tags": [ "Handoff", "Context", "Continuity" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/productivity/handoff", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/handoff", "icon": null, "iconify": "lucide:handshake", "checksum": "sha256:4107d4c279a9d4403eefb3081386e14b681aaa3b75a95d57790649ac82ddff04", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "idea-refine", "type": "skill", "category": "productivity", "name": "idea-refine", "version": "1.0.0", "description": "Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on \"ideate\", \"refine this idea\", or \"stress-test my plan\".", "tags": [ "Ideas", "Refinement", "Planning" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/idea-refine", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/idea-refine", "icon": null, "iconify": "lucide:lightbulb", "checksum": "sha256:824a8b2af5643bede1345d1b8880bb2623c1d50378ad43b354090a5e5e54736c", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "interview-me", "type": "skill", "category": "productivity", "name": "interview-me", "version": "1.0.0", "description": "Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified (\"build me X\" without \"for whom\" or \"why now\"), when the user explicitly invokes (\"interview me\", \"grill me\", \"are we sure?\", \"stress-test my thinking\"), or when you catch yourself silently filling in ambiguous requirements before any plan, spec, or code exists.", "tags": [ "Interview", "Requirements", "Discovery" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/interview-me", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/interview-me", "icon": null, "iconify": "lucide:message-circle", "checksum": "sha256:bbb030e316e28565e94dc36dd08813d18c27570803187b6c04287e0a13929fa5", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "linear", "type": "skill", "category": "productivity", "name": "linear", "version": "1.0.0", "description": "Linear: manage issues, projects, teams via GraphQL + curl.", "tags": [ "Linear", "Project Management", "Issues", "GraphQL", "API", "Productivity" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/linear", "icon": null, "iconify": "lucide:square-kanban", "checksum": "sha256:29c1fa277c36a4cb47237f76d05f091e97dd07fdfc164535a671a441195bfc72", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "loop-me", "type": "skill", "category": "productivity", "name": "loop-me", "version": "1.0.0", "description": "Grill me about specs for the workflows I want to build, within this workspace.", "tags": [ "Loop", "Automation", "Workflow" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/in-progress/loop-me", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/loop-me", "icon": null, "iconify": "lucide:repeat", "checksum": "sha256:a2226bb7aae09417d4e298db23ef6e74deca36d099d3621a6100f2bca96b4c7d", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "maps", "type": "skill", "category": "productivity", "name": "maps", "version": "1.2.0", "description": "Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.", "tags": [ "maps", "geocoding", "places", "routing", "distance", "directions", "nearby", "location", "openstreetmap", "nominatim", "overpass", "osrm" ], "author": "Mibayy", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/maps", "icon": null, "iconify": null, "checksum": "sha256:87f79b2975456941e87c68592ae68af111ce660b2bef59aead63264d3a0a00d3", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "nano-pdf", "type": "skill", "category": "productivity", "name": "nano-pdf", "version": "1.0.0", "description": "Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).", "tags": [ "PDF", "Documents", "Editing", "NLP", "Productivity" ], "author": "community", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/nano-pdf", "icon": null, "iconify": null, "checksum": "sha256:10c4f6b131ed8e5f4890691e2918c659ec28cb10a25fc53ee4c118e9ef7b7b3c", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "notion", "type": "skill", "category": "productivity", "name": "notion", "version": "2.0.0", "description": "Notion API + ntn CLI: pages, databases, markdown, Workers.", "tags": [ "Notion", "Productivity", "Notes", "Database", "API", "CLI", "Workers" ], "author": "community", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/notion", "icon": null, "iconify": null, "checksum": "sha256:e6dfd23c862756dc556aa32bb1d1c35c57f46e0818ae738ad76cdf783142d333", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "ocr-and-documents", "type": "skill", "category": "productivity", "name": "ocr-and-documents", "version": "2.3.0", "description": "Extract text from PDFs/scans (pymupdf, marker-pdf).", "tags": [ "PDF", "Documents", "Research", "Arxiv", "Text-Extraction", "OCR" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/ocr-and-documents", "icon": null, "iconify": null, "checksum": "sha256:c1c1ac74707ffe44b85f2a6e57d3e842e0555e26183000b375ebf81887098a91", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "openai-linear", "type": "skill", "category": "productivity", "name": "openai-linear", "version": "1.0.0", "description": "Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.", "tags": [ "Linear", "Issues", "Project Management" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/linear", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/openai-linear", "icon": null, "iconify": "lucide:list-todo", "checksum": "sha256:a1b1adbc6e585b2f8f5201f70857ed34c4a7cdc07632a6a7a61aba170b44876c", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "openai-pdf", "type": "skill", "category": "productivity", "name": "openai-pdf", "version": "1.0.0", "description": "Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.", "tags": [ "PDF", "Documents", "Rendering" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/pdf", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/openai-pdf", "icon": null, "iconify": "lucide:file-down", "checksum": "sha256:55451242d7a29874062ebcbe06fb6ab498ff46534b42a90962d7490a25b5d220", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "planning-and-task-breakdown", "type": "skill", "category": "productivity", "name": "planning-and-task-breakdown", "version": "1.0.0", "description": "Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.", "tags": [ "Planning", "Tasks", "Breakdown" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/planning-and-task-breakdown", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/planning-and-task-breakdown", "icon": null, "iconify": "lucide:list-tree", "checksum": "sha256:88442290f4778dc88bea088840d0ab363840a3334eabe2b02642ec6a352ca5af", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "teach", "type": "skill", "category": "productivity", "name": "teach", "version": "1.0.0", "description": "Teach the user a new skill or concept, within this workspace.", "tags": [ "Teaching", "Learning", "Concepts" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/productivity/teach", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/teach", "icon": null, "iconify": "lucide:graduation-cap", "checksum": "sha256:f416b513a94ab388bbd16fd03de0c7c9344e8a43987832fb1b3c1ca873ddc2a7", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "teams-meeting-pipeline", "type": "skill", "category": "productivity", "name": "teams-meeting-pipeline", "version": "1.1.0", "description": "Operate the Teams meeting summary pipeline via LibreAgents CLI — summarize meetings, inspect pipeline status, replay jobs, manage Microsoft Graph subscriptions.", "tags": [ "Teams", "Microsoft Graph", "Meetings", "Productivity", "Operations" ], "author": "LibreAgents + Teknium", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/teams-meeting-pipeline", "icon": null, "iconify": null, "checksum": "sha256:f794d7888c3e403cbb79f7698f348273d3517702f7344a0671126fc8cd66a95f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "writing-beats", "type": "skill", "category": "productivity", "name": "writing-beats", "version": "1.0.0", "description": "Writing, exploit — assemble raw material into a journey of beats, grounding each term before a beat leans on it.", "tags": [ "Writing", "Structure", "Drafting" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/in-progress/writing-beats", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/writing-beats", "icon": null, "iconify": "lucide:feather", "checksum": "sha256:ce905963fecc569ce661e8667dbd239c3affed4b71594852f4806e9757370906", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "writing-fragments", "type": "skill", "category": "productivity", "name": "writing-fragments", "version": "1.0.0", "description": "Writing, explore — mine raw fragments, no structure yet.", "tags": [ "Writing", "Fragments", "Drafting" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/in-progress/writing-fragments", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/writing-fragments", "icon": null, "iconify": "lucide:pencil-line", "checksum": "sha256:701ed1676206502dadc73096115faac86a731f857d7cc694196682237b5a1762", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "writing-shape", "type": "skill", "category": "productivity", "name": "writing-shape", "version": "1.0.0", "description": "Writing, exploit — shape raw material into an article, paragraph by paragraph.", "tags": [ "Writing", "Structure", "Editing" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/in-progress/writing-shape", "platforms": [ "linux", "macos", "windows" ], "path": "skills/productivity/writing-shape", "icon": null, "iconify": "lucide:pen-tool", "checksum": "sha256:de1d1e156556c9173a5d22009969698aca47b029a41a1394f9cdd797b6ad45f9", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "cybersecurity-mitre", "type": "skill", "category": "red-teaming", "name": "cybersecurity-mitre", "version": "1.0.0", "description": "Use when performing security research, red-teaming, or threat modeling. 753+ structured cybersecurity skills mapped to MITRE ATT&CK tactics and techniques.", "tags": [ "cybersecurity", "mitre", "att&ck", "red-teaming", "penetration-testing", "threat-modeling", "security-research", "offensive-security" ], "author": "mukul975", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/cybersecurity-mitre", "icon": null, "iconify": null, "checksum": "sha256:b117e80ac21106d2221f89aaee879f4fb0e9fa9659bf23182e8dc3af1add0229", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "gke-security", "type": "skill", "category": "red-teaming", "name": "gke-security", "version": "1.0.0", "description": "Plans, configures, and hardens Google Kubernetes Engine (GKE) security. Covers Workload Identity Federation, Secret Manager integration, RBAC hardening, Binary Authorization, Network Policies (Dataplane V2), Pod Security Standards, and IAM roles. Use when securing GKE clusters, setting up Workload Identity, hardening RBAC configurations, or configuring GKE secrets. Don't use for general network routing configuration (use gke-networking instead).", "tags": [ "Google Cloud", "Gke", "Security" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/gke-security", "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/gke-security", "icon": null, "iconify": "lucide:container", "checksum": "sha256:641a06b899d9dfa5bb418ef3544c43e9dc26c212510efce8ba9dffb16167c38a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "godmode", "type": "skill", "category": "red-teaming", "name": "godmode", "version": "1.0.0", "description": "Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.", "tags": [ "jailbreak", "red-teaming", "G0DM0D3", "Parseltongue", "GODMODE", "uncensoring", "safety-bypass", "prompt-engineering", "L1B3RT4S" ], "author": "LibreAgents + Teknium", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/godmode", "icon": null, "iconify": null, "checksum": "sha256:48ed12aa935583d0e8facdadfb7496ee6fbe17a9b61beebd3387114992e65869", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-cloud-waf-cost-optimization", "type": "skill", "category": "red-teaming", "name": "google-cloud-waf-cost-optimization", "version": "1.0.0", "description": "Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify cost requirements and constraints, and provide actionable recommendations for build, deploy, and manage the workload cost-efficiently in Google Cloud.", "tags": [ "Google Cloud", "Cloud", "Waf", "Cost" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/google-cloud-waf-cost-optimization", "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/google-cloud-waf-cost-optimization", "icon": null, "iconify": "lucide:shield", "checksum": "sha256:49e970afa68ed0edc2ddde587af1616756c9f5621ce638b4234efc720ce0995a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-cloud-waf-operational-excellence", "type": "skill", "category": "red-teaming", "name": "google-cloud-waf-operational-excellence", "version": "1.0.0", "description": "Generates