{ "version": "2.0.0", "generated": "2026-07-30", "skill_count": 209, "taxonomy": { "web": { "subcategories": [ "frontend", "backend", "design", "api", "auth", "data", "testing", "accessibility", "performance", "graphics", "capture" ] }, "infrastructure": { "subcategories": [ "deployment", "environment", "observability", "security", "cloud-data", "automation", "tooling" ] }, "game": { "subcategories": [ "client", "web", "server", "design-ui", "audio", "animation", "motion-vfx", "sprite-image", "art-resources", "storytelling", "tooling", "qa-performance", "release" ] }, "creative-media": { "subcategories": [ "image", "video", "motion", "audio", "presentation", "diagram", "design", "capture", "storytelling" ] }, "cli-tools": { "subcategories": [ "developer-cli", "ai-cli", "media-cli", "automation-cli", "search-cli", "benchmark-cli" ] }, "ai-agents": { "subcategories": [ "orchestration", "agent-frameworks", "skill-authoring", "evaluation", "memory", "planning-review", "discovery", "prompting" ] }, "engineering": { "subcategories": [ "code-quality", "testing", "architecture", "documentation", "code-navigation" ] }, "research": { "subcategories": [ "academic", "web-research", "data-analysis", "experimentation", "benchmarking", "intelligence" ] }, "business": { "subcategories": [ "marketing", "support", "publishing" ] }, "utilities": { "subcategories": [ "knowledge", "files", "git", "workspace", "project-management", "productivity", "general" ] } }, "categories": { "web": [ "ax", "react-best-practices", "react-bits", "state-management", "amrouter", "colibri", "pydantic-ai", "astryx", "build-daily-inspiration-sites", "daily-ui-inspiration-capture", "design-first-ui-prompting", "design-system", "devup-ui", "html-to-interaction-prompts", "lazyweb", "responsive-design", "stitch-skills", "web-design", "api-design", "api-documentation", "authentication-setup", "database-schema-design", "payloadcms", "supabase-agent-skills", "typesense", "backend-testing", "browser-harness", "playwriter", "web-accessibility", "optimize-web-animations", "threejs-animation", "threejs-fundamentals", "threejs-geometry", "threejs-interaction", "threejs-lighting", "threejs-loaders", "threejs-materials", "threejs-postprocessing", "threejs-shaders", "threejs-textures", "agentation", "react-grab", "slides-grab", "stitched-full-page-capture", "chatbot-template", "airship", "moli" ], "infrastructure": [ "deployment-automation", "vercel-deploy", "environment-setup", "system-environment-setup", "log-analysis", "monitoring-observability", "security-best-practices", "strix", "firebase-cli", "unity-cli", "genkit", "looker-studio-bigquery" ], "game": [ "implement-fog-of-war", "unity-gamedev-skill-pack", "agentic-gamedev-skills", "web-game-development", "bmad-gds", "open-design-game-ui-concept", "open-design-game-ui-handoff", "open-design-game-ui-takeover", "rfxgen", "animato", "unirig", "dalamud-vfx-editor", "game-vfx", "perfectpixel", "game-studio-harness", "underworld-overseer-save-mapper", "game-build-log-triage", "game-demo-feedback-triage", "game-performance-profiler", "wai-play", "game-ci-cd-pipeline", "steam-store-launch-ops" ], "creative-media": [ "aura-asset-images", "generate-reference-inspired-brand-worlds", "god-tibo-imagen", "paperbanana", "unsplash-asset-images", "browser-video-recording", "gbro-collage-broll", "opencut", "remotion-video-production", "video-production", "video-shotcraft", "video-to-superprompt", "vox-director", "video-motion-previs", "elevenlabs-tts", "presentation-builder", "drawio", "open-design", "webtoon-harness", "palmier-pro" ], "cli-tools": [ "soup", "caveman", "ccpi-marketplace", "cli-anything", "ghgrab", "jeo-skill", "pretext", "aider-cli-workflow", "claudekit", "fabric", "ooo", "open-code-review", "ponytail", "zeude", "compresso", "codeflow", "graphify", "npm-git-install", "okf", "rtk", "tokhub", "scrapling", "scrapingant-web-fetch", "semble", "x-twitter-scraper", "hyperfine-benchmarking", "codeburn", "mcp-server-sv-number" ], "ai-agents": [ "bmad", "deep-dive", "deepinit", "spec-kit", "microsoft-agent-framework", "openai-agents-python", "goalflow", "article-prompts-to-skills", "skill-standardization", "upskill", "write-a-skill", "langsmith", "opik", "skill-autoresearch", "kadath", "mex", "bmad-idea", "grill-me", "grill-with-docs", "plannotator", "survey", "to-issues", "to-prd", "triage", "openspace", "agentic-skills", "agenticskills", "prompts-chat" ], "engineering": [ "audit-reference-originality", "audit-verify-explain-grade-5", "code-refactoring", "code-review", "debugging", "diagnose", "github-repo-candidate-quality-gate", "migrate-to-shoehorn", "performance-optimization", "performance-profiling", "harness", "scaffold-exercises", "tdd", "testing-strategies", "improve-codebase-architecture", "zoom-out", "nightrun", "changelog-maintenance", "technical-writing", "codebase-search" ], "research": [ "academic-research", "research-paper-writing", "deep-research", "heretic", "data-analysis", "pattern-detection", "autoresearch", "scientific-llm-benchmarks", "agent-pulse" ], "business": [ "marketing-automation", "write-like-meng-on-x", "x-bookmark-quote-posts", "customer-email-draft-threads", "customer-support-verification", "yuwen-publish-precheck" ], "utilities": [ "lapian-notes", "llm-wiki", "notebooklm", "obsidian-mind", "obsidian-second-brain", "opencontext", "file-organization", "git-guardrails-claude-code", "git-submodule", "git-workflow", "game-sounds", "sprint-retrospective", "standup-meeting", "task-estimation", "task-planning", "google-workspace", "watermarks-remover" ] }, "subcategories": { "web": { "frontend": [ "ax", "react-best-practices", "react-bits", "state-management", "chatbot-template", "airship" ], "backend": [ "amrouter", "colibri", "pydantic-ai" ], "design": [ "astryx", "build-daily-inspiration-sites", "daily-ui-inspiration-capture", "design-first-ui-prompting", "design-system", "devup-ui", "html-to-interaction-prompts", "lazyweb", "responsive-design", "stitch-skills", "web-design" ], "api": [ "api-design", "api-documentation" ], "auth": [ "authentication-setup" ], "data": [ "database-schema-design", "payloadcms", "supabase-agent-skills", "typesense" ], "testing": [ "backend-testing", "browser-harness", "playwriter" ], "accessibility": [ "web-accessibility" ], "performance": [ "optimize-web-animations" ], "graphics": [ "threejs-animation", "threejs-fundamentals", "threejs-geometry", "threejs-interaction", "threejs-lighting", "threejs-loaders", "threejs-materials", "threejs-postprocessing", "threejs-shaders", "threejs-textures" ], "capture": [ "agentation", "react-grab", "slides-grab", "stitched-full-page-capture", "moli" ] }, "infrastructure": { "deployment": [ "deployment-automation", "vercel-deploy" ], "environment": [ "environment-setup", "system-environment-setup" ], "observability": [ "log-analysis", "monitoring-observability" ], "security": [ "security-best-practices", "strix" ], "cloud-data": [ "firebase-cli", "genkit", "looker-studio-bigquery" ], "automation": [], "tooling": [ "unity-cli" ] }, "game": { "client": [ "implement-fog-of-war", "unity-gamedev-skill-pack" ], "web": [ "agentic-gamedev-skills", "web-game-development" ], "server": [], "design-ui": [ "bmad-gds", "open-design-game-ui-concept", "open-design-game-ui-handoff", "open-design-game-ui-takeover" ], "audio": [ "rfxgen" ], "animation": [ "animato", "unirig" ], "motion-vfx": [ "dalamud-vfx-editor", "game-vfx" ], "sprite-image": [ "perfectpixel" ], "art-resources": [], "storytelling": [], "tooling": [ "game-studio-harness", "underworld-overseer-save-mapper" ], "qa-performance": [ "game-build-log-triage", "game-demo-feedback-triage", "game-performance-profiler", "wai-play" ], "release": [ "game-ci-cd-pipeline", "steam-store-launch-ops" ] }, "creative-media": { "image": [ "aura-asset-images", "generate-reference-inspired-brand-worlds", "god-tibo-imagen", "paperbanana", "unsplash-asset-images" ], "video": [ "browser-video-recording", "gbro-collage-broll", "opencut", "remotion-video-production", "video-production", "video-shotcraft", "video-to-superprompt", "vox-director", "palmier-pro" ], "motion": [ "video-motion-previs" ], "audio": [ "elevenlabs-tts" ], "presentation": [ "presentation-builder" ], "diagram": [ "drawio" ], "design": [ "open-design" ], "capture": [], "storytelling": [ "webtoon-harness" ] }, "cli-tools": { "developer-cli": [ "caveman", "ccpi-marketplace", "cli-anything", "ghgrab", "jeo-skill", "pretext", "codeburn" ], "ai-cli": [ "aider-cli-workflow", "claudekit", "fabric", "ooo", "open-code-review", "ponytail", "zeude", "soup", "mcp-server-sv-number" ], "media-cli": [ "compresso" ], "automation-cli": [ "codeflow", "graphify", "npm-git-install", "okf", "rtk", "tokhub" ], "search-cli": [ "scrapling", "scrapingant-web-fetch", "semble", "x-twitter-scraper" ], "benchmark-cli": [ "hyperfine-benchmarking" ] }, "ai-agents": { "orchestration": [ "bmad", "deep-dive", "deepinit", "spec-kit" ], "agent-frameworks": [ "microsoft-agent-framework", "openai-agents-python", "goalflow" ], "skill-authoring": [ "article-prompts-to-skills", "skill-standardization", "upskill", "write-a-skill" ], "evaluation": [ "langsmith", "opik", "skill-autoresearch", "kadath" ], "memory": [ "mex" ], "planning-review": [ "bmad-idea", "grill-me", "grill-with-docs", "plannotator", "survey", "to-issues", "to-prd", "triage" ], "discovery": [ "openspace" ], "prompting": [ "agentic-skills", "agenticskills", "prompts-chat" ] }, "engineering": { "code-quality": [ "audit-reference-originality", "audit-verify-explain-grade-5", "code-refactoring", "code-review", "debugging", "diagnose", "github-repo-candidate-quality-gate", "migrate-to-shoehorn", "performance-optimization", "performance-profiling" ], "testing": [ "harness", "scaffold-exercises", "tdd", "testing-strategies" ], "architecture": [ "improve-codebase-architecture", "zoom-out", "nightrun" ], "documentation": [ "changelog-maintenance", "technical-writing" ], "code-navigation": [ "codebase-search" ] }, "research": { "academic": [ "academic-research", "research-paper-writing" ], "web-research": [ "deep-research", "heretic" ], "data-analysis": [ "data-analysis", "pattern-detection" ], "experimentation": [ "autoresearch" ], "benchmarking": [ "scientific-llm-benchmarks" ], "intelligence": [ "agent-pulse" ] }, "business": { "marketing": [ "marketing-automation", "write-like-meng-on-x", "x-bookmark-quote-posts" ], "support": [ "customer-email-draft-threads", "customer-support-verification" ], "publishing": [ "yuwen-publish-precheck" ] }, "utilities": { "knowledge": [ "lapian-notes", "llm-wiki", "notebooklm", "obsidian-mind", "obsidian-second-brain", "opencontext" ], "files": [ "file-organization", "watermarks-remover" ], "git": [ "git-guardrails-claude-code", "git-submodule", "git-workflow" ], "workspace": [ "game-sounds" ], "project-management": [ "sprint-retrospective", "standup-meeting", "task-estimation", "task-planning" ], "productivity": [ "google-workspace" ], "general": [] } }, "bundles": { "starter": [ "jeo-skill", "skill-standardization", "codebase-search", "git-workflow", "debugging", "testing-strategies" ], "web-frontend": [ "react-best-practices", "responsive-design", "web-accessibility", "design-system", "web-design" ], "web-backend": [ "api-design", "authentication-setup", "database-schema-design", "backend-testing" ], "web-design": [ "web-design", "design-system", "responsive-design", "web-accessibility" ], "infrastructure-core": [ "deployment-automation", "environment-setup", "monitoring-observability", "security-best-practices" ], "game-client": [ "unity-gamedev-skill-pack", "game-studio-harness", "game-performance-profiler" ], "game-web": [ "web-game-development", "threejs-fundamentals", "implement-fog-of-war" ], "game-art": [ "game-vfx", "rfxgen", "perfectpixel", "open-design-game-ui-concept", "unirig" ], "media-video": [ "video-production", "video-shotcraft", "video-motion-previs", "remotion-video-production" ], "skill-authoring": [ "skill-standardization", "write-a-skill", "upskill" ], "cli-core": [ "jeo-skill", "rtk", "semble", "graphify", "scrapling" ] }, "retired_skills": { "clawteam": { "replacement": "jeo team", "replacement_type": "workflow", "reason": "Use the bundled Jeo team workflow instead of maintaining a duplicate runtime skill folder." }, "firebase-ai-logic": { "replacement": "genkit", "replacement_type": "skill", "mode": "client-ai-logic", "reason": "Direct Firebase AI Logic SDK guidance is merged into genkit client-ai-logic mode." } }, "relationship_groups": { "code-review": { "mode": "adjacent", "members": [ "code-review", "open-code-review" ], "note": "Human evidence-based review judgment and the OCR CLI are complementary, not aliases." }, "environment-setup": { "mode": "adjacent", "members": [ "environment-setup", "system-environment-setup" ], "note": "Application env/config scope versus whole-machine and local-service setup." }, "testing": { "mode": "layered", "members": [ "tdd", "testing-strategies", "backend-testing", "harness" ] }, "performance": { "mode": "layered", "members": [ "performance-profiling", "performance-optimization", "hyperfine-benchmarking", "game-performance-profiler" ] }, "web-design": { "mode": "related", "members": [ "web-design", "design-system", "design-first-ui-prompting", "responsive-design", "web-accessibility" ] }, "react": { "mode": "related", "members": [ "react-best-practices", "react-bits", "state-management" ] }, "threejs": { "mode": "family", "members": [ "threejs-animation", "threejs-fundamentals", "threejs-geometry", "threejs-interaction", "threejs-lighting", "threejs-loaders", "threejs-materials", "threejs-postprocessing", "threejs-shaders", "threejs-textures" ] }, "game-ui-production": { "mode": "sequence", "members": [ "open-design-game-ui-concept", "open-design-game-ui-handoff", "open-design-game-ui-takeover" ] }, "game-audio-vfx": { "mode": "related", "members": [ "rfxgen", "game-vfx", "dalamud-vfx-editor", "perfectpixel" ] }, "video-production": { "mode": "related", "members": [ "video-production", "video-shotcraft", "video-motion-previs", "remotion-video-production", "video-to-superprompt" ] }, "image-sources": { "mode": "provider-choice", "members": [ "aura-asset-images", "unsplash-asset-images", "god-tibo-imagen" ] }, "skill-authoring": { "mode": "related", "members": [ "skill-standardization", "write-a-skill", "upskill", "article-prompts-to-skills" ] }, "knowledge-vaults": { "mode": "related", "members": [ "llm-wiki", "obsidian-mind", "obsidian-second-brain", "lapian-notes" ] }, "bmad": { "mode": "family", "members": [ "bmad", "bmad-idea", "bmad-gds" ] }, "browser-evidence": { "mode": "related", "members": [ "browser-harness", "playwriter", "react-grab", "stitched-full-page-capture", "browser-video-recording" ] }, "firebase-ai-stack": { "mode": "merged-modes", "members": [ "genkit", "firebase-cli" ], "note": "Genkit now owns both client-ai-logic and server workflow modes; firebase-cli remains the platform/operator boundary." }, "live-web-fetch": { "mode": "related", "members": [ "scrapingant-web-fetch", "scrapling", "x-twitter-scraper", "ax" ] } }, "skills": [ { "name": "ax", "description": "AI-era curl for agent web fetching, structure discovery, and deterministic structured extraction with token-budgeted output.", "category": "web", "subcategory": "frontend", "interface": "workflow", "path": "ax/SKILL.md", "tags": [ "ax", "web-scraping", "web-extraction", "cli", "agent-tools", "structured-data", "token-efficient" ], "platforms": [], "allowed_tools": [], "keyword": "ax", "version": "1.0.0" }, { "name": "react-best-practices", "description": "Run measurement-led React and Next.js performance audits for waterfalls, bundle size, RSC/server-client boundaries, hydration mismatch, rerender churn, script cost, and slow page interactions. Use when the user needs help diagnosing or refactoring a slow React UI, App Router route, heavy client component, or Next.js page with excess JavaScript or weak client/server boundaries. Triggers on: React perf, Next.js perf, waterfall, bundle size, hydration, rerender, client component too heavy, slow route, React profiler, web vitals.", "category": "web", "subcategory": "frontend", "interface": "library", "path": "react-best-practices/SKILL.md", "tags": [ "React", "Next.js", "performance", "optimization", "vercel", "waterfalls", "bundle-size", "RSC" ], "platforms": [ "Claude", "ChatGPT", "Gemini" ], "allowed_tools": [], "keyword": "react-best-practices", "version": "1.1.0" }, { "name": "react-bits", "description": "Integrate, customize, and contribute to react-bits (github.com/DavidHDev/react-bits) \u2014 the largest and most creative library of animated React components. It covers Vite, Tailwind CSS v4, Three.js/Fiber, GSAP, and Framer Motion integrations. Use when the user asks about react-bits, animated React components, jsrepo registry, or contributing new animated components to the react-bits repository.", "category": "web", "subcategory": "frontend", "interface": "library", "path": "react-bits/SKILL.md", "tags": [ "react-bits", "animated-components", "gsap", "three-js", "framer-motion", "tailwind-v4", "jsrepo", "react", "vite" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "react-bits", "version": "1.0", "source": "DavidHDev/react-bits" }, { "name": "state-management", "description": "Choose the smallest viable React/fullstack state owner before comparing libraries. Use when the user needs to classify local UI state, shared subtree/Context state, URL or form state, server-state caches, or client workflow stores such as Zustand / Redux Toolkit / Jotai. Triggers on: global state, prop drilling, Context vs Zustand, Redux Toolkit vs Zustand, server state vs client state, React Router state management, optimistic updates, URL state, form state, and too much state in one store.", "category": "web", "subcategory": "frontend", "interface": "library", "path": "state-management/SKILL.md", "tags": [ "state-management", "react", "context", "redux-toolkit", "zustand", "jotai", "tanstack-query", "client-state", "server-state" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "state-management", "version": "2.2", "source": "akillness/jeo-skills" }, { "name": "amrouter", "description": "Self-hosted AI gateway with one OpenAI-compatible endpoint for multi-provider LLM, embedding, image, and audio routing, automatic fallback, load balancing, and cost optimization.", "category": "web", "subcategory": "backend", "interface": "workflow", "path": "amrouter/SKILL.md", "tags": [ "amrouter", "ai-gateway", "multi-provider", "openai-compatible", "auto-fallback", "load-balancing", "cost-optimization", "cloudflare-workers-ai" ], "platforms": [], "allowed_tools": [], "keyword": "amrouter", "version": "1.0.0" }, { "name": "colibri", "description": "Assist with Colibri: pure-C LLM inference engine for running GLM-5.2 (744B MoE) on consumer machines with ~25 GB RAM. Use when setting up, building, converting models, running inference, configuring expert streaming and caching, optimizing speculative decoding (MTP), GPU integration, and integrating Colibri into production pipelines. Includes build setup, model download & conversion, chat/inference modes, performance tuning, and API integration patterns.", "category": "web", "subcategory": "backend", "interface": "workflow", "path": "colibri/SKILL.md", "tags": [ "colibri", "llm-inference", "glm-5.2", "moe", "speculative-decoding", "quantization", "expert-streaming", "consumer-hardware", "c-runtime" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex", "jeopi" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "colibri", "version": "1.0", "source": "JustVugg/colibri" }, { "name": "pydantic-ai", "description": "Build typed LLM applications with PydanticAI: schema-constrained outputs, tool integration, validation, retries, and deterministic downstream handoffs. Use when users need reliable structured outputs instead of free-form text generation.", "category": "web", "subcategory": "backend", "interface": "workflow", "path": "pydantic-ai/SKILL.md", "tags": [ "pydantic", "structured-output", "validation", "llm-app", "python" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Grep", "Glob" ], "keyword": "pydantic-ai", "version": "1.0", "source": "pydantic/pydantic-ai" }, { "name": "astryx", "description": "Build fully customizable, agent-ready design systems with Astryx \u2014 Meta's production design system now open source. Ships 150+ React components built on StyleX with zero styling lock-in, component swizzling, brand theming, dark mode, and CLI tooling. Use when building component libraries, design systems, UI applications, design tokens, or when teams need consistent accessible components that AI agents can understand and extend. Triggers on: astryx, design system, component library, design tokens, react components, accessible components, astryx design, stylesheets, theme customization, component composition.", "category": "web", "subcategory": "design", "interface": "cli", "path": "astryx/SKILL.md", "tags": [ "astryx", "design-system", "react-components", "component-library", "design-tokens", "accessibility", "stylex", "theming", "ui-framework", "meta" ], "platforms": [ "Claude", "Codex", "Gemini", "Cursor", "OpenCode", "jeopi", "jeo", "All" ], "allowed_tools": [ "Read", "Write", "Edit", "Bash", "Grep", "Glob", "WebFetch", "Find", "Search" ], "keyword": "astryx", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "build-daily-inspiration-sites", "description": "Turn a completed daily UI inspiration capture into exactly five original landing-page builds, one per separate Codex task, using Sites. Use when the user asks to turn the daily inspiration references, a five-item UI prompt pack, or a dated `*-ui-inspiration-capture` article into distinct HTML landing pages while changing the source brands, names, copy, people, numbers, pricing, claims, and imagery.", "category": "web", "subcategory": "design", "interface": "workflow", "path": "build-daily-inspiration-sites/SKILL.md", "tags": [ "build", "daily", "inspiration", "sites", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "build-daily-inspiration-sites", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/build-daily-inspiration-sites" }, { "name": "daily-ui-inspiration-capture", "description": "Create a recurring daily UI inspiration capture. Use when the user asks to run, refresh, package, or validate dated UI inspiration bundles, especially for `articles/YYYY-MM-DD-ui-inspiration-capture/` outputs, Framer/Dribbble landing-page inspiration, motion-study screenshots/videos, AI-builder prompts, duplicate checking, or converting a project runbook into repeatable workflow.", "category": "web", "subcategory": "design", "interface": "workflow", "path": "daily-ui-inspiration-capture/SKILL.md", "tags": [ "daily", "inspiration", "capture", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "daily-ui-inspiration-capture", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/daily-ui-inspiration-capture" }, { "name": "design-first-ui-prompting", "description": "Use when you need design-first, spec-driven, skimmable prompts for UI generation. Covers prompt structure, constraints, variations, typography/spacing rules, and iteration workflow for consistent