operations-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify operational requirements, and provide actionable recommendations for deployment, monitoring, and incident management.", "tags": [ "Google Cloud", "Cloud", "Waf", "Operational" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/google-cloud-waf-operational-excellence", "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/google-cloud-waf-operational-excellence", "icon": null, "iconify": "lucide:shield", "checksum": "sha256:1559a6015b23602ef3e68aedf46ac97f7c4e52a417751d30922b73faea985369", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-cloud-waf-performance-optimization", "type": "skill", "category": "red-teaming", "name": "google-cloud-waf-performance-optimization", "version": "1.0.0", "description": "Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.", "tags": [ "Google Cloud", "Cloud", "Waf", "Performance" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/google-cloud-waf-performance-optimization", "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/google-cloud-waf-performance-optimization", "icon": null, "iconify": "lucide:shield", "checksum": "sha256:8d3ab71f2c5ea63158281d124033fda9f9e5ae849ad9309d502a77d4e8cadd62", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-cloud-waf-reliability", "type": "skill", "category": "red-teaming", "name": "google-cloud-waf-reliability", "version": "1.0.0", "description": "Generates reliability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use this skill to evaluate a workload, identify reliability requirements, and provide actionable recommendations for build, deploy, and manage the workload reliably in Google Cloud.", "tags": [ "Google Cloud", "Cloud", "Waf", "Reliability" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/google-cloud-waf-reliability", "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/google-cloud-waf-reliability", "icon": null, "iconify": "lucide:shield", "checksum": "sha256:29f9be779140d98a41c056c5efe9efa52f95d84fc5a2e312fc45da3c60f53d12", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-cloud-waf-security", "type": "skill", "category": "red-teaming", "name": "google-cloud-waf-security", "version": "1.0.0", "description": "Generates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.", "tags": [ "Google Cloud", "Cloud", "Waf", "Security" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/google-cloud-waf-security", "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/google-cloud-waf-security", "icon": null, "iconify": "lucide:shield", "checksum": "sha256:1a06c48d716949b20d78ccea0eab06a6a7c2b1476ae27291a0a8eb0703714414", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "google-cloud-waf-sustainability", "type": "skill", "category": "red-teaming", "name": "google-cloud-waf-sustainability", "version": "1.0.0", "description": "Generates sustainability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify environmental impact requirements, and provide actionable recommendations to build, deploy, and manage the workload sustainably in Google Cloud.", "tags": [ "Google Cloud", "Cloud", "Waf", "Sustainability" ], "author": "google", "license": "Apache-2.0", "source": "https://github.com/google/skills/tree/main/skills/cloud/google-cloud-waf-sustainability", "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/google-cloud-waf-sustainability", "icon": null, "iconify": "lucide:shield", "checksum": "sha256:b0e7ab98002c9203b660e0add457fa98a265b87a44e82ef041853daf4fe905ca", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "security-and-hardening", "type": "skill", "category": "red-teaming", "name": "security-and-hardening", "version": "1.0.0", "description": "Hardens code against vulnerabilities. Use when handling user input, authentication, data storage, or external integrations. Use when building any feature that accepts untrusted data, manages user sessions, or interacts with third-party services.", "tags": [ "Security", "Hardening", "Defense" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/security-and-hardening", "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/security-and-hardening", "icon": null, "iconify": "lucide:lock", "checksum": "sha256:5a8c7f5d0c48bfe3334818ad099ef87782cdcc20a9a3de5d54c1b07fd5ac32fb", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "security-best-practices", "type": "skill", "category": "red-teaming", "name": "security-best-practices", "version": "1.0.0", "description": "Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.", "tags": [ "Security", "Best Practices", "Web" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/security-best-practices", "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/security-best-practices", "icon": null, "iconify": "lucide:shield-check", "checksum": "sha256:bb84ffca4934106c54835b315f7f291c2d7461526aeca1da657cf177e13941e9", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "security-ownership-map", "type": "skill", "category": "red-teaming", "name": "security-ownership-map", "version": "1.0.0", "description": "Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions.", "tags": [ "Security", "Ownership", "Codebase" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/security-ownership-map", "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/security-ownership-map", "icon": null, "iconify": "lucide:map", "checksum": "sha256:aac09d2e366a773e6610083ef7de9d2e99618f789a8ba356dfaae2d6e5439e78", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "security-threat-model", "type": "skill", "category": "red-teaming", "name": "security-threat-model", "version": "1.0.0", "description": "Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Trigger only when the user explicitly asks to threat model a codebase or path, enumerate threats/abuse paths, or perform AppSec threat modeling. Do not trigger for general architecture summaries, code review, or non-security design work.", "tags": [ "Security", "Threat Model", "Analysis" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/security-threat-model", "platforms": [ "linux", "macos", "windows" ], "path": "skills/red-teaming/security-threat-model", "icon": null, "iconify": "lucide:shield-alert", "checksum": "sha256:d96c7745842f34489d619aebddf4829715154d25abd22d9e90df8b12f8da57ac", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "arxiv", "type": "skill", "category": "research", "name": "arxiv", "version": "1.0.0", "description": "Search arXiv papers by keyword, author, category, or ID.", "tags": [ "Research", "Arxiv", "Papers", "Academic", "Science", "API" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/research/arxiv", "icon": null, "iconify": null, "checksum": "sha256:dadefc3bd2130d060205fcc1efee1691430974d656ad12388574d3e56bab7b36", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "blogwatcher", "type": "skill", "category": "research", "name": "blogwatcher", "version": "2.0.0", "description": "Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.", "tags": [ "RSS", "Blogs", "Feed-Reader", "Monitoring" ], "author": "JulienTant (fork of Hyaxia/blogwatcher)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/research/blogwatcher", "icon": null, "iconify": null, "checksum": "sha256:162b4107b18f59f3db50aa9a766894a22dcc9a7d76120c409417660444bec178", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "llm-wiki", "type": "skill", "category": "research", "name": "llm-wiki", "version": "2.1.0", "description": "Karpathy's LLM Wiki: build/query interlinked markdown KB.", "tags": [ "wiki", "knowledge-base", "research", "notes", "markdown", "rag-alternative" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/research/llm-wiki", "icon": null, "iconify": null, "checksum": "sha256:ebeb635ba037edc60c009435142e1995dc8436860783b3cc37da499f19f96fad", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "research-paper-writing", "type": "skill", "category": "research", "name": "research-paper-writing", "version": "1.1.0", "description": "Write ML papers for NeurIPS/ICML/ICLR: design→submit.", "tags": [ "Research", "Paper Writing", "Experiments", "ML", "AI", "NeurIPS", "ICML", "ICLR", "ACL", "AAAI", "COLM", "LaTeX", "Citations", "Statistical Analysis" ], "author": "Orchestra Research", "license": "MIT", "source": null, "platforms": [ "linux", "macos" ], "path": "skills/research/research-paper-writing", "icon": null, "iconify": null, "checksum": "sha256:0210b907e849fb48597d885479e5653c4456b021a449e1549e8d991b9c78a63a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "openhue", "type": "skill", "category": "smart-home", "name": "openhue", "version": "1.0.0", "description": "Control Philips Hue lights, scenes, rooms via OpenHue CLI.", "tags": [ "Smart-Home", "Hue", "Lights", "IoT", "Automation" ], "author": "community", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/smart-home/openhue", "icon": null, "iconify": null, "checksum": "sha256:bc497ef88ea891649e8449a56804ff3c30612197a12df1cf555395927030753f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "xurl", "type": "skill", "category": "social-media", "name": "xurl", "version": "1.1.1", "description": "X/Twitter via xurl CLI: post, search, DM, media, v2 API.", "tags": [ "twitter", "x", "social-media", "xurl", "official-api" ], "author": "xdevplatform + openclaw + LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos" ], "path": "skills/social-media/xurl", "icon": null, "iconify": null, "checksum": "sha256:5533b67f6459f3925435bc68f28fc8df62b96a60f5a4389852cc19c24af8061c", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "api-and-interface-design", "type": "skill", "category": "software-development", "name": "api-and-interface-design", "version": "1.0.0", "description": "Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.", "tags": [ "API", "Interface Design", "Architecture" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/api-and-interface-design", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/api-and-interface-design", "icon": null, "iconify": "lucide:blocks", "checksum": "sha256:5ab509ac488bdd25d05f19edde31646438521a438d8631c74a4ae5517d651117", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "ask-matt", "type": "skill", "category": "software-development", "name": "ask-matt", "version": "1.0.0", "description": "Ask which skill or flow fits your situation. A router over the user-invoked skills in this repo.", "tags": [ "Engineering", "Advice", "Claude Code" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/ask-matt", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/ask-matt", "icon": null, "iconify": "lucide:messages-square", "checksum": "sha256:1a385dc8f14722ba0a6b59f2e4306177cca83af59542a8d8cfdaf0ae4caeef10", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "aspnet-core", "type": "skill", "category": "software-development", "name": "aspnet-core", "version": "1.0.0", "description": "Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.", "tags": [ "ASP.NET", ".NET", "Backend", "C#" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/aspnet-core", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/aspnet-core", "icon": null, "iconify": "lucide:code", "checksum": "sha256:6b73f6a369274a5e656a31636fa1732af071976387f38abba87bd0cabc1cdbdd", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "brainstorming", "type": "skill", "category": "software-development", "name": "brainstorming", "version": "1.0.0", "description": "You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.", "tags": [ "Brainstorming", "Ideation", "Planning" ], "author": "obra", "license": "MIT", "source": "https://github.com/obra/superpowers/tree/main/skills/brainstorming", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/brainstorming", "icon": null, "iconify": "lucide:lightbulb", "checksum": "sha256:2eda9c26bd26f077d969d9fd33baceff60176de1c6cd9d596830b1b253999925", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "browser-testing-with-devtools", "type": "skill", "category": "software-development", "name": "browser-testing-with-devtools", "version": "1.0.0", "description": "Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.", "tags": [ "Browser", "Testing", "DevTools" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/browser-testing-with-devtools", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/browser-testing-with-devtools", "icon": null, "iconify": "lucide:monitor", "checksum": "sha256:3da0e42695d0bec026a910e318d6cf12182f5f57b39b0e19356ebd7f56e53889", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "chatgpt-apps", "type": "skill", "category": "software-development", "name": "chatgpt-apps", "version": "1.0.0", "description": "Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.", "tags": [ "ChatGPT", "Apps SDK", "OpenAI" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/chatgpt-apps", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/chatgpt-apps", "icon": null, "iconify": "lucide:bot", "checksum": "sha256:1bf4256aadd58cf8f756417e5beb0b4967eae275a10a14a0d07d52bf8d2bad26", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "cli-creator", "type": "skill", "category": "software-development", "name": "cli-creator", "version": "1.0.0", "description": "Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read/write commands, return stable JSON, manage auth, and pair with a companion skill.", "tags": [ "CLI", "Tooling", "Scaffolding" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/cli-creator", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/cli-creator", "icon": null, "iconify": "lucide:terminal", "checksum": "sha256:593242dfd402785ef82379920e9a6627ae04586ec4e71fcb05963685b80b1d3c", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "code-review-and-quality", "type": "skill", "category": "software-development", "name": "code-review-and-quality", "version": "1.0.0", "description": "Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.", "tags": [ "Code Review", "Quality", "Standards" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/code-review-and-quality", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/code-review-and-quality", "icon": null, "iconify": "lucide:file-check", "checksum": "sha256:9b1fe103fac3cbfa083ad6056dbc98c7f36e93f69e1c857f863515c87d456129", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "code-simplification", "type": "skill", "category": "software-development", "name": "code-simplification", "version": "1.0.0", "description": "Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity.", "tags": [ "Refactoring", "Simplification", "Cleanup" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/code-simplification", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/code-simplification", "icon": null, "iconify": "lucide:scissors", "checksum": "sha256:e01caa22103c2c2e54439cb0e9687e4ef8bc1114b9d63b6491cb8cd9adcecebb", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "codebase-design", "type": "skill", "category": "software-development", "name": "codebase-design", "version": "1.0.0", "description": "Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.", "tags": [ "Architecture", "Design", "Codebase" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/codebase-design", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/codebase-design", "icon": null, "iconify": "lucide:pencil-ruler", "checksum": "sha256:f26d9d0e156cc4f565e28710afd84598d1203606c4ca068e04321acb9a1e73c4", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "context-engineering", "type": "skill", "category": "software-development", "name": "context-engineering", "version": "1.0.0", "description": "Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.", "tags": [ "Context", "Prompting", "Agents" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/context-engineering", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/context-engineering", "icon": null, "iconify": "lucide:brackets", "checksum": "sha256:6f2d3e64d70f947c32c80f6f5ea7dba260f1b9ffdf35549435d9749d502e5a39", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "debugging-and-error-recovery", "type": "skill", "category": "software-development", "name": "debugging-and-error-recovery", "version": "1.0.0", "description": "Guides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing.", "tags": [ "Debugging", "Errors", "Recovery" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/debugging-and-error-recovery", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/debugging-and-error-recovery", "icon": null, "iconify": "lucide:bug-off", "checksum": "sha256:c6df91a975405f81111b6556820695f3355cc157f2fee21dfb43bbcc3dfdc69d", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "deprecation-and-migration", "type": "skill", "category": "software-development", "name": "deprecation-and-migration", "version": "1.0.0", "description": "Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when deciding whether to maintain or sunset existing code.", "tags": [ "Deprecation", "Migration", "Refactoring" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/deprecation-and-migration", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/deprecation-and-migration", "icon": null, "iconify": "lucide:archive", "checksum": "sha256:eb4c9509b07c00b8c7d6def92728b4f11816f7a400d16a3ea509d98160359880", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "diagnosing-bugs", "type": "skill", "category": "software-development", "name": "diagnosing-bugs", "version": "1.0.0", "description": "Diagnosis loop for hard bugs and performance regressions. Use when the user says \"diagnose\"/\"debug this\", or reports something broken/throwing/failing/slow.", "tags": [ "Debugging", "Bugs", "Diagnosis" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/diagnosing-bugs", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/diagnosing-bugs", "icon": null, "iconify": "lucide:bug", "checksum": "sha256:a1093c796e263f7f780fe1d4920a8d64fe85e99f0fcdac4e8a12437b2f8d3ab6", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "dispatching-parallel-agents", "type": "skill", "category": "software-development", "name": "dispatching-parallel-agents", "version": "1.0.0", "description": "Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies", "tags": [ "Agents", "Parallel", "Orchestration" ], "author": "obra", "license": "MIT", "source": "https://github.com/obra/superpowers/tree/main/skills/dispatching-parallel-agents", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/dispatching-parallel-agents", "icon": null, "iconify": "lucide:split", "checksum": "sha256:9033986d06772dde83a609cb9162ce6719999023419b3a565d4f7ed63e5a663a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "documentation-and-adrs", "type": "skill", "category": "software-development", "name": "documentation-and-adrs", "version": "1.0.0", "description": "Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.", "tags": [ "Documentation", "ADRs", "Decisions" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/documentation-and-adrs", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/documentation-and-adrs", "icon": null, "iconify": "lucide:book-text", "checksum": "sha256:addceff0f0ed3d22b03ff9759780913e50d503616afdd038b487fe52c5d7f699", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "domain-modeling", "type": "skill", "category": "software-development", "name": "domain-modeling", "version": "1.0.0", "description": "Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.", "tags": [ "Domain Modeling", "DDD", "Architecture" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/domain-modeling", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/domain-modeling", "icon": null, "iconify": "lucide:boxes", "checksum": "sha256:a9467facbe02b301af725070836fdde1b238af235df05fe94b6def4bdb1945a1", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "doubt-driven-development", "type": "skill", "category": "software-development", "name": "doubt-driven-development", "version": "1.0.0", "description": "Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when correctness matters more than speed, when working in unfamiliar code, when stakes are high (production, security-sensitive logic, irreversible operations), or any time a confident output would be cheaper to verify now than to debug later.", "tags": [ "Methodology", "Assumptions", "Verification" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/doubt-driven-development", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/doubt-driven-development", "icon": null, "iconify": "lucide:circle-help", "checksum": "sha256:a4293c5e6bbe7b5714a5a38f996c311bdce0698c776c20db80f269065b331b80", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "executing-plans", "type": "skill", "category": "software-development", "name": "executing-plans", "version": "1.0.0", "description": "Use when you have a written implementation plan to execute in a separate session with review checkpoints", "tags": [ "Plans", "Execution", "Workflow" ], "author": "obra", "license": "MIT", "source": "https://github.com/obra/superpowers/tree/main/skills/executing-plans", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/executing-plans", "icon": null, "iconify": "lucide:circle-play", "checksum": "sha256:2bf31dbb403f2b36e64ff0bb067511343020d38d334175db1c3dd355b4593553", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "finishing-a-development-branch", "type": "skill", "category": "software-development", "name": "finishing-a-development-branch", "version": "1.0.0", "description": "Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup", "tags": [ "Git", "Branch", "Workflow" ], "author": "obra", "license": "MIT", "source": "https://github.com/obra/superpowers/tree/main/skills/finishing-a-development-branch", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/finishing-a-development-branch", "icon": null, "iconify": "lucide:git-branch", "checksum": "sha256:1949408fa79baad5a05d786431f4d0e7c1a5ad87fd543e1d2b0bda8a83ce772d", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "git-workflow-and-versioning", "type": "skill", "category": "software-development", "name": "git-workflow-and-versioning", "version": "1.0.0", "description": "Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, or when you need to organize work across multiple parallel streams.", "tags": [ "Git", "Workflow", "Versioning" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/git-workflow-and-versioning", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/git-workflow-and-versioning", "icon": null, "iconify": "lucide:git-graph", "checksum": "sha256:32858c700f9f8052664c4a4242cc15530caf6a2ad9007eb23b3db7e815f71bc4", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "grill-with-docs", "type": "skill", "category": "software-development", "name": "grill-with-docs", "version": "1.0.0", "description": "A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.", "tags": [ "Docs", "Review", "Verification" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/grill-with-docs", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/grill-with-docs", "icon": null, "iconify": "lucide:book-open-check", "checksum": "sha256:49daa70629cb208d88fe03a52ffdd26f91dc0ef421b6e05ab3fb02e2520772c7", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "implement", "type": "skill", "category": "software-development", "name": "implement", "version": "1.0.0", "description": "Implement a piece of work based on a PRD or set of issues.", "tags": [ "Implementation", "Coding", "Workflow" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/implement", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/implement", "icon": null, "iconify": "lucide:hammer", "checksum": "sha256:2bc0002a58132f899c4b15e131cae433ddd09b69c0f593206dabcde0d95eace5", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "improve-codebase-architecture", "type": "skill", "category": "software-development", "name": "improve-codebase-architecture", "version": "1.0.0", "description": "Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.", "tags": [ "Architecture", "Refactoring", "Codebase" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/improve-codebase-architecture", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/improve-codebase-architecture", "icon": null, "iconify": "lucide:building-2", "checksum": "sha256:94b0885e78335e26acc7ed7b9a540378eed90aa83b9df8a6265f06f20817284d", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "incremental-implementation", "type": "skill", "category": "software-development", "name": "incremental-implementation", "version": "1.0.0", "description": "Delivers changes incrementally. Use when implementing any feature or change that touches more than one file. Use when you're about to write a large amount of code at once, or when a task feels too big to land in one step.", "tags": [ "Implementation", "Incremental", "Workflow" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/incremental-implementation", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/incremental-implementation", "icon": null, "iconify": "lucide:list-plus", "checksum": "sha256:ed8c914574c540c266d1c977de90844e1ba8b54a3813b1311446ea1b20341d90", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "karpathy-guidelines", "type": "skill", "category": "software-development", "name": "karpathy-guidelines", "version": "1.0.0", "description": "Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.", "tags": [ "Karpathy", "Guidelines", "Coding", "LLM", "Best