UI outputs.", "category": "web", "subcategory": "design", "interface": "workflow", "path": "design-first-ui-prompting/SKILL.md", "tags": [ "design", "first", "prompting", "mengto-skills", "ui-prompting", "design-first" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "design-first-ui-prompting", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/ui/design-first-ui-prompting" }, { "name": "design-system", "description": "Define or refactor a shared frontend UI system before polishing one screen at a time. Use when the user needs token governance, visual-language rules, primitive naming, page-system direction, cross-product consistency, or a design handoff that should stay coherent across landing pages, dashboards, forms, and component libraries, including the reusable primitive / slot / variant APIs that system owns. Not for responsive layout-only fixes, accessibility-only remediation, or broad UI critique. Triggers on: design system, design tokens, visual language, component library foundations, UI governance, cross-product consistency, landing page plus dashboard system, primitive naming, token policy, component API architecture.", "category": "web", "subcategory": "design", "interface": "library", "path": "design-system/SKILL.md", "tags": [ "frontend", "design-system", "ui", "ux", "design-tokens", "governance", "visual-language", "accessibility" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "design-system", "version": "2.0", "source": "akillness/jeo-skills" }, { "name": "devup-ui", "description": "[devup-ui] Routing-first front door for Devup UI \u2014 a zero-runtime CSS-in-JS library whose Rust + WebAssembly preprocessor extracts every style at build time, so no styling JavaScript ships at runtime. Use to adopt/integrate Devup UI, wire the build-time plugin into Next.js/Vite/Rsbuild/Webpack/Bun, write styles with Box/css props or the styled-components-compatible styled() API, set up type-safe theming with devup.json, or migrate off styled-components/Emotion/Tailwind/Panda/vanilla-extract to zero runtime.", "category": "web", "subcategory": "design", "interface": "library", "path": "devup-ui/SKILL.md", "tags": [ "devup-ui", "css-in-js", "zero-runtime", "build-time-extraction", "styled", "theming", "react", "nextjs", "vite", "rust", "wasm" ], "platforms": [], "allowed_tools": [ "Read", "Write", "Edit", "Bash", "Grep", "Glob", "WebFetch" ], "keyword": "devup-ui", "version": "1.0", "source": "https://github.com/dev-five-git/devup-ui" }, { "name": "html-to-interaction-prompts", "description": "Convert a supplied HTML page or generated HTML reference into a screenshot-backed article containing multiple reusable interaction prompts. Use when the user provides an HTML file, exported page, generated-page.html, or local/live reference and asks to extract animation/interactions, create prompts, capture screenshots for each prompt, add them to an article, or commit the resulting article/assets.", "category": "web", "subcategory": "design", "interface": "workflow", "path": "html-to-interaction-prompts/SKILL.md", "tags": [ "html", "interaction", "prompts", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "html-to-interaction-prompts", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/html-to-interaction-prompts" }, { "name": "lazyweb", "description": "Lazyweb is the design-evidence skill for AI coding agents. Use it when designing, critiquing, or changing product UI \u2014 it provides real app screenshots, competitor references, best practices, quick examples, creative cross-category ideas, paywall optimization guidance, and mobile growth + monetization A/B test context. Routes to the right Lazyweb mode (design workflow, quick search, update, flowchart, or A/B test research) using MCP tools and the Lazyweb server at https://www.lazyweb.com/mcp. Use before designing any screen when you need design evidence instead of training-data vibes.", "category": "web", "subcategory": "design", "interface": "mcp", "path": "lazyweb/SKILL.md", "tags": [ "lazyweb", "design-research", "ui-reference", "product-design", "competitive-analysis", "paywall-optimization", "a-b-testing", "monetization" ], "platforms": [ "Claude", "Codex", "Gemini", "OpenCode", "jeo", "jeopi" ], "allowed_tools": [ "Bash", "Read", "Write", "Glob", "Grep", "WebFetch", "AskUserQuestion" ], "keyword": "lazyweb", "version": "1.0.0", "source": "aboul3ata/lazyweb-skill" }, { "name": "responsive-design", "description": "Routing-first responsive layout strategy and verification for web interfaces. Use when the main job is classifying whether the failure is page-shell adaptation, reusable component/container behavior, dense-data or toolbar pressure, responsive media, or reflow verification \u2014 then turning vague \u201cbreaks on mobile\u201d requests into one concrete strategy packet. Route component API design and system-wide breakpoint/token governance to `design-system`, and accessibility remediation plus broad UI audit work to `web-accessibility`.", "category": "web", "subcategory": "design", "interface": "workflow", "path": "responsive-design/SKILL.md", "tags": [ "responsive", "mobile-first", "layout", "container-queries", "breakpoints", "frontend", "css", "reflow" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "responsive-design", "version": "2.1.0", "source": "akillness/jeo-skills" }, { "name": "stitch-skills", "description": "A collection of Agent Skills for the Stitch MCP server: generate high-fidelity UI screens, create multi-page websites from a single prompt, produce DESIGN.md documentation, enhance vague UI prompts, convert designs to React/shadcn-ui components, and generate walkthrough videos via Remotion. Use when the user needs AI-assisted UI design generation, prompt refinement, or screen-to-code workflows. Triggers on: stitch, stitch-design, stitch-loop, enhance-prompt, react-components, remotion, shadcn-ui, screen generation, ui generation.", "category": "web", "subcategory": "design", "interface": "mcp", "path": "stitch-skills/SKILL.md", "tags": [ "stitch", "stitch-design", "stitch-loop", "screen-generation", "ui-generation", "enhance-prompt", "react-components", "remotion", "shadcn-ui", "design-md", "mcp", "agent-skills" ], "platforms": [ "Claude Code", "Codex CLI", "Gemini CLI", "OpenCode" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob", "WebFetch" ], "keyword": "stitch-skills", "version": "latest", "source": "google-labs-code/stitch-skills" }, { "name": "web-design", "description": "Route web design, motion, WebGL, and visual-styling requests into the narrowest matching sub-skill of the 79-skill MengTo/Skills web-design family \u2014 Style/Design-System Packs, Full-Site Quality & Direction, Motion & Scroll Systems, WebGL/3D Backgrounds & Shaders, Library Embeds & Integrations, Component & State Effects, and CSS Technique Primitives. Use when picking and fetching the right visual recipe for a marketing site, landing page, portfolio, or dashboard shell, then combining layers in direction \u2192 layout \u2192 background \u2192 motion \u2192 component-state \u2192 polish order. Triggers on: web design, landing page, awwwards, GSAP, Lenis, scroll animation, WebGL background, shader, glass UI, dark mode design system, editorial layout, cursor trail, progressive blur, gradient border, three.js background, vanta, globe.gl, unicorn studio, marketing site polish.", "category": "web", "subcategory": "design", "interface": "library", "path": "web-design/SKILL.md", "tags": [ "web-design", "motion", "webgl", "gsap", "threejs", "css", "landing-page", "skill-routing", "skill-pack", "mengto-skills" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "web-design", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/web-design" }, { "name": "api-design", "description": "Design or refactor API contracts for REST and GraphQL systems.", "category": "web", "subcategory": "api", "interface": "workflow", "path": "api-design/SKILL.md", "tags": [ "api-design", "REST", "GraphQL", "OpenAPI", "contract-design", "versioning", "backend" ], "platforms": [ "Claude", "ChatGPT", "Gemini" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "api-design", "version": "1.1.0" }, { "name": "api-documentation", "description": "Use this skill when the main job is publishing or refreshing developer-facing API docs that help integrators reach first success, understand reference truth, and stay unblocked as the API evolves.", "category": "web", "subcategory": "api", "interface": "library", "path": "api-documentation/SKILL.md", "tags": [ "api-documentation", "developer-docs", "openapi", "swagger", "graphql", "webhooks", "sdk-docs", "developer-portal", "integration-guides" ], "platforms": [ "Claude", "ChatGPT", "Gemini" ], "allowed_tools": [ "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "api-documentation", "version": "2.1.0" }, { "name": "authentication-setup", "description": "Design or refactor product authentication setup for web apps and APIs. Use when choosing hosted/framework-native/platform-native/enterprise-add-on/self-hosted auth, sessions vs JWTs, OAuth/social login, passkeys, org/member models, callback/cookie environment setup, or SSO/SCIM rollout boundaries.", "category": "web", "subcategory": "auth", "interface": "library", "path": "authentication-setup/SKILL.md", "tags": [ "authentication-setup", "auth", "sessions", "jwt", "oauth", "passkeys", "sso", "scim", "product-auth", "backend" ], "platforms": [ "Claude", "ChatGPT", "Gemini" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "authentication-setup", "version": "2.1.0" }, { "name": "database-schema-design", "description": "Design storage-model and migration-safety packets for relational, document-heavy, and hybrid data systems. Use when the user needs entity ownership, constraints, indexes, staged schema changes, or queryable-vs-flexible field decisions across backend/fullstack products, internal ops tools, marketing/customer-data workflows, or game/live-ops systems. Route API contracts to api-design, auth-owned identity/session modeling to authentication-setup, verification to backend-testing, and reporting/telemetry follow-through to looker-studio-bigquery or monitoring-observability.", "category": "web", "subcategory": "data", "interface": "workflow", "path": "database-schema-design/SKILL.md", "tags": [ "database", "schema-design", "migrations", "indexing", "constraints", "relational", "nosql", "backend" ], "platforms": [ "Claude", "ChatGPT", "Gemini" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "database-schema-design", "version": "2.1.0" }, { "name": "payloadcms", "description": "Operate Payload CMS (Next.js-native headless CMS) in repo workflows: bootstrap a Payload app, configure collections/globals, run local dev + migrations, and ship safe content-model changes. Use when the request mentions Payload CMS, payload config, collection schema, admin panel, or Next.js + headless CMS integration.", "category": "web", "subcategory": "data", "interface": "workflow", "path": "payloadcms/SKILL.md", "tags": [ "payloadcms", "payload", "cms", "headless-cms", "nextjs", "backend", "content-model", "migration" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "payloadcms", "version": "1.0", "source": "https://github.com/payloadcms/payload" }, { "name": "supabase-agent-skills", "description": "Install and use Supabase Agent Skills (`supabase/agent-skills`) with AI coding agents. Covers install modes, skill selection, plugin path, verification, and safe fallback for direct Supabase CLI/database workflows.", "category": "web", "subcategory": "data", "interface": "cli", "path": "supabase-agent-skills/SKILL.md", "tags": [ "supabase", "postgres", "agent-skills", "ai-agent", "database", "backend", "cli" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "supabase-agent-skills", "version": "1.0", "source": "https://github.com/supabase/agent-skills" }, { "name": "typesense", "description": "Stand up a self-hostable, typo-tolerant search environment with Typesense \u2014 the open-source Algolia / ElasticSearch alternative (single C++ binary, <50ms instant search, no runtime deps). One routing-first skill: pick a server mode (binary download, official Docker image, or managed Typesense Cloud), install an API client (Python/JS/PHP/Ruby official; Go/Dart/C# community), design a collection schema, index documents, and run searches with typo tolerance, faceting/filtering, geo-search, sorting, grouping, synonyms, curation, scoped API keys, and federated multi-search \u2014 then wire an InstantSearch.js UI and a Raft-based HA cluster for production. Use when the user wants to build or operate an installable search backend, add site/app/product search, or migrate off Algolia/Elasticsearch. Triggers on: typesense, search engine, typo-tolerant search, algolia alternative, elasticsearch alternative, instantsearch, faceted search, geo search, vector search, self-hosted search, site search, product search.", "category": "web", "subcategory": "data", "interface": "workflow", "path": "typesense/SKILL.md", "tags": [ "typesense", "search-engine", "typo-tolerant", "algolia-alternative", "elasticsearch-alternative", "instantsearch", "faceted-search", "geo-search", "self-hosted", "plugin" ], "platforms": [ "Claude", "Gemini", "Codex", "OpenCode", "All" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "typesense", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "backend-testing", "description": "Turn backend test ambiguity into one practical backend test packet. Use when the user needs API/service/repository/auth-flow coverage design, fixture or seed/reset strategy, container-vs-mock dependency choices, contract/API compatibility checks, or flaky backend-suite stabilization across local and CI.", "category": "web", "subcategory": "testing", "interface": "workflow", "path": "backend-testing/SKILL.md", "tags": [ "testing", "backend", "api-test", "integration-test", "contract-test", "testcontainers", "ci" ], "platforms": [ "Claude", "ChatGPT", "Gemini" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "backend-testing", "version": "1.2.0" }, { "name": "browser-harness", "description": "Automates and verifies multi-step browser tasks through a clean Chrome CDP session; use when repeatable autonomous browser control is needed, not an already-open authenticated profile.", "category": "web", "subcategory": "testing", "interface": "workflow", "path": "browser-harness/SKILL.md", "tags": [ "browser-harness", "browser-automation", "self-healing", "cdp", "chrome-devtools-protocol", "llm-browser", "codex", "antigravity", "claude-code", "claude-vision-safe", "screenshot", "domain-skills" ], "platforms": [ "Claude Code", "Codex", "Antigravity", "Gemini CLI", "OpenCode" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "browser-harness", "version": "1.1.0", "source": "https://github.com/browser-use/browser-harness" }, { "name": "playwriter", "description": "Reuse a running Chrome session for browser automation via Playwriter CLI + MCP. Use when the task depends on the browser the user already has open \u2014 existing logins, cookies, extensions, passkey-friendly flows, or live-tab continuity. Route repeatable fresh-browser or CI-style checks to `browser-harness` instead.", "category": "web", "subcategory": "testing", "interface": "cli", "path": "playwriter/SKILL.md", "tags": [ "playwriter", "playwright", "browser-automation", "chrome-extension", "mcp", "authenticated", "stateful", "session-reuse" ], "platforms": [], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "playwriter", "version": "1.1.0", "source": "remorses/playwriter" }, { "name": "web-accessibility", "description": "Routing-first skill for web accessibility remediation and verification. Use when the main job is classifying which accessibility surface is failing \u2014 semantics, keyboard/focus, labels/announcements, visual perception/reflow, media alternatives, or routed-app navigation feedback \u2014 and turning vague audit, WCAG, axe/Lighthouse, or \"make this accessible\" requests into one concrete remediation packet. Broad UI critique for hierarchy, polish, and launch readiness belongs here too. Route component API architecture and system governance to `design-system`, and responsive layout strategy to `responsive-design`.", "category": "web", "subcategory": "accessibility", "interface": "workflow", "path": "web-accessibility/SKILL.md", "tags": [ "accessibility", "a11y", "wcag", "aria", "keyboard-navigation", "focus-management", "screen-reader", "frontend" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "web-accessibility", "version": "2.1.0", "source": "akillness/jeo-skills" }, { "name": "optimize-web-animations", "description": "Profile, audit, and optimize frontend page performance with emphasis on animation work, memory-leak risks, long-session slowdowns, CSS animations, canvas/WebGL requestAnimationFrame loops, marquees, skeletons, GSAP/Three/Matter effects, timers, listeners, and observers. Use when the user asks to make animations performant, pause offscreen animations, look for memory leaks, profile pages that slow the computer over time, fix janky scrolling, reduce CPU/GPU use, or repeat the \"only play in view\" optimization on React/Vite/Next/frontend pages using Codex Browser.", "category": "web", "subcategory": "performance", "interface": "library", "path": "optimize-web-animations/SKILL.md", "tags": [ "optimize", "web", "animations", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "optimize-web-animations", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/optimize-web-animations" }, { "name": "threejs-animation", "description": "Implement and debug Three.js motion with AnimationMixer, clips and actions, GLTF animation playback, skeletal rigs, morph targets, cross-fades, and frame-rate-independent procedural animation. Use when playing or blending model animations, driving bones or morphs, creating timeline motion, or fixing animation lifecycle and performance issues. Triggers on: Three.js animation, AnimationMixer, AnimationAction, AnimationClip, GLTF animation, skeletal animation, bones, morph targets, crossfade, procedural motion.", "category": "web", "subcategory": "graphics", "interface": "library", "path": "threejs-animation/SKILL.md", "tags": [ "three.js", "animation", "animation-mixer", "gltf", "skeleton", "morph-targets", "webgl" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "threejs-animation", "version": "1.0", "source": "https://github.com/CloudAI-X/threejs-skills/tree/main/skills/threejs-animation" }, { "name": "threejs-fundamentals", "description": "Build and debug the Three.js scene foundation: renderer setup, cameras, scene graph, transforms, resize handling, color management, render loops, and resource disposal. Use when creating a Three.js scene, choosing a camera or renderer, fixing coordinate space or hierarchy bugs, or establishing a reliable WebGL canvas baseline. Triggers on: three.js scene, WebGLRenderer, PerspectiveCamera, OrthographicCamera, Object3D, scene graph, camera setup, resize canvas, render loop, coordinate system, transform.", "category": "web", "subcategory": "graphics", "interface": "library", "path": "threejs-fundamentals/SKILL.md", "tags": [ "three.js", "webgl", "scene", "camera", "renderer", "scene-graph", "transforms", "frontend" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "threejs-fundamentals", "version": "1.0", "source": "https://github.com/CloudAI-X/threejs-skills/tree/main/skills/threejs-fundamentals" }, { "name": "threejs-geometry", "description": "Build and optimize Three.js geometry with built-in primitives, BufferGeometry, BufferAttributes, indexed meshes, custom vertex data, lines and points, and instanced rendering. Use when creating meshes, editing vertices or UVs, generating shapes, reducing draw calls, or diagnosing geometry memory and culling behavior. Triggers on: Three.js geometry, BufferGeometry, BufferAttribute, vertices, indices, custom mesh, InstancedMesh, instancing, draw calls, line geometry, points, mesh optimization.", "category": "web", "subcategory": "graphics", "interface": "library", "path": "threejs-geometry/SKILL.md", "tags": [ "three.js", "geometry", "buffergeometry", "bufferattribute", "instancing", "meshes", "webgl" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "threejs-geometry", "version": "1.0", "source": "https://github.com/CloudAI-X/threejs-skills/tree/main/skills/threejs-geometry" }, { "name": "threejs-interaction", "description": "Implement and debug Three.js interaction with Raycaster, pointer and touch coordinate conversion, hover/selection state, camera controls, dragging, keyboard input, and world-to-screen projection. Use when picking objects, adding OrbitControls or PointerLockControls, handling mouse/touch input, or fixing interactive 3D behavior. Triggers on: Three.js interaction, Raycaster, raycast, picking, click mesh, hover, object selection, OrbitControls, drag controls, pointer events, touch controls.", "category": "web", "subcategory": "graphics", "interface": "library", "path": "threejs-interaction/SKILL.md", "tags": [ "three.js", "interaction", "raycaster", "picking", "controls", "pointer-events", "touch", "webgl" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "threejs-interaction", "version": "1.0", "source": "https://github.com/CloudAI-X/threejs-skills/tree/main/skills/threejs-interaction" }, { "name": "threejs-lighting", "description": "Design and debug Three.js lighting with directional, point, spot, hemisphere, and area lights, shadow maps, image-based lighting, environment maps, light helpers, and performance budgets. Use when lighting a 3D scene, configuring shadows, setting up HDR illumination, matching a visual reference, or fixing dark, flat, or expensive renders. Triggers on: Three.js lighting, directional light, point light, spot light, shadows, shadow map, ambient light, HDR environment, IBL, environment map, light helper.", "category": "web", "subcategory": "graphics", "interface": "library", "path": "threejs-lighting/SKILL.md", "tags": [ "three.js", "lighting", "shadows", "environment-map", "ibl", "hdr", "pbr", "webgl" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "threejs-lighting", "version": "1.0", "source": "https://github.com/CloudAI-X/threejs-skills/tree/main/skills/threejs-lighting" }, { "name": "threejs-loaders", "description": "Load and manage Three.js assets with LoadingManager, GLTFLoader, DRACOLoader, KTX2Loader, texture/HDR loaders, async error handling, caching, progress reporting, and resource ownership. Use when importing GLB/GLTF models, textures, HDR assets, or compressed geometry, or when fixing slow, failed, duplicated, or leaky asset loads. Triggers on: Three.js loader, GLTFLoader, GLB, glTF, DRACOLoader, KTX2Loader, LoadingManager, texture loader, HDR loader, loading progress, asset cache.", "category": "web", "subcategory": "graphics", "interface": "library", "path": "threejs-loaders/SKILL.md", "tags": [ "three.js", "loaders", "gltf", "glb", "draco", "ktx2", "assets", "loading-manager", "webgl" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "threejs-loaders", "version": "1.0", "source": "https://github.com/CloudAI-X/threejs-skills/tree/main/skills/threejs-loaders" }, { "name": "threejs-materials", "description": "Choose, configure, and optimize Three.js mesh materials: basic, Lambert, Phong, Standard, Physical, toon, points, lines, and shader-backed surfaces; PBR maps, transparency, environment reflections, cloning, and disposal. Use when styling meshes, tuning PBR, fixing transparency or material sharing bugs, or reducing material cost. Triggers on: Three.js material, MeshStandardMaterial, MeshPhysicalMaterial, PBR, roughness, metalness, transparency, environment map, mesh surface, material clone.", "category": "web", "subcategory": "graphics", "interface": "library", "path": "threejs-materials/SKILL.md", "tags": [ "three.js", "materials", "pbr", "meshstandardmaterial", "meshphysicalmaterial", "transparency", "webgl" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "threejs-materials", "version": "1.0", "source": "https://github.com/CloudAI-X/threejs-skills/tree/main/skills/threejs-materials" }, { "name": "threejs-postprocessing", "description": "Build and optimize Three.js post-processing with EffectComposer, RenderPass, bloom, anti-aliasing, SSAO, depth of field, outlines, color correction, custom ShaderPasses, render targets, resize handling, and frame-budget controls. Use when adding or fixing screen-space effects, composer pass order, render target sizing, or visual-effect cost. Triggers on: Three.js postprocessing, EffectComposer, RenderPass, UnrealBloomPass, FXAA, SMAA, SSAO, depth of field, bloom, ShaderPass, render target, screen-space effect.", "category": "web", "subcategory": "graphics", "interface": "library", "path": "threejs-postprocessing/SKILL.md", "tags": [ "three.js", "postprocessing", "effectcomposer", "bloom", "antialiasing", "render-target", "webgl" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "threejs-postprocessing", "version": "1.0", "source": "https://github.com/CloudAI-X/threejs-skills/tree/main/skills/threejs-postprocessing" }, { "name": "threejs-shaders", "description": "Create and debug Three.js shaders with ShaderMaterial, RawShaderMaterial, uniforms, varyings, GLSL vertex and fragment programs, texture sampling, procedural effects, onBeforeCompile extensions, shader chunks, instancing, and GPU performance checks. Use when writing custom GLSL, extending a built-in material, animating shader uniforms, or diagnosing shader compile, coordinate-space, and rendering issues. Triggers on: Three.js shader, ShaderMaterial, RawShaderMaterial, GLSL, uniforms, varyings, onBeforeCompile, fragment shader, vertex shader, fresnel, displacement, shader chunk.", "category": "web", "subcategory": "graphics", "interface": "library", "path": "threejs-shaders/SKILL.md", "tags": [ "three.js", "shaders", "glsl", "shadermaterial", "rawshadermaterial", "uniforms", "webgl" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "threejs-shaders", "version": "1.0", "source": "https://github.com/CloudAI-X/threejs-skills/tree/main/skills/threejs-shaders" }, { "name": "threejs-textures", "description": "Load, configure, and optimize Three.js textures: color space, wrapping, filtering, mipmaps, UV transforms, normal/AO/PBR maps, cube and HDR environments, data/canvas/video textures, render targets, texture memory, and disposal. Use when images look wrong, UVs repeat incorrectly, HDR/IBL is needed, or texture quality and GPU memory need tuning. Triggers on: Three.js texture, TextureLoader, UV mapping, color space, sRGB, mipmap, anisotropy, normal map, environment map, cubemap, HDR texture, render target, video texture.", "category": "web", "subcategory": "graphics", "interface": "library", "path": "threejs-textures/SKILL.md", "tags": [ "three.js", "textures", "uv", "color-space", "hdr", "environment-map", "render-target", "webgl" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "threejs-textures", "version": "1.0", "source": "https://github.com/CloudAI-X/threejs-skills/tree/main/skills/threejs-textures" }, { "name": "agentation", "description": "Exact rendered-UI feedback router \u2192 choose copy-paste review, watch-loop sync, self-driving critique, or platform setup. MCP: npx add-mcp \"npx -y agentation-mcp server\"", "category": "web", "subcategory": "capture", "interface": "mcp", "path": "agentation/SKILL.md", "tags": [ "ui-feedback", "browser-annotation", "visual-feedback", "mcp", "react", "ai-agent", "design-review", "css-selector" ], "platforms": [ "Claude Code", "Codex", "Gemini CLI", "OpenCode", "Cursor", "Windsurf", "ChatGPT" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "agentation", "version": "1.1.0", "source": "benjitaylor/agentation" }, { "name": "react-grab", "description": "Capture exact React element context from a live browser UI and hand it to an AI coding agent as component name, source file path, line number, and HTML. Use when the user wants `react-grab`, element-context copy, component-source lookup from the browser, clipboard-to-agent React debugging, or MCP-backed element selection for React apps. Not for generic browser automation or login/session reuse (`browser-harness`, `playwriter`), broad UI annotation/review (`agentation`), React performance audits (`react-best-practices`), or general design-system work (`design-system`). Triggers on: react-grab, grab element context, copy component to AI, browser component picker, React component inspector, clipboard component source, get element context from browser, grab UI element.", "category": "web", "subcategory": "capture", "interface": "mcp", "path": "react-grab/SKILL.md", "tags": [ "react-grab", "grab", "element-context", "ai-agent", "clipboard", "component-inspector", "dev-tools", "react", "browser", "mcp" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "react-grab", "version": "1.1", "source": "https://github.com/aidenybai/react-grab" }, { "name": "slides-grab", "description": "Generate, visually edit, and export beautiful HTML/CSS presentation decks with agents using slides-grab (NomaDamas, MIT) \u2014 the open-source Claude Design alternative and best harness + editor + linter for slides in Claude Code / Codex. One routing-first skill across Plan (agent drafts an outline), Design (each slide is a self-contained slide-XX.html), Edit (a pure-JS browser editor where you drag a bbox over any region and ask the agent to rewrite just that area, or hand-tweak text/size/bold), and Export (capture-or-print PDF, per-slide PNG incl. Instagram 1:1 card-news, plus experimental/unstable PPTX and Figma-importable PPTX). Picks an install path (npm package + npx skills add, or clone), a deck workspace (--slides-dir, multi-deck decks//), one of 35 bundled design styles, and the supported asset flow (local ./assets/ only \u2014 image via god-tibo-imagen/codex/nano-banana, fetch-video via yt-dlp, tldraw .tldr\u2192SVG), validating with slides-grab validate before any export.", "category": "web", "subcategory": "capture", "interface": "workflow", "path": "slides-grab/SKILL.md", "tags": [ "slides-grab", "slide-generation", "presentation", "html-slides", "slide-editor", "pdf-export", "pptx-export", "card-news", "claude-design-alternative", "plugin" ], "platforms": [ "Claude", "Codex", "Gemini", "OpenCode", "All" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "slides-grab", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "stitched-full-page-capture", "description": "Capture or repair reliable full-page screenshots for lazy-loaded, scroll-animated, Framer, WebGL/canvas, or reveal-heavy web pages. Use when full-page screenshots are blank, gray, white, sparse, show a tiny content strip, disagree with a working scroll video, or when article evidence/section crops must be derived from a trustworthy full-page image.", "category": "web", "subcategory": "capture", "interface": "workflow", "path": "stitched-full-page-capture/SKILL.md", "tags": [ "stitched", "full", "page", "capture", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "stitched-full-page-capture", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/stitched-full-page-capture" }, { "name": "deployment-automation", "description": "Plan and review release execution for web, backend, and fullstack systems: preview releases, staging-to-production promotion, rollout strategy, post-deploy verification, rollback response, and release-hardening checklists. Use when the system can already build and the main job is shipping or recovering a release safely, choosing between preview / promotion / canary / rollback paths, or tightening deploy gates around health checks and sign-off. CI workflow and release-job authoring belongs here too. Route machine/runtime setup to `system-environment-setup`, long-lived telemetry design to `monitoring-observability`, and Vercel-specific operations to `vercel-deploy`.", "category": "infrastructure", "subcategory": "deployment", "interface": "workflow", "path": "deployment-automation/SKILL.md", "tags": [ "deployment", "release-rollout", "preview-environments", "rollback", "progressive-delivery", "post-deploy-verification", "devops" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "deployment-automation", "version": "2.1.0", "source": "akillness/jeo-skills" }, { "name": "vercel-deploy", "description": "Run Vercel-specific deployment operations for linked web/fullstack projects: preview deploys, direct production deploys, staged deploy + promote flows, aliases/domains, environment-variable sync, and rollback response. Use when the request is specifically about operating a project on Vercel after the provider is already chosen \u2014 especially when someone needs a preview URL, stable alias, custom domain, env-scope fix, production cutover, or rollback on Vercel. Triggers on: Vercel deploy, Vercel preview URL, vercel promote, vercel alias, Vercel domain, Vercel env, Vercel rollback, and Vercel CLI deployment. Route provider-neutral release strategy to `deployment-automation`, CI/workflow authoring to `deployment-automation`, and local install/auth/bootstrap work to `system-environment-setup`.", "category": "infrastructure", "subcategory": "deployment", "interface": "cli", "path": "vercel-deploy/SKILL.md", "tags": [ "vercel", "deployment", "preview", "production", "promote", "alias", "domains", "environment-variables", "rollback" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "vercel-deploy", "version": "2.1.0", "source": "akillness/jeo-skills" }, { "name": "environment-setup", "description": "Organize application environment configuration: `.env` files, env precedence, typed env validation, secret handoff, framework-specific env rules, and config drift between local, staging, CI, and production. Use when the user needs help structuring environment variables, validating required config, separating public/private env values, or cleaning up env-file sprawl. This is the narrower app-config compatibility skill. Route broader runnable-machine, Docker, devcontainer, onboarding, and local-service setup work to `system-environment-setup`.", "category": "infrastructure", "subcategory": "environment", "interface": "library", "path": "environment-setup/SKILL.md", "tags": [ "environment", "env-files", "dotenv", "env-validation", "config-management", "secrets-handoff" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "environment-setup", "version": "1.1", "source": "akillness/jeo-skills" }, { "name": "system-environment-setup", "description": "Build reproducible developer environments for real projects: local toolchains, runtime versions, Docker Compose or dev containers, onboarding flows, local service parity, bootstrap scripts, and environment troubleshooting. Use when the user needs a repo to run consistently across machines, containers, or staged