Practices" ], "author": "multica-ai", "license": "MIT", "source": "https://github.com/multica-ai/andrej-karpathy-skills/tree/main/skills/karpathy-guidelines", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/karpathy-guidelines", "icon": null, "iconify": "lucide:scroll-text", "checksum": "sha256:025d4673192ff3a4e9740bf1eed470829a0b2f0902f6f94fa9321e69caabb4ef", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "migrate-to-codex", "type": "skill", "category": "software-development", "name": "migrate-to-codex", "version": "1.0.0", "description": "Migrate supported instruction files, skills, agents, and MCP config into Codex project and global files.", "tags": [ "Codex", "Migration", "Tooling" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/migrate-to-codex", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/migrate-to-codex", "icon": null, "iconify": "lucide:import", "checksum": "sha256:48f6112680a5ccbc47d1cfffcad941ea44b1580706270b01d4cc1b78cd578ce8", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "migrate-to-shoehorn", "type": "skill", "category": "software-development", "name": "migrate-to-shoehorn", "version": "1.0.0", "description": "Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.", "tags": [ "Migration", "Shoehorn", "Refactoring" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/misc/migrate-to-shoehorn", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/migrate-to-shoehorn", "icon": null, "iconify": "lucide:arrow-left-right", "checksum": "sha256:6348ee31fad88dcd0cc141c4292f666dbc9b89236399413598a003bbab6994a6", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "node-inspect-debugger", "type": "skill", "category": "software-development", "name": "node-inspect-debugger", "version": "1.0.0", "description": "Debug Node.js via --inspect + Chrome DevTools Protocol CLI.", "tags": [ "debugging", "nodejs", "node-inspect", "cdp", "breakpoints", "ui-tui" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/node-inspect-debugger", "icon": null, "iconify": null, "checksum": "sha256:82c7016fb1cd08f3c883bd008a27276e90dd74a7a60ca29bb2fae0efb5277a00", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "openai-docs", "type": "skill", "category": "software-development", "name": "openai-docs", "version": "1.0.0", "description": "Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.", "tags": [ "OpenAI", "Docs", "Reference" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/openai-docs", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/openai-docs", "icon": null, "iconify": "lucide:book-open-text", "checksum": "sha256:f6b2661ed9dc47b2fc7807629de73a431a23687925437a9986731cc0e21dcc51", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "performance-optimization", "type": "skill", "category": "software-development", "name": "performance-optimization", "version": "1.0.0", "description": "Optimizes application performance. Use when performance requirements exist, when you suspect performance regressions, or when Core Web Vitals or load times need improvement. Use when profiling reveals bottlenecks that need fixing.", "tags": [ "Performance", "Optimization", "Profiling" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/performance-optimization", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/performance-optimization", "icon": null, "iconify": "lucide:gauge", "checksum": "sha256:4015b13b4b7a0790984b399cbf4ad36bc139de70dc87552f45785c61abfc8636", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "plan", "type": "skill", "category": "software-development", "name": "plan", "version": "1.0.0", "description": "Plan mode: write markdown plan to .libreagents/plans/, no exec.", "tags": [ "planning", "plan-mode", "implementation", "workflow" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/plan", "icon": null, "iconify": null, "checksum": "sha256:1253b8078dfa36b76ca49c3ec1703fd48e57ab357be4a47de44146dfc805b47b", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "playwright", "type": "skill", "category": "software-development", "name": "playwright", "version": "1.0.0", "description": "Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script.", "tags": [ "Playwright", "Browser", "Automation" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/playwright", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/playwright", "icon": null, "iconify": "lucide:drama", "checksum": "sha256:2c9b9cd32b6c84e1eb15b2aa42c5d963608c4aeaedea1ff856a0db9a21f39556", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "playwright-interactive", "type": "skill", "category": "software-development", "name": "playwright-interactive", "version": "1.0.0", "description": "Persistent browser and Electron interaction through `js_repl` for fast iterative UI debugging.", "tags": [ "Playwright", "Interactive", "Testing" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/playwright-interactive", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/playwright-interactive", "icon": null, "iconify": "lucide:mouse-pointer-click", "checksum": "sha256:d3820ec8f25043b4cd93d1a8ae66f2df67e9398699f2de3875db65ecbe913597", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "prototype", "type": "skill", "category": "software-development", "name": "prototype", "version": "1.0.0", "description": "Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.", "tags": [ "Prototyping", "UI", "Logic" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/prototype", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/prototype", "icon": null, "iconify": "lucide:drafting-compass", "checksum": "sha256:6f9f3aeda2d6298b2060f58cb9a4c9e02cafaa24f071c83ab8f8e38c89713df7", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "python-debugpy", "type": "skill", "category": "software-development", "name": "python-debugpy", "version": "1.0.0", "description": "Debug Python: pdb REPL + debugpy remote (DAP).", "tags": [ "debugging", "python", "pdb", "debugpy", "breakpoints", "dap", "post-mortem" ], "author": "LibreAgents", "license": "MIT", "source": null, "platforms": [ "linux", "macos" ], "path": "skills/software-development/python-debugpy", "icon": null, "iconify": null, "checksum": "sha256:0f82b54e538db8176a4db1e4b7483e83364c7772d77e665854358bd54d4b6bbf", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "receiving-code-review", "type": "skill", "category": "software-development", "name": "receiving-code-review", "version": "1.0.0", "description": "Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation", "tags": [ "Code Review", "Feedback" ], "author": "obra", "license": "MIT", "source": "https://github.com/obra/superpowers/tree/main/skills/receiving-code-review", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/receiving-code-review", "icon": null, "iconify": "lucide:inbox", "checksum": "sha256:44d6867648d00acb4d1e5fe5f3365ceed2411a24bd31969d20f64370ef29fd30", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "requesting-code-review", "type": "skill", "category": "software-development", "name": "requesting-code-review", "version": "2.0.0", "description": "Pre-commit review: security scan, quality gates, auto-fix.", "tags": [ "code-review", "security", "verification", "quality", "pre-commit", "auto-fix" ], "author": "LibreAgents (adapted from obra/superpowers + MorAlekss)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/requesting-code-review", "icon": null, "iconify": null, "checksum": "sha256:63f8d69d05dbce50892a9b177d98709c9517ce7a4eb6db2a801d345d84cd08f5", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "resolving-merge-conflicts", "type": "skill", "category": "software-development", "name": "resolving-merge-conflicts", "version": "1.0.0", "description": "Use when you need to resolve an in-progress git merge/rebase conflict.", "tags": [ "Git", "Merge", "Conflicts" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/resolving-merge-conflicts", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/resolving-merge-conflicts", "icon": null, "iconify": "lucide:git-merge", "checksum": "sha256:8489d548080123511275e82c0b0b7266d1522a4b37e3707499efa5815b5397a0", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "review", "type": "skill", "category": "software-development", "name": "review", "version": "1.0.0", "description": "Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to \"review since X\".", "tags": [ "Code Review", "Standards", "Spec" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/in-progress/review", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/review", "icon": null, "iconify": "lucide:scan-search", "checksum": "sha256:0724ec0fc6320077fe861f7f390dbeb28ab8d39786964176331004b318375a61", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "scaffold-exercises", "type": "skill", "category": "software-development", "name": "scaffold-exercises", "version": "1.0.0", "description": "Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.", "tags": [ "Scaffolding", "Exercises", "Learning" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/misc/scaffold-exercises", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/scaffold-exercises", "icon": null, "iconify": "lucide:layout-list", "checksum": "sha256:9ec25eeaf869edf4167bb3e7be8a3c5ebe0b86a87151b6a56c930094298d7ab0", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "screenshot", "type": "skill", "category": "software-development", "name": "screenshot", "version": "1.0.0", "description": "Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.", "tags": [ "Screenshot", "Capture", "macOS" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/screenshot", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/screenshot", "icon": null, "iconify": "lucide:camera", "checksum": "sha256:f25d3ee9847d21e3476b8f362030c0ccca46e3c78019fb461c3f564e7960a0df", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "setup-matt-pocock-skills", "type": "skill", "category": "software-development", "name": "setup-matt-pocock-skills", "version": "1.0.0", "description": "Configure this repo for the engineering skills — set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.", "tags": [ "Setup", "Skills", "Configuration" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/setup-matt-pocock-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/setup-matt-pocock-skills", "icon": null, "iconify": "lucide:settings", "checksum": "sha256:c63b940c8e2d8eb50a7f82933d9a8269ac2cbe7d0d36001baa5f95a0a2becc7a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "shipping-and-launch", "type": "skill", "category": "software-development", "name": "shipping-and-launch", "version": "1.0.0", "description": "Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.", "tags": [ "Shipping", "Launch", "Release" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/shipping-and-launch", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/shipping-and-launch", "icon": null, "iconify": "lucide:ship", "checksum": "sha256:64afb54ad827d1ad99df325ab8edb1914dc8708427979fca8b37c397c8477a1f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "source-driven-development", "type": "skill", "category": "software-development", "name": "source-driven-development", "version": "1.0.0", "description": "Grounds every implementation decision in official documentation. Use when you want authoritative, source-cited code free from outdated patterns. Use when building with any framework or library where correctness matters.", "tags": [ "Methodology", "Source", "Development" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/source-driven-development", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/source-driven-development", "icon": null, "iconify": "lucide:folder-git-2", "checksum": "sha256:c91d6b20de9f0f34ae4a9b2712ac92e2dca196facb1c91500587f20c7af19e53", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "spec-driven-development", "type": "skill", "category": "software-development", "name": "spec-driven-development", "version": "1.0.0", "description": "Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea.", "tags": [ "Spec", "Methodology", "Development" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/spec-driven-development", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/spec-driven-development", "icon": null, "iconify": "lucide:clipboard-check", "checksum": "sha256:0ecfb4acaad18291aef9309f8fb8ce0e226ef1759f75a0452d23d839f69416f9", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "spike", "type": "skill", "category": "software-development", "name": "spike", "version": "1.0.0", "description": "Throwaway experiments to validate an idea before build.", "tags": [ "spike", "prototype", "experiment", "feasibility", "throwaway", "exploration", "research", "planning", "mvp", "proof-of-concept" ], "author": "LibreAgents (adapted from