environments, even if they only say setup dev environment, onboarding, Docker, devcontainer, local parity, bootstrap, or make this runnable. This is the canonical broader environment-setup skill. Route narrower `.env` and app-config questions to `environment-setup`.", "category": "infrastructure", "subcategory": "environment", "interface": "workflow", "path": "system-environment-setup/SKILL.md", "tags": [ "environment-setup", "reproducibility", "devcontainers", "docker-compose", "onboarding", "toolchains", "local-parity" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "system-environment-setup", "version": "1.1", "source": "akillness/jeo-skills" }, { "name": "log-analysis", "description": "Route runtime-log requests into one evidence packet before diagnosing anything. Use when the user shares app/server/container/browser/CI/JSON log output and wants the first actionable blocker, repeated signature, likely blast radius, or safest next read-only checks. Choose one packet: app-runtime, container-runtime, browser-plus-api, ci-cascade, structured-json, or security-signal. Triggers on: check the logs, which line matters, real error, first blocker, noisy stack trace, retry storm, browser 401/500, pod logs, worker crash, CI abort, webhook failure. Route engine-specific Unity/Unreal logs to `game-build-log-triage`, observability design to `monitoring-observability`, and remediation/debug hypotheses to `debugging`.", "category": "infrastructure", "subcategory": "observability", "interface": "workflow", "path": "log-analysis/SKILL.md", "tags": [ "logs", "triage", "debugging", "observability", "incidents", "ci", "browser", "grep" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Grep", "Glob" ], "keyword": "log-analysis", "version": "2.1", "source": "akillness/jeo-skills" }, { "name": "monitoring-observability", "description": "Route observability work from the current packet into one monitoring brief. Use when the main job is deciding service-health signals, telemetry rollout, dashboard/alert coverage, pipeline freshness/schema monitoring, or game live-ops visibility; choosing between service reliability, telemetry foundation, review audit, data/pipeline, and live-ops modes; and naming one smallest implementation slice. Route outage-log root cause to `log-analysis`, code-level failure isolation to `debugging`, bottleneck tuning to `performance-optimization`, rollout execution to `deployment-automation`, LLM-specific tracing to `langsmith`, and engine-profiler interpretation to `game-performance-profiler`.", "category": "infrastructure", "subcategory": "observability", "interface": "workflow", "path": "monitoring-observability/SKILL.md", "tags": [ "observability", "monitoring", "telemetry", "alerts", "dashboards", "slos", "logging", "traces", "metrics" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "monitoring-observability", "version": "2.1", "source": "akillness/jeo-skills" }, { "name": "security-best-practices", "description": "Routing-first skill for web/application/API hardening. Use when the main job is classifying which security layer is missing \u2014 browser/perimeter policy, session/cookie/CSRF, abuse controls, validation/unsafe execution, secrets/runtime config, or verification \u2014 and turning vague OWASP/security asks into one concrete hardening brief. Route auth-stack choice to `authentication-setup`, schema work to `database-schema-design`, code-level bug fixing to `debugging` / `code-review`, and environment wiring to `system-environment-setup`.", "category": "infrastructure", "subcategory": "security", "interface": "workflow", "path": "security-best-practices/SKILL.md", "tags": [ "security-best-practices", "owasp", "appsec", "csp", "csrf", "secrets", "rate-limiting", "web-security", "api-security" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "security-best-practices", "version": "2.1.0" }, { "name": "strix", "description": "Install, configure, and operate Strix for AI-driven application security testing. Use when you need to run authorized vulnerability scans against local codebases, GitHub repositories, staging URLs, domains, or CI pipelines; configure Docker and LLM providers; choose quick, standard, or deep scan depth; or pass authenticated testing instructions to Strix. Triggers on: strix, ai pentest, vulnerability scan cli, appsec scan, bug bounty automation, strix ci, strix docker, strix scan mode, strix instruction file, headless security scan.", "category": "infrastructure", "subcategory": "security", "interface": "cli", "path": "strix/SKILL.md", "tags": [ "strix", "appsec", "pentest", "vulnerability-scan", "ci-cd", "docker", "llm", "security-testing", "bug-bounty", "browser-automation" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "strix", "version": "1.0", "source": "https://github.com/usestrix/strix" }, { "name": "firebase-cli", "description": "Operate Firebase from the terminal with `firebase-tools`: install/auth the CLI, bootstrap `firebase.json` / `.firebaserc`, run the Emulator Suite, deploy Hosting / Functions / rules / App Hosting, manage preview channels, and handle Firebase admin tasks like auth import/export, Remote Config, App Distribution, and Extensions. Use when the job is Firebase platform/project operation through the CLI. Triggers on: firebase deploy, firebase init, firebase emulators, firebase hosting, firebase functions, firebase firestore, firebase database, firebase auth import, firebase remote config, firebase app distribution, firebase extensions, firebase apphosting, firebase dataconnect, firebase cli, firebase-tools, deploy firebase, firebase preview channel, firebase login, firebase use, firebase target apply. Route backend AI workflow orchestration to `genkit` and direct in-app SDK integration to `genkit` (`client-ai-logic` mode).", "category": "infrastructure", "subcategory": "cloud-data", "interface": "cli", "path": "firebase-cli/SKILL.md", "tags": [ "firebase", "firebase-cli", "firebase-tools", "deploy", "hosting", "functions", "firestore", "database", "emulators", "auth", "remote-config", "app-distribution", "extensions", "apphosting", "dataconnect" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "firebase-cli", "version": "1.1", "source": "https://firebase.google.com/docs/cli" }, { "name": "unity-cli", "description": "Install, configure, and use the Unity Command Line Interface (CLI) for automated production workflows, project management, and cloud integration. Use when setting up CLI-based build automation, CI/CD pipelines, Editor/module management, authentication, or localhost API calls via the experimental Unity Pipeline package. Designed for verifiable, machine-readable game production workflows where the build machine must be describable and tests must return evidence. Triggers on: Unity CLI, unity command line, unity automation, unity ci/cd, unity build script, unity pipeline, unity production workflows.", "category": "infrastructure", "subcategory": "tooling", "interface": "cli", "path": "unity-cli/SKILL.md", "tags": [ "unity", "cli", "automation", "ci-cd", "build", "project-management", "cloud", "licensing", "production", "pipeline" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "unity-cli", "version": "1.1.0", "source": "https://unity.com/kr/blog/meet-the-unity-cli" }, { "name": "genkit", "description": "Route Firebase AI feature work into either direct app/client Firebase AI Logic SDK integration or a server-owned Genkit workflow. Use when a web, mobile, backend, or full-stack feature needs model calls, typed outputs, reusable flows, tools, retrieval, prompt files, evals, observability, or deployment. Choose client-ai-logic, flow-foundation, tool-and-agent, retrieval-and-prompt, evaluation-and-observability, deployment-runtime, or comparison-or-fallback; route Firebase platform/operator work to `firebase-cli` and broad framework comparisons to `survey`.", "category": "infrastructure", "subcategory": "cloud-data", "interface": "cli", "path": "genkit/SKILL.md", "tags": [ "genkit", "firebase", "ai-workflows", "flows", "tool-calling", "rag", "evaluation", "observability", "cloud-run", "fullstack", "backend" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "genkit", "version": "2.1", "source": "Firebase Genkit docs + Genkit official docs" }, { "name": "looker-studio-bigquery", "description": "Route BigQuery-backed Looker Studio work into one stakeholder-reporting packet: dashboard-spec, slow-dashboard triage, refresh-shape choice, audience split, or exec-handoff. Use when the user needs KPI boards, PM/ops reviews, marketing / GTM reporting, product funnel summaries, or game/live-ops telemetry dashboards on top of curated BigQuery data. Route KPI explanation to `data-analysis`, repeated anomaly hunting to `pattern-detection`, telemetry/alerting coverage to `monitoring-observability`, and semantic-platform choice to `survey`.", "category": "infrastructure", "subcategory": "cloud-data", "interface": "workflow", "path": "looker-studio-bigquery/SKILL.md", "tags": [ "looker-studio", "data-studio", "bigquery", "dashboard", "kpi", "analytics", "reporting", "marketing", "pm-ops", "live-ops", "bi-engine" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "looker-studio-bigquery", "version": "2.1.0" }, { "name": "implement-fog-of-war", "description": "Implement, tune, debug, or validate soft wall-aware fog of war and gameplay perception in Three.js action games. Use for orthographic or isometric visibility masks, obstacle-aware line of sight, player and enemy vision ranges, hidden-enemy targeting rules, fog shader artifacts such as spokes or seams, mobile ray budgets, lifecycle and menu-state integration, and deterministic fog-of-war tests.", "category": "game", "subcategory": "client", "interface": "library", "path": "implement-fog-of-war/SKILL.md", "tags": [ "implement", "fog", "war", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "implement-fog-of-war", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/implement-fog-of-war" }, { "name": "unity-gamedev-skill-pack", "description": "Evaluate and adopt Unity game-development skill packs from external repositories into a safe, reusable local package. Use when maintainers want to import game-dev workflows (Addressables, Cinemachine, GAS, VContainer, UniTask, Wwise, etc.) without blindly trusting third-party prompts.", "category": "game", "subcategory": "client", "interface": "workflow", "path": "unity-gamedev-skill-pack/SKILL.md", "tags": [ "unity", "game-development", "skill-curation", "claude-code", "repository-maintenance" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "unity-gamedev-skill-pack", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "agentic-gamedev-skills", "description": "Discover, select, and safely install focused skills from abagames/agentic-gamedev-skills. Use when a user explicitly wants that upstream collection, needs to choose among its mini-game design, Godot, crisp-game-lib, presentation, telemetry, or agent-workflow skills, or wants a pinned selective bundle install. Triggers on: agentic-gamedev-skills, abagames skills, install gamedev skill bundle, designing-mini-games, or upstream game skill inventory.", "category": "game", "subcategory": "web", "interface": "workflow", "path": "agentic-gamedev-skills/SKILL.md", "tags": [ "game-development", "agent-skills", "godot", "browser-games", "skill-installer", "abagames" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "agentic-gamedev-skills", "version": "1.0.0", "source": "https://github.com/abagames/agentic-gamedev-skills" }, { "name": "web-game-development", "description": "Route Three.js and browser