gsd-build/get-shit-done)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/spike", "icon": null, "iconify": null, "checksum": "sha256:ffcda530841e176e9caa0cd52bbb527e4471b7f3331e1ade70fcbf52875a158a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "subagent-driven-development", "type": "skill", "category": "software-development", "name": "subagent-driven-development", "version": "1.1.0", "description": "Execute plans via delegate_task subagents (2-stage review).", "tags": [ "delegation", "subagent", "implementation", "workflow", "parallel" ], "author": "LibreAgents (adapted from obra/superpowers)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/subagent-driven-development", "icon": null, "iconify": null, "checksum": "sha256:0b78deb8f8d317e4f76c0511c7569345142300728838d62f5eb2be621c2a8cae", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "systematic-debugging", "type": "skill", "category": "software-development", "name": "systematic-debugging", "version": "1.1.0", "description": "4-phase root cause debugging: understand bugs before fixing.", "tags": [ "debugging", "troubleshooting", "problem-solving", "root-cause", "investigation" ], "author": "LibreAgents (adapted from obra/superpowers)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/systematic-debugging", "icon": null, "iconify": null, "checksum": "sha256:697f53916a73e39644cc7b650d8ba121e04621157296d29f604c8f55b8ce7f63", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "tdd", "type": "skill", "category": "software-development", "name": "tdd", "version": "1.0.0", "description": "Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions \"red-green-refactor\", or wants integration tests.", "tags": [ "TDD", "Testing", "Red-Green-Refactor" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/tdd", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/tdd", "icon": null, "iconify": "lucide:test-tube-diagonal", "checksum": "sha256:c4b54e86d31cafaee62133f65816992a6609fff3796214350ab9a8bebd76afad", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "test-driven-development", "type": "skill", "category": "software-development", "name": "test-driven-development", "version": "1.1.0", "description": "TDD: enforce RED-GREEN-REFACTOR, tests before code.", "tags": [ "testing", "tdd", "development", "quality", "red-green-refactor" ], "author": "LibreAgents (adapted from obra/superpowers)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/test-driven-development", "icon": null, "iconify": null, "checksum": "sha256:d08b4f69da53906e0f1cc1210ca7c97183afe7a4c95f0d0437bfb0bc72d706ea", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "to-issues", "type": "skill", "category": "software-development", "name": "to-issues", "version": "1.0.0", "description": "Break a plan, spec, or PRD into independently-grabbable issues on the project issue tracker using tracer-bullet vertical slices.", "tags": [ "Issues", "Planning", "GitHub" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/to-issues", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/to-issues", "icon": null, "iconify": "lucide:list-checks", "checksum": "sha256:36d8817da1bbc17cfb441bafdc7d5559672904e601edbd108b73e73b2653b82d", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "to-prd", "type": "skill", "category": "software-development", "name": "to-prd", "version": "1.0.0", "description": "Turn the current conversation into a PRD and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.", "tags": [ "PRD", "Planning", "Spec" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/to-prd", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/to-prd", "icon": null, "iconify": "lucide:clipboard-list", "checksum": "sha256:e0a69441757744c4b2262e6f7d01b75c9092641374b799c5802399bf86578681", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "triage", "type": "skill", "category": "software-development", "name": "triage", "version": "1.0.0", "description": "Move issues and external PRs through a state machine of triage roles — categorise, verify, grill if needed, and write agent-ready briefs.", "tags": [ "Triage", "Issues", "PRs" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/engineering/triage", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/triage", "icon": null, "iconify": "lucide:list-filter", "checksum": "sha256:17dd04f1c6cf2b75b0b1bc8061e19dd722745e1fe9eca884b690ea59d6405f8f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "using-agent-skills", "type": "skill", "category": "software-development", "name": "using-agent-skills", "version": "1.0.0", "description": "Discovers and invokes agent skills. Use when starting a session or when you need to discover which skill applies to the current task. This is the meta-skill that governs how all other skills are discovered and invoked.", "tags": [ "Skills", "Agents", "Meta" ], "author": "addyosmani", "license": "MIT", "source": "https://github.com/addyosmani/agent-skills/tree/main/skills/using-agent-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/using-agent-skills", "icon": null, "iconify": "lucide:puzzle", "checksum": "sha256:24b6f814ea5f251e69aee9d1ef456f69f9838d66bae442e95632a9970df83d93", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "using-git-worktrees", "type": "skill", "category": "software-development", "name": "using-git-worktrees", "version": "1.0.0", "description": "Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback", "tags": [ "Git", "Worktrees" ], "author": "obra", "license": "MIT", "source": "https://github.com/obra/superpowers/tree/main/skills/using-git-worktrees", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/using-git-worktrees", "icon": null, "iconify": "lucide:git-fork", "checksum": "sha256:747166ef6882203e45cc1ea95e0fc3d2d30a597fbd87b57d55528be23bee065f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "using-superpowers", "type": "skill", "category": "software-development", "name": "using-superpowers", "version": "1.0.0", "description": "Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions", "tags": [ "Superpowers", "Skills", "Meta" ], "author": "obra", "license": "MIT", "source": "https://github.com/obra/superpowers/tree/main/skills/using-superpowers", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/using-superpowers", "icon": null, "iconify": "lucide:zap", "checksum": "sha256:3989d398bfb96d1aafea248d97857232779518e98f55dbe5365addc9d921fb52", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "verification-before-completion", "type": "skill", "category": "software-development", "name": "verification-before-completion", "version": "1.0.0", "description": "Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always", "tags": [ "Verification", "QA", "Completion" ], "author": "obra", "license": "MIT", "source": "https://github.com/obra/superpowers/tree/main/skills/verification-before-completion", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/verification-before-completion", "icon": null, "iconify": "lucide:badge-check", "checksum": "sha256:c89b63a84f5b48b6eda1fac9369e8168b5d95eb729cf18316d93c8e52b9e7207", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "winui-app", "type": "skill", "category": "software-development", "name": "winui-app", "version": "1.0.0", "description": "Bootstrap, develop, and design modern WinUI 3 desktop applications with C# and the Windows App SDK using official Microsoft guidance, WinUI Gallery patterns, Windows App SDK samples, and CommunityToolkit components. Use when creating a brand new app, preparing a machine for WinUI, reviewing, refactoring, planning, troubleshooting, environment-checking, or setting up WinUI 3 XAML, controls, navigation, windowing, theming, accessibility, responsiveness, performance, deployment, or related Windows app design and development work.", "tags": [ "WinUI", "Windows", "Desktop" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/winui-app", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/winui-app", "icon": null, "iconify": "lucide:app-window", "checksum": "sha256:e6e164b108590bc33a907d78bfef11614fa30970ded0a96bd3ad859fa40d99c9", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "writing-great-skills", "type": "skill", "category": "software-development", "name": "writing-great-skills", "version": "1.0.0", "description": "Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.", "tags": [ "Skills", "Authoring", "Best Practices" ], "author": "mattpocock", "license": "MIT", "source": "https://github.com/mattpocock/skills/tree/main/skills/productivity/writing-great-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/writing-great-skills", "icon": null, "iconify": "lucide:book-open", "checksum": "sha256:3209eab8dec64cd38ba7cc4f52fc1197dfd2f0f4dbe9bc0a0600d36a33fdce82", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "writing-plans", "type": "skill", "category": "software-development", "name": "writing-plans", "version": "1.1.0", "description": "Write implementation plans: bite-sized tasks, paths, code.", "tags": [ "planning", "design", "implementation", "workflow", "documentation" ], "author": "LibreAgents (adapted from obra/superpowers)", "license": "MIT", "source": null, "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/writing-plans", "icon": null, "iconify": null, "checksum": "sha256:dc68fc42934bf5f9db07b8fbfb044758513e52588382917c6388da2a8d3a4d8d", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "writing-skills", "type": "skill", "category": "software-development", "name": "writing-skills", "version": "1.0.0", "description": "Use when creating new skills, editing existing skills, or verifying skills work before deployment", "tags": [ "Skills", "Authoring", "Writing" ], "author": "obra", "license": "MIT", "source": "https://github.com/obra/superpowers/tree/main/skills/writing-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/writing-skills", "icon": null, "iconify": "lucide:file-code", "checksum": "sha256:aa6278301648567d10f98a99ecf4501ddedeaa560849c75091db70aac16056fb", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "yeet", "type": "skill", "category": "software-development", "name": "yeet", "version": "1.0.0", "description": "Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).", "tags": [ "Git", "Ship", "Commit" ], "author": "openai", "license": "Apache-2.0", "source": "https://github.com/openai/skills/tree/main/skills/.curated/yeet", "platforms": [ "linux", "macos", "windows" ], "path": "skills/software-development/yeet", "icon": null, "iconify": "lucide:rocket", "checksum": "sha256:77214312e2a1b938e5f78ae1aa97d62b719920d0ecc693f1bfb2adb701fa70b5", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "backtest-expert", "type": "skill", "category": "trading", "name": "backtest-expert", "version": "1.0.0", "description": "Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers \"beating ideas to death\" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.", "tags": [ "backtesting", "strategy", "edge", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/strategy/backtest-expert", "icon": null, "iconify": null, "checksum": "sha256:915c6812d2884e837b2157cc82fb3ae5faaac99e28068f44607f35b38833f73b", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "breadth-chart-analyst", "type": "skill", "category": "trading", "name": "breadth-chart-analyst", "version": "1.0.0", "description": "This skill should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio charts. Use this skill when the user provides breadth chart images for analysis, requests market breadth assessment, positioning strategy recommendations, or wants to understand medium-term strategic and short-term tactical market outlook based on breadth indicators. Also works WITHOUT chart images by fetching CSV data directly from public sources. All analysis and output are conducted in English.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/breadth-chart-analyst", "icon": null, "iconify": null, "checksum": "sha256:0b51a4c25d27bb970f4d6298e9e27a84c104bcfe69ffe86c2a8793596724e1fb", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "breakout-trade-planner", "type": "skill", "category": "trading", "name": "breakout-trade-planner", "version": "1.0.0", "description": "Generate Minervini-style breakout trade plans from VCP screener output with worst-case risk calculation, portfolio heat management, and Alpaca-compatible order templates (stop-limit bracket for pre-placement, limit bracket for post-confirmation). Use when user has VCP screener results and wants actionable trade plans with entry/stop/target levels and position sizing.", "tags": [ "trade-planning", "execution", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/trade-planning/breakout-trade-planner", "icon": null, "iconify": null, "checksum": "sha256:4c12260b5aa0370b935f425f976291c67506f89532de05596de3691ba6f5c191", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "canslim-screener", "type": "skill", "category": "trading", "name": "canslim-screener", "version": "1.0.0", "description": "Screen US stocks using William O'Neil's CANSLIM growth stock methodology. Use when user requests CANSLIM stock screening, growth stock analysis, momentum stock identification, or wants to find stocks with strong earnings and price momentum following O'Neil's investment system.", "tags": [ "screener", "stock-screening", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/screeners/canslim-screener", "icon": null, "iconify": null, "checksum": "sha256:c6a8bb05e3b4a215cfb799e7ca595f2479d615f5dc44ac1f11438ea65b1a39d4", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "data-quality-checker", "type": "skill", "category": "trading", "name": "data-quality-checker", "version": "1.0.0", "description": "Validate data quality in market analysis documents and blog articles before publication. Use when checking for price scale inconsistencies (ETF vs futures), instrument notation errors, date/day-of-week mismatches, allocation total errors, and unit mismatches. Supports English and Japanese content. Advisory mode -- flags issues as warnings for human review, not as blockers.", "tags": [ "calendar", "earnings", "data", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/data/data-quality-checker", "icon": null, "iconify": null, "checksum": "sha256:d6b32f50b376cb810f0ad41c02319a45ac12073313ab769091da103fb92165f6", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "dividend-growth-pullback-screener", "type": "skill", "category": "trading", "name": "dividend-growth-pullback-screener", "version": "1.0.0", "description": "Use this skill to find high-quality dividend growth stocks (12%+ annual dividend growth, 1.5%+ yield) that are experiencing temporary pullbacks, identified by RSI oversold conditions (RSI ≤40). This skill combines fundamental dividend analysis with technical timing indicators to identify buying opportunities in strong dividend growers during short-term weakness.", "tags": [ "screener", "stock-screening", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/screeners/dividend-growth-pullback-screener", "icon": null, "iconify": null, "checksum": "sha256:80576525428cc4925c73fff05700dcf4eb19b47c888b5e4a181eab303b8ced98", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "downtrend-duration-analyzer", "type": "skill", "category": "trading", "name": "downtrend-duration-analyzer", "version": "1.0.0", "description": "Analyze historical downtrend durations and generate interactive HTML histograms showing typical correction lengths by sector and market cap.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/downtrend-duration-analyzer", "icon": null, "iconify": null, "checksum": "sha256:95c93984d9c6d8e46345b0f12905b042e1e3748616dd3d37b9f4f2b784605f2e", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "dual-axis-skill-reviewer", "type": "skill", "category": "trading", "name": "dual-axis-skill-reviewer", "version": "1.0.0", "description": "Review skills in any project using a dual-axis method: (1) deterministic code-based checks (structure, scripts, tests, execution safety) and (2) LLM deep review findings. Use when you need reproducible quality scoring for `skills/*/SKILL.md`, want to gate merges with a score threshold (for example 90+), or need concrete improvement items for low-scoring skills. Works across projects via --project-root.", "tags": [ "skill-tooling", "review", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/meta/dual-axis-skill-reviewer", "icon": null, "iconify": null, "checksum": "sha256:5d5a08a6d19b088d4b01217c0edde7b4049d2940904356a5745766c6599efb5f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "earnings-calendar", "type": "skill", "category": "trading", "name": "earnings-calendar", "version": "1.0.0", "description": "This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.", "tags": [ "calendar", "earnings", "data", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/data/earnings-calendar", "icon": null, "iconify": null, "checksum": "sha256:6497e7e7158f1a8dbb046a38826a6d430435620a964f14af36f572a163e17b5b", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "earnings-trade-analyzer", "type": "skill", "category": "trading", "name": "earnings-trade-analyzer", "version": "1.0.0", "description": "Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best recent earnings reactions.", "tags": [ "trade-planning", "execution", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/trade-planning/earnings-trade-analyzer", "icon": null, "iconify": null, "checksum": "sha256:49f46f5cff55758a0855901106f90c125a6f3e74959545370c0e34d91cdfefd8", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "economic-calendar-fetcher", "type": "skill", "category": "trading", "name": "economic-calendar-fetcher", "version": "1.0.0", "description": "Fetch upcoming economic events and data releases using FMP API. Retrieve scheduled central bank decisions, employment reports, inflation data, GDP releases, and other market-moving economic indicators for specified date ranges (default: next 7 days). The script outputs raw JSON or text; the assistant filters, assesses impact, and generates the Markdown report.", "tags": [ "calendar", "earnings", "data", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/data/economic-calendar-fetcher", "icon": null, "iconify": null, "checksum": "sha256:35dc6e2782c5d0c64b6894d08f1ef98dbd3ffa7f72242d35b5641862d8fac2a2", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "edge-candidate-agent", "type": "skill", "category": "trading", "name": "edge-candidate-agent", "version": "1.0.0", "description": "Generate and prioritize US equity long-side edge research tickets from EOD observations, then export pipeline-ready candidate specs for trade-strategy-pipeline Phase I. Use when users ask to turn hypotheses/anomalies into reproducible research tickets, convert validated ideas into `strategy.yaml` + `metadata.json`, or preflight-check interface compatibility (`edge-finder-candidate/v1`) before running pipeline backtests.", "tags": [ "backtesting", "strategy", "edge", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/strategy/edge-candidate-agent", "icon": null, "iconify": null, "checksum": "sha256:eb9cb8823646e80e82fcdd67c1393e8124fbe3b579f53f5701a554c04a20a551", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "edge-concept-synthesizer", "type": "skill", "category": "trading", "name": "edge-concept-synthesizer", "version": "1.0.0", "description": "Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.", "tags": [ "backtesting", "strategy", "edge", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/strategy/edge-concept-synthesizer", "icon": null, "iconify": null, "checksum": "sha256:3b916f8383fd205b9d210a5d24c004253737b370bf4a9189201616c3b28cd7f1", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "edge-hint-extractor", "type": "skill", "category": "trading", "name": "edge-hint-extractor", "version": "1.0.0", "description": "Extract edge hints from daily market observations and news reactions, with optional LLM ideation, and output canonical hints.yaml for downstream concept synthesis and auto detection.", "tags": [ "backtesting", "strategy", "edge", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/strategy/edge-hint-extractor", "icon": null, "iconify": null, "checksum": "sha256:b4f29e761b0175f170f65e0e607d85492825cf3fd7b7e29fb76440b81496ad3b", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "edge-pipeline-orchestrator", "type": "skill", "category": "trading", "name": "edge-pipeline-orchestrator", "version": "1.0.0", "description": "Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.", "tags": [ "backtesting", "strategy", "edge", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/strategy/edge-pipeline-orchestrator", "icon": null, "iconify": null, "checksum": "sha256:640a4a91a1d707cf5d2641f8b766b8ac90b396ae8b1074f2e46909da14038e63", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "edge-signal-aggregator", "type": "skill", "category": "trading", "name": "edge-signal-aggregator", "version": "1.0.0", "description": "Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.", "tags": [ "backtesting", "strategy", "edge", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/strategy/edge-signal-aggregator", "icon": null, "iconify": null, "checksum": "sha256:e235a64d7fc45530fed3eb00301142a6988b7fbaf4c7f9b765250a647fe6064b", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "edge-strategy-designer", "type": "skill", "category": "trading", "name": "edge-strategy-designer", "version": "1.0.0", "description": "Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.", "tags": [ "backtesting", "strategy", "edge", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/strategy/edge-strategy-designer", "icon": null, "iconify": null, "checksum": "sha256:2b453128debc8d2f487eb5526b6d6dde566c23bcf44768295eab53b717fc91dd", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "edge-strategy-reviewer", "type": "skill", "category": "trading", "name": "edge-strategy-reviewer", "version": "1.0.0", "description": "Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Use when strategy_drafts/*.yaml exists and needs quality gate before pipeline export. Outputs PASS/REVISE/REJECT verdicts with confidence scores.", "tags": [ "backtesting", "strategy", "edge", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/strategy/edge-strategy-reviewer", "icon": null, "iconify": null, "checksum": "sha256:41fa0a63b905a27247c68494f59249f9e4a8d7813322be76620954aaefd6ee2f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "exposure-coach", "type": "skill", "category": "trading", "name": "exposure-coach", "version": "1.0.0", "description": "Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-priority recommendation by integrating signals from breadth, regime, and flow analysis skills.", "tags": [ "portfolio", "risk", "position-sizing", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/portfolio/exposure-coach", "icon": null, "iconify": null, "checksum": "sha256:9853178aa367e087195f7b91984f7f7347c2f1066d645826ec0898510038250a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "finviz-screener", "type": "skill", "category": "trading", "name": "finviz-screener", "version": "1.0.0", "description": "Build and open FinViz screener URLs from natural language requests. Use when user wants to screen stocks, find stocks matching criteria, filter by fundamentals or technicals, or asks to open FinViz with specific conditions. Supports both Japanese and English input (e.g., \"高配当で成長している小型株を探したい\", \"Find oversold large caps with high ROE\").", "tags": [ "screener", "stock-screening", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/screeners/finviz-screener", "icon": null, "iconify": null, "checksum": "sha256:3face3002991c74cffee64fbe6a7d695b1276cf26048d4b727861b2c3a5ed3fc", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "ftd-detector", "type": "skill", "category": "trading", "name": "ftd-detector", "version": "1.0.0", "description": "Detects Follow-Through Day (FTD) signals for market bottom confirmation using William O'Neil's methodology. Dual-index tracking (S&P 500 + NASDAQ) with state machine for rally attempt, FTD qualification, and post-FTD health monitoring. Use when user asks about market bottom signals, follow-through days, rally attempts, re-entry timing after corrections, or whether it's safe to increase equity exposure. Complementary to market-top-detector (defensive) - this skill is offensive (bottom confirmation).", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/ftd-detector", "icon": null, "iconify": null, "checksum": "sha256:a5ec88c17accdf42d241aea99ea10a8040bbb19b4b8763ca04cedd592328804a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "ibd-distribution-day-monitor", "type": "skill", "category": "trading", "name": "ibd-distribution-day-monitor", "version": "1.0.0", "description": "Detect IBD-style Distribution Days for QQQ/SPY (close down at least 0.2% on higher volume), track 25-session expiration and 5% invalidation, count d5/d15/d25 clusters, classify market risk (NORMAL/CAUTION/HIGH/SEVERE), and emit TQQQ/QQQ exposure recommendations. Use after market close, before TQQQ exposure changes, or as input to FTD/market-state frameworks. Does not execute trades.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/ibd-distribution-day-monitor", "icon": null, "iconify": null, "checksum": "sha256:222e8079a88e1d0c4e320c1e7cf295e4acbca5cfb79c2030e8b9086545517f0d", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "institutional-flow-tracker", "type": "skill", "category": "trading", "name": "institutional-flow-tracker", "version": "1.0.0", "description": "Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and other institutional holders to identify stocks with significant smart money accumulation or distribution. Helps discover stocks before major moves by following where sophisticated investors are deploying capital.", "tags": [ "calendar", "earnings", "data", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/data/institutional-flow-tracker", "icon": null, "iconify": null, "checksum": "sha256:bb2722570a1c301d540ca18124fd96896fe1c711500ed6715f9fad75cae2ea80", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "kanchi-dividend-review-monitor", "type": "skill", "category": "trading", "name": "kanchi-dividend-review-monitor", "version": "1.0.0", "description": "Monitor dividend portfolios with Kanchi-style forced-review triggers (T1-T5) and convert anomalies into OK/WARN/REVIEW states without auto-selling. Use when users ask for 減配検知, 8-Kガバナンス監視, 配当安全性モニタリング, REVIEWキュー自動化, or periodic dividend risk checks.", "tags": [ "dividend", "kanchi", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/kanchi/kanchi-dividend-review-monitor", "icon": null, "iconify": null, "checksum": "sha256:38129c184dd4384eea73f27b292f08577607d20a42be910593ddf0c31c027682", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "kanchi-dividend-sop", "type": "skill", "category": "trading", "name": "kanchi-dividend-sop", "version": "1.0.0", "description": "Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth quality checks, PERxPBR adaptation for US sectors, pullback limit-order planning, or one-page stock memo creation. Covers screening, deep dive, entry planning, and post-purchase monitoring cadence.", "tags": [ "dividend", "kanchi", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/kanchi/kanchi-dividend-sop", "icon": null, "iconify": null, "checksum": "sha256:a6d71ae4028eb0b37331cce2bec42bfc5dc56dab5dd54e0b739f465bea3def14", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "kanchi-dividend-us-tax-accounting", "type": "skill", "category": "trading", "name": "kanchi-dividend-us-tax-accounting", "version": "1.0.0", "description": "Provide US dividend tax and account-location workflow for Kanchi-style income portfolios. Use when users ask about qualified vs ordinary dividends, 1099-DIV interpretation, REIT/BDC distribution treatment, holding-period checks, or taxable-vs-IRA account placement decisions for dividend assets.", "tags": [ "dividend", "kanchi", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/kanchi/kanchi-dividend-us-tax-accounting", "icon": null, "iconify": null, "checksum": "sha256:b25717c03322201d0e0d2c9ce0d953605df30958d6fe58a0219437cf6a7b8aad", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "macro-regime-detector", "type": "skill", "category": "trading", "name": "macro-regime-detector", "version": "1.0.0", "description": "Detect structural macro regime transitions (1-2 year horizon) using cross-asset ratio analysis. Analyze RSP/SPY concentration, yield curve, credit conditions, size factor, equity-bond relationship, and sector rotation to identify regime shifts between Concentration, Broadening, Contraction, Inflationary, and Transitional states. Run when user asks about macro regime, market regime change, structural rotation, or long-term market positioning.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/macro-regime-detector", "icon": null, "iconify": null, "checksum": "sha256:7fea9807088e3fa3f285c94c7918b64b887c6a00a740e81dcf3ce4fc4647eaca", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "market-breadth-analyzer", "type": "skill", "category": "trading", "name": "market-breadth-analyzer", "version": "1.0.0", "description": "Quantifies market breadth health using TraderMonty's public CSV data. Generates a 0-100 composite score across 6 components (100 = healthy). No API key required. Use when user asks about market breadth, participation rate, advance-decline health, whether the rally is broad-based, or general market health assessment.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/market-breadth-analyzer", "icon": null, "iconify": null, "checksum": "sha256:5587ad1d0d3bf1d19d686bdbf0fc72b140c199a4b774c6dbcba4154d092dfe37", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "market-environment-analysis", "type": "skill", "category": "trading", "name": "market-environment-analysis", "version": "1.0.0", "description": "Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/market-environment-analysis", "icon": null, "iconify": null, "checksum": "sha256:5dbaa002ac9d6da1c27fc08565af11bce2f7129b255c1d7c4960c434eb6f7c9f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "market-news-analyst", "type": "skill", "category": "trading", "name": "market-news-analyst", "version": "1.0.0", "description": "This skill should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebSearch/WebFetch tools and produces impact-ranked analysis reports. All analysis thinking and output are conducted in English.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/market-news-analyst", "icon": null, "iconify": null, "checksum": "sha256:633bba55c42353afc936e2ca834aaff564c5d7ee529e0426fb5951bf9d81e98a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "market-top-detector", "type": "skill", "category": "trading", "name": "market-top-detector", "version": "1.0.0", "description": "Detects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation. Generates a 0-100 composite score with risk zone classification. Use when user asks about market top risk, distribution days, defensive rotation, leadership breakdown, or whether to reduce equity exposure. Focuses on 2-8 week tactical timing signals for 10-20% corrections.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/market-top-detector", "icon": null, "iconify": null, "checksum": "sha256:34d5f35fcda0b396ca706627146049df4ed7105b4a8d0352e6965465bc9c19fe", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "options-strategy-advisor", "type": "skill", "category": "trading", "name": "options-strategy-advisor", "version": "1.0.0", "description": "Options trading strategy analysis and simulation tool. Provides theoretical pricing using Black-Scholes model, Greeks calculation, strategy P/L simulation, and risk management guidance. Use when user requests options strategy analysis, covered calls, protective puts, spreads, iron condors, earnings plays, or options risk management. Includes volatility analysis, position sizing, and earnings-based strategy recommendations. Educational focus with practical trade simulation.", "tags": [ "trade-planning", "execution", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/trade-planning/options-strategy-advisor", "icon": null, "iconify": null, "checksum": "sha256:240c4cc79b267f405d5eb7af58e027025e318d300eb88b0f5c331e2e108fe8ea", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "pair-trade-screener", "type": "skill", "category": "trading", "name": "pair-trade-screener", "version": "1.0.0", "description": "Statistical arbitrage tool for identifying and analyzing pair trading opportunities. Detects cointegrated stock pairs within sectors, analyzes spread behavior, calculates z-scores, and provides entry/exit recommendations for market-neutral strategies. Use when user requests pair trading opportunities, statistical arbitrage screening, mean-reversion strategies, or market-neutral portfolio construction. Supports correlation analysis, cointegration testing, and spread backtesting.", "tags": [ "screener", "stock-screening", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/screeners/pair-trade-screener", "icon": null, "iconify": null, "checksum": "sha256:3e37633d51880af99053b05277be1df35c9af7dc1518d2ab64215db6bebd4885", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "parabolic-short-trade-planner", "type": "skill", "category": "trading", "name": "parabolic-short-trade-planner", "version": "1.0.0", "description": "Screen US equities for parabolic exhaustion patterns and generate conditional pre-market short plans, then evaluate intraday trigger fires from live 5-min bars. Phase 1 daily 5-factor scorer (MA extension / acceleration / volume climax / range expansion / liquidity), Phase 2 per-candidate plans for ORL break / first-red 5-min / VWAP fail with explicit borrow / SSR / manual-confirmation gating, Phase 3 one-shot intraday FSM that detects trigger fires and resolves concrete share counts. Covers Phase 1 + Phase 2 + Phase 3.", "tags": [ "trade-planning", "execution", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/trade-planning/parabolic-short-trade-planner", "icon": null, "iconify": null, "checksum": "sha256:b189f543895818a7375ab204af060db88f32d8771eb51e27b1547462b687c181", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "pead-screener", "type": "skill", "category": "trading", "name": "pead-screener", "version": "1.0.0", "description": "Screen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns. Analyzes weekly candle formation to detect red candle pullbacks and breakout signals. Supports two input modes - FMP earnings calendar (Mode A) or earnings-trade-analyzer JSON output (Mode B). Use when user asks about PEAD screening, post-earnings drift, earnings gap follow-through, red candle breakout patterns, or weekly earnings momentum setups.", "tags": [ "screener", "stock-screening", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/screeners/pead-screener", "icon": null, "iconify": null, "checksum": "sha256:3b7b4254f49d30db748ab11613903219ad47a37769cb4edce6f0250e48f29645", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "portfolio-manager", "type": "skill", "category": "trading", "name": "portfolio-manager", "version": "1.0.0", "description": "Comprehensive portfolio analysis using Alpaca MCP Server integration to fetch holdings and positions, then analyze asset allocation, risk metrics, individual stock positions, diversification, and generate rebalancing recommendations. Use when user requests portfolio review, position analysis, risk assessment, performance evaluation, or rebalancing suggestions for their brokerage account.", "tags": [ "portfolio", "risk", "position-sizing", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/portfolio/portfolio-manager", "icon": null, "iconify": null, "checksum": "sha256:b137d93b50e2c7b44750eb36e64a0bf36e34cd02f856a897ed10be2565cf1704", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "position-sizer", "type": "skill", "category": "trading", "name": "position-sizer", "version": "1.0.0", "description": "Calculate risk-based position sizes for long stock trades. Use when user asks about position sizing, how many shares to buy, risk per trade, Kelly criterion, ATR-based sizing, or portfolio risk allocation. Supports stop-loss distance calculation, volatility scaling, and sector concentration checks.", "tags": [ "portfolio", "risk", "position-sizing", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/portfolio/position-sizer", "icon": null, "iconify": null, "checksum": "sha256:d825a9218499134421c8853c2572b0df2239eaa36bcf76838b26cb0009ce6b5a", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "scenario-analyzer", "type": "skill", "category": "trading", "name": "scenario-analyzer", "version": "1.0.0", "description": "Skill that analyzes 18-month scenarios from a news headline.\nRuns the primary analysis with the scenario-analyst agent and obtains a\nsecond opinion with the strategy-reviewer agent.\nGenerates a comprehensive English report covering 1st/2nd/3rd-order\nimpacts, recommended stocks, and a critical review.\nExample: /scenario-analyzer \"Fed raises rates by 50bp\"\nTriggers: news analysis, scenario analysis, 18-month outlook,\nmedium-to-long-term investment strategy", "tags": [ "trade-planning", "execution", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/trade-planning/scenario-analyzer", "icon": null, "iconify": null, "checksum": "sha256:49402f9337fe3aa26c5813ddfe15920cf9381776cdbadeb3bd4be8f52776579b", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "sector-analyst", "type": "skill", "category": "trading", "name": "sector-analyst", "version": "1.0.0", "description": "This skill should be used when analyzing sector rotation patterns and market cycle positioning. It fetches sector uptrend data from CSV (no API key required) and optionally accepts chart images for supplementary analysis. Use this skill when the user requests sector rotation analysis, cyclical vs defensive assessment, overbought/oversold identification, or market cycle phase estimation. All analysis and output are conducted in English.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/sector-analyst", "icon": null, "iconify": null, "checksum": "sha256:ff776eefa7107d094e5a18a6dd42ff7961f73455fd7a94f47349bd7fda67c0db", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "signal-postmortem", "type": "skill", "category": "trading", "name": "signal-postmortem", "version": "1.0.0", "description": "Record and analyze post-trade outcomes for signals generated by edge pipeline and other skills. Track false positives, missed opportunities, and regime mismatches. Feed results back to edge-signal-aggregator weights and skill improvement backlog.", "tags": [ "performance", "postmortem", "memory", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/performance/signal-postmortem", "icon": null, "iconify": null, "checksum": "sha256:b5e7b7b52162f0a22f26090bb71561ce600997737877dac8a96ec2dc0af86330", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "skill-designer", "type": "skill", "category": "trading", "name": "skill-designer", "version": "1.0.0", "description": "Design new Claude skills from structured idea specifications. Use when the skill auto-generation pipeline needs to produce a Claude CLI prompt that creates a complete skill directory (SKILL.md, references, scripts, tests) following repository conventions.", "tags": [ "skill-tooling", "review", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/meta/skill-designer", "icon": null, "iconify": null, "checksum": "sha256:23edec964e22886bb5d8ae9c551e56eab352f50108154ac7bb4ad057ac7acc73", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "skill-idea-miner", "type": "skill", "category": "trading", "name": "skill-idea-miner", "version": "1.0.0", "description": "Mine Claude Code session logs for skill idea candidates. Use when running the weekly skill generation pipeline to extract, score, and backlog new skill ideas from recent coding sessions.", "tags": [ "skill-tooling", "review", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/meta/skill-idea-miner", "icon": null, "iconify": null, "checksum": "sha256:7f3bb0c8676b9af7cc97d20668fba94067495a0c3e6d598274416782092e23d9", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "skill-integration-tester", "type": "skill", "category": "trading", "name": "skill-integration-tester", "version": "1.0.0", "description": "Validate multi-skill workflows defined in CLAUDE.md by checking skill existence, inter-skill data contracts (JSON schema compatibility), file naming conventions, and handoff integrity. Use when adding new workflows, modifying skill outputs, or verifying pipeline health before release.", "tags": [ "skill-tooling", "review", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/meta/skill-integration-tester", "icon": null, "iconify": null, "checksum": "sha256:b541a46bb765daec6d8269325bfe159c97c3581dba6d56784d7ef3aa335c188c", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "stanley-druckenmiller-investment", "type": "skill", "category": "trading", "name": "stanley-druckenmiller-investment", "version": "1.0.0", "description": "Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener) into a unified conviction score (0-100), pattern classification, and allocation recommendation. Use when user asks about overall market conviction, portfolio positioning, asset allocation, strategy synthesis, or Druckenmiller-style analysis. Triggers on queries like \"What is my conviction level?\", \"How should I position?\", \"Run the strategy synthesizer\", \"Druckenmiller analysis\", \"総合的な市場判断\", \"確信度スコア\", \"ポートフォリオ配分\", \"ドラッケンミラー分析\".", "tags": [ "investor", "investment", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/investor/stanley-druckenmiller-investment", "icon": null, "iconify": null, "checksum": "sha256:0ce2c0d07e4d3be2f2a1fbe1d34749487490588bca18fb88a66d9e96a94987b9", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "strategy-pivot-designer", "type": "skill", "category": "trading", "name": "strategy-pivot-designer", "version": "1.0.0", "description": "Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.", "tags": [ "backtesting", "strategy", "edge", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/strategy/strategy-pivot-designer", "icon": null, "iconify": null, "checksum": "sha256:36db40507167e7190705431a7f88bf9cc0a4336390d3b4fb63eae35bac7c0dd7", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "technical-analyst", "type": "skill", "category": "trading", "name": "technical-analyst", "version": "1.0.0", "description": "This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.", "tags": [ "trade-planning", "execution", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/trade-planning/technical-analyst", "icon": null, "iconify": null, "checksum": "sha256:f6b67eebba3a1122a539523fd6fdcbd726e7831d3d0783c34354ffad2428f1e7", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "theme-detector", "type": "skill", "category": "trading", "name": "theme-detector", "version": "1.0.0", "description": "Detect and analyze trending market themes across sectors. Use when user asks about current market themes, trending sectors, sector rotation, thematic investing, what themes are hot or cold, or wants to identify bullish and bearish market narratives with lifecycle analysis.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/theme-detector", "icon": null, "iconify": null, "checksum": "sha256:e4c8cde35371ac002cfe39a12a28aacd146f5830cb1550b69d1c301791bd5568", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "trade-hypothesis-ideator", "type": "skill", "category": "trading", "name": "trade-hypothesis-ideator", "version": "1.0.0", "description": "Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. Use when you have a structured input bundle and want ranked hypothesis cards with experiment designs, kill criteria, and optional strategy.yaml export compatible with edge-finder-candidate/v1.", "tags": [ "backtesting", "strategy", "edge", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/strategy/trade-hypothesis-ideator", "icon": null, "iconify": null, "checksum": "sha256:fd0502ab911ac7c908e75a9ff6da7dd64a086bdaae2cbdb0eb42cfbc5b925e53", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "trade-performance-coach", "type": "skill", "category": "trading", "name": "trade-performance-coach", "version": "1.0.0", "description": "Review closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns. Use after trader-memory-core and signal-postmortem have produced records, or when the user asks for a post-trade coach, risk-manager style review, rule-adherence review, next-session operating rules, or psychology-aware trading behavior feedback. This skill does not provide buy/sell advice, therapy, or broker execution.", "tags": [ "performance", "postmortem", "memory", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/performance/trade-performance-coach", "icon": null, "iconify": null, "checksum": "sha256:c54f238612270c0845d80d8aab41f7f8833d4f39277513845818ad5a2f5aa39f", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "trader-memory-core", "type": "skill", "category": "trading", "name": "trader-memory-core", "version": "1.0.0", "description": "Track investment theses across their lifecycle — from screening idea to closed position with postmortem. Register theses from screener outputs, manage state transitions, attach position sizing, review due dates, and generate postmortem reports with P&L and MAE/MFE analysis. Trigger when user says \"register thesis\", \"track this idea\", \"thesis status\", \"review due\", \"close position\", \"postmortem\", or \"trading journal\".", "tags": [ "performance", "postmortem", "memory", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/performance/trader-memory-core", "icon": null, "iconify": null, "checksum": "sha256:7f6c72d14d0f614828fde5819fea4d2676a3c8a3706fcf0b9f9f369869ae555e", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "trading-skills-navigator", "type": "skill", "category": "trading", "name": "trading-skills-navigator", "version": "1.0.0", "description": "Recommend the right trading workflow, skillset, API profile, and setup path from a natural-language goal. Use this as the on-ramp when a user expresses a trading or investing goal and needs to know which skill/workflow to use, where to start, or whether something works without paid API keys — e.g. \"where do I start\", \"which skill should I use\", \"I want to swing trade only when the market is favorable\", \"what works without API keys\", \"どれを使えばいい\", \"API キー無しで 使えるものは\". Routes and explains only; it never executes trades or auto-runs other skills, and it is honest when no workflow has shipped yet.", "tags": [ "skill-tooling", "review", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/meta/trading-skills-navigator", "icon": null, "iconify": null, "checksum": "sha256:367b6241c005994791497d384d5f6c2be527679347e3e397d5516a6659cf84f1", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "uptrend-analyzer", "type": "skill", "category": "trading", "name": "uptrend-analyzer", "version": "1.0.0", "description": "Analyzes market breadth using Monty's Uptrend Ratio Dashboard data to diagnose the current market environment. Generates a 0-100 composite score from 5 components (breadth, sector participation, rotation, momentum, historical context). Use when asking about market breadth, uptrend ratios, or whether the market environment supports equity exposure. No API key required.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/uptrend-analyzer", "icon": null, "iconify": null, "checksum": "sha256:6521cc176ce136b7782bd5b47f1b795b523402508cb360110e523edfcdb8fedf", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "us-market-bubble-detector", "type": "skill", "category": "trading", "name": "us-market-bubble-detector", "version": "1.0.0", "description": "Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/us-market-bubble-detector", "icon": null, "iconify": null, "checksum": "sha256:19fd0157cfeb69da406eed42bc3af61e65563faeb8502c743af85576b15b738e", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "us-stock-analysis", "type": "skill", "category": "trading", "name": "us-stock-analysis", "version": "1.0.0", "description": "Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., \"analyze AAPL\", \"compare TSLA vs NVDA\", \"give me a report on Microsoft\"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.", "tags": [ "market-analysis", "breadth", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/market-analysis/us-stock-analysis", "icon": null, "iconify": null, "checksum": "sha256:bd7b68d90a2deaeaa478131a5e5f451af12ef0857ca12c9d7cfe0d438fcb2a4e", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "value-dividend-screener", "type": "skill", "category": "trading", "name": "value-dividend-screener", "version": "1.0.0", "description": "Screen US stocks for high-quality dividend opportunities combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher), and consistent growth (dividend/revenue/EPS trending up over 3 years). Supports two-stage screening using FINVIZ Elite API for efficient pre-filtering followed by FMP API for detailed analysis. Use when user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals.", "tags": [ "screener", "stock-screening", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/screeners/value-dividend-screener", "icon": null, "iconify": null, "checksum": "sha256:11b2a96883c593538cbbb187e3b0f23c941872264c92008ac86ab5e2cc1ea43b", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "vcp-screener", "type": "skill", "category": "trading", "name": "vcp-screener", "version": "1.0.0", "description": "Screen S&P 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP) and detect historical VCPs in a single ticker's price path. Identifies Stage 2 uptrend stocks forming tight bases with contracting volatility near breakout pivot points; in historical single-ticker mode walks a multi-year history and emits every VCP that formed with forward-outcome stats (breakout / stop-hit / timeout). Use when user requests VCP screening, Minervini-style setups, tight base patterns, volatility contraction breakout candidates, Stage 2 momentum stock scanning, or historical VCP pattern study on a specific ticker (e.g. FIX, TSLA).", "tags": [ "screener", "stock-screening", "trading" ], "author": "TraderMonty", "license": "MIT", "source": "https://github.com/tradermonty/claude-trading-skills", "platforms": [ "linux", "macos", "windows" ], "path": "skills/trading/screeners/vcp-screener", "icon": null, "iconify": null, "checksum": "sha256:3013f51867cf5a5f0e54679782676126630cb3debe2f6e4378b7af7a46a5cd13", "compatibility": null, "runtimeMode": "standalone", "acceptsFunding": false }, { "id": "bug-fix", "type": "workflow", "category": null, "name": "Bug Fix", "version": "1.0.0", "description": "Reproduce a reported bug, fix it, and add a regression test.", "tags": [ "debugging", "testing" ], "author": "LibreAgents Registry", "license": "MIT", "source": null, "path": "workflows/bug-fix", 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