game-development requests into the narrowest matching sub-skill of the 19-skill MengTo/Skills game-development family \u2014 level authoring, map editing, cameras, enemy systems and AI, monster rigs, action combat, encounter design, inventory, hybrid/Vesperfall assets, VFX, audio feedback, mobile controls, performance tuning, QA, changelogs, and release. Use when a task touches any of those for a playable web game, and fetch the matching sub-skill before doing the work instead of improvising. Route Unity/C# engine work to `unity-gamedev-skill-pack` instead. Triggers on: three.js game, browser game, webgl game, isometric arpg, enemy AI, game camera, game inventory, game VFX, game audio feedback, ship web game, playtest web game, mobile threejs game, game encounter design, monster rig, hybrid game assets.", "category": "game", "subcategory": "web", "interface": "library", "path": "web-game-development/SKILL.md", "tags": [ "game-development", "three.js", "webgl", "browser-games", "skill-routing", "skill-pack", "mengto-skills" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "web-game-development", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/game-development" }, { "name": "bmad-gds", "description": "AI-driven Game Development Studio (BMAD-GDS). Routes game projects through Pre-production, Design, Architecture, Production, and Game Testing phases using 6 specialized agents. Supports Unity, Unreal Engine, Godot, and custom engines.", "category": "game", "subcategory": "design-ui", "interface": "workflow", "path": "bmad-gds/SKILL.md", "tags": [ "bmad", "gds", "game-development", "game-production", "gdd", "milestone-planning", "playtesting", "launch-ops", "orchestration" ], "platforms": [ "Claude", "Gemini", "Codex", "OpenCode" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "bmad-gds", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "open-design-game-ui-concept", "description": "Prepare, generate, and review game UI concepts through the local nexu-io/Open Design app using real runtime screenshots and project assets. Use when Codex must design or redesign Darkbone Archer UI for phone, tablet, desktop, Steam, controller, or multiple locales; create an Open Design handoff/project; drive a local Codex design run; inspect an Open Design HTML artifact; or complete a design-first approval loop before runtime implementation.", "category": "game", "subcategory": "design-ui", "interface": "workflow", "path": "open-design-game-ui-concept/SKILL.md", "tags": [ "open-design", "game-ui", "design-concept", "game-development", "interactive-lab" ], "platforms": [ "Claude", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "WebFetch" ], "keyword": "open-design-game-ui-concept", "version": "1.0" }, { "name": "open-design-game-ui-handoff", "description": "Build and validate Open Design handoffs from the real Darkbone Archer runtime \u2014 game UI (upgrade-only preservation contracts) AND VFX/skill/RIG design packages. Use whenever Codex must prepare, regenerate, or audit an Open Design handoff; feed an existing Claude Design handoff zip into Open Design; collect current screenshots, animation videos, keyframes, source anchors, assets, responsive states, or preservation boundaries; or prevent a standalone concept from deleting existing identity, motion, interaction, copy, or data that it does not show.", "category": "game", "subcategory": "design-ui", "interface": "workflow", "path": "open-design-game-ui-handoff/SKILL.md", "tags": [ "open-design", "game-design", "handoff", "preservation-contract", "game-development" ], "platforms": [ "Claude", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "WebFetch" ], "keyword": "open-design-game-ui-handoff", "version": "1.0" }, { "name": "open-design-game-ui-takeover", "description": "Take over an approved Open Design artifact (game UI, VFX, skill, RIG, enemy/boss) into Darkbone Archer without degrading the runtime. Use whenever Codex must analyze, port, integrate, or review an Open Design standalone; apply a responsive Home, Map Select, Talent, Mask, Fusion, Victory, or settlement design; port an Open Design VFX/RIG lab into Phaser; preserve existing animations omitted by a mockup; or prove current-runtime vs standalone vs integrated-runtime fidelity before merge.", "category": "game", "subcategory": "design-ui", "interface": "workflow", "path": "open-design-game-ui-takeover/SKILL.md", "tags": [ "open-design", "game-development", "integration", "fidelity-gate", "phaser" ], "platforms": [ "Claude", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "WebFetch" ], "keyword": "open-design-game-ui-takeover", "version": "1.0" }, { "name": "rfxgen", "description": "Generate, convert, preview, and integrate retro game sound effects with raysan5/rfxgen. Use when a user needs coin, laser, explosion, power-up, hit, jump, or blip SFX; wants `.rfx` parameters converted to WAV/raw/C headers; needs batch CLI generation; or must build and troubleshoot rFXGen. Triggers on: rFXGen, rfxgen, sfxr, chiptune SFX, .rfx, procedural game sound, or sound preset.", "category": "game", "subcategory": "audio", "interface": "cli", "path": "rfxgen/SKILL.md", "tags": [ "game-development", "audio", "sound-effects", "procedural-audio", "raylib", "cli" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "rfxgen", "version": "1.0.0", "source": "https://github.com/raysan5/rfxgen" }, { "name": "animato", "description": "Drive Animato (github.com/otdnnc/Animato) as an API-key agent loop that turns a rigged .fbx/.gltf model plus a plain-text motion request into a baked animation: upload the model, build the bpy prompt, spend one LLM call with your own key, gate the generated script, run it headless, and verify the animated output. Use when the user wants text-to-animation for a 3D character, an unattended animation pipeline driven by a Gemini or OpenAI-compatible API key, or help operating a local Animato server. Triggers on: animato, text to animation, animate a rigged model, bpy animation script, blender headless keyframe, /api/chat animation, character motion from a prompt, GEMINI_API_KEY animation.", "category": "game", "subcategory": "animation", "interface": "workflow", "path": "animato/SKILL.md", "tags": [ "game-development", "animation", "blender", "bpy", "3d", "agent-loop", "api-key" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "animato", "version": "1.0.0", "source": "https://github.com/otdnnc/Animato" }, { "name": "unirig", "description": "Automatically rig 3D models with UniRig (VAST-AI-Research, SIGGRAPH'25) \u2014 predict a skeleton, predict skinning weights, and merge the rig back onto the original mesh. Use when the user wants auto-rigging for .obj/.fbx/.glb/.gltf/.dae/.vrm assets, a skeleton or skin weights for a character or creature, a UniRig environment prepared on a CUDA machine, batch rigging of a model directory, or an honest comparison between UniRig, SkinTokens, Tripo, Mixamo, AccuRig, and Blender Rigify. Triggers on: unirig, auto rig, auto-rigging, 3D rigging, skeleton prediction, skinning weights, rig a character, armature generation, rigged glb, rigged fbx, bone weights.", "category": "game", "subcategory": "animation", "interface": "cli", "path": "unirig/SKILL.md", "tags": [ "unirig", "3d-rigging", "auto-rigging", "skeleton-prediction", "skinning-weights", "blender", "fbx", "glb", "vrm", "character-animation", "game-art", "pytorch" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "unirig", "version": "1.0", "source": "https://github.com/VAST-AI-Research/UniRig" }, { "name": "dalamud-vfx-editor", "description": "Install, operate, and troubleshoot 0ceal0t/Dalamud-VFXEditor for user-owned Final Fantasy XIV visual-effect, animation, sound, physics, UI, texture, material, model, and shader files. Use when a user asks about `/vfxedit`, AVFX, PAP, TMB, SCD, Dalamud plugin setup, effect replacement, export handoff, beta repositories, or VFXEditor source builds. Triggers on: Dalamud VFXEditor, /vfxedit, .avfx, .pap, .tmb, .scd, FFXIV VFX mod, or VFXEditor beta.", "category": "game", "subcategory": "motion-vfx", "interface": "desktop", "path": "dalamud-vfx-editor/SKILL.md", "tags": [ "game-development", "ffxiv", "dalamud", "vfx", "modding", "asset-editor" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "dalamud-vfx-editor", "version": "1.0.0", "source": "https://github.com/0ceal0t/Dalamud-VFXEditor" }, { "name": "game-vfx", "description": "Design, implement, budget, and verify readable real-time game visual effects: particles, smoke/fog, lightning, fire, trails, impacts, bloom/glow, and layered spell timelines. Use when a user needs a VFX spec, lifecycle, engine handoff, particle pooling, effect composition, reduce-motion fallback, or frame-budget diagnosis. Triggers on: game VFX, spell effects, particle system, impact burst, procedural lightning, smoke, bloom, magic aura, or VFX performance.", "category": "game", "subcategory": "motion-vfx", "interface": "workflow", "path": "game-vfx/SKILL.md", "tags": [ "game-development", "vfx", "particles", "shaders", "performance", "accessibility" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "game-vfx", "version": "1.0.0", "source": "https://github.com/lev-os/agents" }, { "name": "perfectpixel", "description": "AI \uc560\ub2c8\uba54\uc774\uc158 \uc2a4\ud504\ub77c\uc774\ud2b8 \uc0dd\uc131. \ud14d\uc2a4\ud2b8 \uc124\uba85 \ud55c \uc904\ub85c \uce90\ub9ad\ud130 + \ub3d9\uc791 \uc560\ub2c8\uba54\uc774\uc158(\uac77\uae30\u00b7\ub2ec\ub9ac\uae30\u00b7\uacf5\uaca9\u00b7\ub9c8\ubc95 \ub4f1 100\uc5ec \uc885) + 8\ubc29\ud5a5 \uc2a4\ud504\ub77c\uc774\ud2b8 \uc138\ud2b8\ub97c \ub9cc\ub4e4\uace0, \uac8c\uc784 \uc5d4\uc9c4\uc6a9 \ubc88\ub4e4(\uc2a4\ud504\ub77c\uc774\ud2b8\uc2dc\ud2b8 \u00b7 manifest.json \u00b7 Aseprite JSON \u00b7 \uc0c1\ud0dc\ubcc4 GIF/APNG \u00b7 \uac1c\ubcc4 \ud504\ub808\uc784 PNG)\ub85c \ub0b4\ubcf4\ub0c5\ub2c8\ub2e4. Use when the user wants to generate game sprites, character animations, sprite sheets, sprite atlases, or 8-direction sprite sets from a text description. Triggers on: perfectpixel, ppgen, sprite generation, character animation, sprite sheet, sprite atlas, 8-direction sprite, god-tibo-imagen sprite, gemini sprite.", "category": "game", "subcategory": "sprite-image", "interface": "workflow", "path": "perfectpixel/SKILL.md", "tags": [ "game-development", "sprite-generation", "pixel-art", "character-animation", "sprite-sheet", "god-tibo-imagen", "gemini", "wails", "go" ], "platforms": [ "Claude Code", "Codex", "Gemini CLI", "OpenCode", "All" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "perfectpixel", "version": "1.0.0", "source": "gykim80/perfectpixel-studio" }, { "name": "game-studio-harness", "description": "Five-role game production studio harness: director, numeric-balance designer, revenue-band PM, verification-strict programmer, archetype-rotation QA. Runs the 3-stage operating cycle (concept/presentation/core build \u2192 balance/core-loop/novelty \u2192 ops stability/play impact) behind 8 numeric quality gates with survey-grounded trends, signed designer\u2194PM negotiation records, and QA broadcast discipline. Writes the repository rule file (CLAUDE.md/AGENTS.md) so the contract outlives the session, and keeps one live `_workspace/current/` beside a read-only archive.", "category": "game", "subcategory": "tooling", "interface": "workflow", "path": "game-studio-harness/SKILL.md", "tags": [ "game-production", "game-studio", "bmad-gds", "numeric-balance", "core-loop", "novelty", "monetization", "qa-archetypes", "stage-gates", "repo-rules", "artifact-contract" ], "platforms": [ "Claude Code", "Codex", "Gemini", "OpenCode" ], "allowed_tools": [ "Read", "Write", "Edit", "Glob", "Grep", "Bash", "Task" ], "keyword": "game-studio-harness", "version": "1.1.0", "source": "akillness/jeo-skills" }, { "name": "underworld-overseer-save-mapper", "description": "Inspect Underworld Overseer JSON saves and generate or troubleshoot interactive dungeon maps with RobThePCGuy/Underworld-Overseer-Save-Mapper. Use when a user wants to validate a save's Map records, visualize room coordinates and DescriptorID values, install the mapper, or diagnose empty/broken HTML output. Triggers on: Underworld Overseer save, dungeon save map, DescriptorID, Map JSON, Underworld Overseer mapper, or save-to-HTML.", "category": "game", "subcategory": "tooling", "interface": "workflow", "path": "underworld-overseer-save-mapper/SKILL.md", "tags": [ "game-development", "save-files", "json", "map-visualization", "underworld-overseer" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "underworld-overseer-save-mapper", "version": "1.0.0", "source": "https://github.com/RobThePCGuy/Underworld-Overseer-Save-Mapper" }, { "name": "game-build-log-triage", "description": "Triage Unity and Unreal Engine editor, build, package, cook, compile, and CI logs into the first actionable failure, likely subsystem, and next debugging steps. Use when a game project fails to build, cook, package, import assets, compile scripts/code, or throws noisy editor/runtime errors, even if the user only shares raw log text or says \"Unity build failed\", \"Unreal cook error\", \"Editor.log\", \"UHT/UBT failed\", or \"packaging started breaking after asset moves\".", "category": "game", "subcategory": "qa-performance", "interface": "workflow", "path": "game-build-log-triage/SKILL.md", "tags": [ "game-development", "unity", "unreal", "logs", "debugging", "build-failures", "ci", "triage" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "game-build-log-triage", "version": "1.0", "source": "akillness/jeo-skills" }, { "name": "game-demo-feedback-triage", "description": "Triage mixed game demo and playtest feedback into a prioritized fix brief, weighted evidence summary, and next artifact recommendation. Use when a team has playtest notes, Steam Playtest responses, creator or streamer demo reactions, survey comments, wishlist/context signals, bug lists, or performance findings and needs to decide what to fix first before the next build, festival, or launch beat, even if they only say \"sort our playtest feedback\", \"what should we fix before Next Fest\", \"players are confused\", \"streamers bounced off the demo\", or \"turn these demo notes into priorities\".", "category": "game", "subcategory": "qa-performance", "interface": "library", "path": "game-demo-feedback-triage/SKILL.md", "tags": [ "game-development", "playtesting", "demo-feedback", "steam-playtest", "next-fest", "prioritization", "ux", "qa", "launch-ops" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "game-demo-feedback-triage", "version": "1.0", "source": "akillness/jeo-skills" }, { "name": "game-performance-profiler", "description": "Route Unity and Unreal frame-time complaints into one bottleneck-first profiling brief. Use when the main job is interpreting profiler screenshots, `stat unit` / `stat gpu` output, benchmark-route complaints, or Steam Deck / target-device review packets; choosing the smallest useful next capture; naming one primary bottleneck family; and deciding whether to stay with quick packets, move to an engine-native profiler, or escalate further. Route generic app/service tuning to `performance-optimization`, build/editor/package failures to `game-build-log-triage`, broader game-production coordination to `bmad-gds`, and mixed demo/community feedback to `game-demo-feedback-triage`.", "category": "game", "subcategory": "qa-performance", "interface": "workflow", "path": "game-performance-profiler/SKILL.md", "tags": [ "game-development", "unity", "unreal", "profiling", "performance", "optimization", "frame-time", "steam-deck" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "game-performance-profiler", "version": "1.2", "source": "akillness/jeo-skills" }, { "name": "wai-play", "description": "Route web-game auto-playtesting with WAI Play (waiterve/wai-play): decide whether the next move is a testability check, authoring or repairing the `GameFlowAgentAPI` bridge, running a real browser playtest, reading the five-dimension quality report, or unblocking a key node the agent cannot reach. Use when the user wants an AI agent to actually play their HTML5 / canvas / vibe-coded web game and return reproducible evidence, scores, and fix suggestions across the five supported types (survivor-like, arcade shooter, platformer, puzzle/card, visual novel). Triggers on: wai-play, WAI Play, auto-playtest, AI plays my game, web game testing agent, GameFlowAgentAPI, GameFlowIntegration, jumpToScenario, game quality score, playtest evidence. Route Unity/Unreal frame-time work to `game-performance-profiler`, engine build failures to `game-build-log-triage`, human playtest notes to `game-demo-feedback-triage`, and generic browser automation to `browser-harness`.", "category": "game", "subcategory": "qa-performance", "interface": "workflow", "path": "wai-play/SKILL.md", "tags": [ "wai-play", "web-game-testing", "auto-playtest", "game-qa", "playwright", "streamlit", "gameflow-agent-api", "evidence", "game-scoring", "html5-game" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "wai-play", "version": "1.0", "source": "https://github.com/waiterve/wai-play" }, { "name": "game-ci-cd-pipeline", "description": "Turn messy Unity or Unreal build/release automation into one bounded game-pipeline packet after naming the signal tier first: fast branch-gate CI, nightly/package- candidate builds, or release/certification candidates. Use when a game team needs to design or repair GitHub Actions, Unity Build Automation, Jenkins, TeamCity, or similar CI for engine builds \u2014 especially when they mention flaky packaging, cache superstition, giant build-job blobs, slow cook / package cycles, artifact confusion, SDK/signing drift, or manual candidate promotion that should become reproducible. Route one red log first-pass diagnosis to `game-build-log-triage`.", "category": "game", "subcategory": "release", "interface": "library", "path": "game-ci-cd-pipeline/SKILL.md", "tags": [ "game-development", "unity", "unreal", "ci-cd", "github-actions", "build-pipeline", "release-engineering", "release-candidates" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "game-ci-cd-pipeline", "version": "1.2.0", "source": "akillness/jeo-skills" }, { "name": "steam-store-launch-ops", "description": "Turn Steam store-page, wishlist, demo, Next Fest, and launch-window ambiguity into one packet-first Steam launch brief. Use when an indie dev, small studio, founder-marketer, or publisher helper needs to decide whether the next move is a page-promise audit, wishlist-signal check, demo-readiness gate, event-timing workback, or launch-ops runbook \u2014 especially when they say \"help my Steam page\", \"wishlists are weak\", \"is our demo ready\", \"should we do Next Fest\", or \"give me a Steam launch checklist\". Route broad non-game GTM work to `marketing-automation` and player-feedback/build-performance issues to the game specialist skills.", "category": "game", "subcategory": "release", "interface": "workflow", "path": "steam-store-launch-ops/SKILL.md", "tags": [ "steam", "indie-games", "game-marketing", "launch-ops", "next-fest", "wishlists", "store-page", "demos" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "steam-store-launch-ops", "version": "1.2", "source": "akillness/jeo-skills" }, { "name": "aura-asset-images", "description": "Use when you need high-quality stock-style images from Aura Assets (aura.build/assets) similar to Unsplash for design mockups and marketing: backgrounds, abstract wallpapers, architecture, portraits, and headshots. Includes a workflow for searching by tag on aura.build/assets and returns 5 real image URLs per category plus practical guidance for using different resolutions and aspect ratios.", "category": "creative-media", "subcategory": "image", "interface": "workflow", "path": "aura-asset-images/SKILL.md", "tags": [ "aura", "asset", "images", "mengto-skills", "stock-images", "design-assets" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "aura-asset-images", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/media/aura-asset-images" }, { "name": "generate-reference-inspired-brand-worlds", "description": "Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. Use when a user provides a brand identity image, poster, editorial campaign, moodboard, or generated concept and asks for inspired alternatives, several distinct brands in one visual family, a closer-to-reference V2, exact wordmarks inside images, or originality-safe image-generation prompts and outputs.", "category": "creative-media", "subcategory": "image", "interface": "workflow", "path": "generate-reference-inspired-brand-worlds/SKILL.md", "tags": [ "generate", "reference", "inspired", "brand", "worlds", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "generate-reference-inspired-brand-worlds", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/generate-reference-inspired-brand-worlds" }, { "name": "god-tibo-imagen", "description": "Generate images using Codex's ChatGPT backend with zero production dependencies. Reuses existing local Codex authentication (~/.codex/auth.json) \u2014 no new credentials needed. Supports CLI (gti command), Node.js library, and Python SDK. Accepts text prompts with optional reference images (PNG/JPG/GIF/WebP). Includes dry-run mode and debug output. Triggers on: god-tibo-imagen, gti, image generation, codex image, chatgpt image, ai image, gpt image generation.", "category": "creative-media", "subcategory": "image", "interface": "cli", "path": "god-tibo-imagen/SKILL.md", "tags": [ "image-generation", "ai-image", "codex", "chatgpt", "gti", "cli", "npm", "python", "multimodal" ], "platforms": [ "Claude Code", "Codex CLI", "Gemini CLI", "OpenCode" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob", "WebFetch" ], "keyword": "god-tibo-imagen", "version": "latest", "source": "NomaDamas/god-tibo-imagen" }, { "name": "paperbanana", "description": "Route academic-figure work into the lightest workable PaperBanana mode instead of jumping straight to a full multi-agent generation run. Use when the user needs publication-quality methodology diagrams, statistical plots, figure evaluation, polishing an existing figure, batch/sweep generation, or a full-paper figure package from text or PDF. Even if the user does not say \"paperbanana\" \u2014 also triggers on: academic figure, methodology diagram, publication figure, generate diagram from paper, statistical plot from CSV, figure evaluation, polish figure, NeurIPS/ICML figure, arxiv illustration, plan-then-refine diagram pipeline.", "category": "creative-media", "subcategory": "image", "interface": "cli", "path": "paperbanana/SKILL.md", "tags": [ "paperbanana", "academic-figures", "diagram-generation", "statistical-plots", "multi-agent", "vlm-as-judge", "mcp", "cli", "publication", "python" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "paperbanana", "version": "1.0", "source": "https://github.com/llmsresearch/paperbanana" }, { "name": "unsplash-asset-images", "description": "Use when you need to pick high-quality Unsplash images for product/design assets (avatars, headshots, portraits, large website backgrounds, and abstract wallpapers) and output real Unsplash URLs plus practical instructions for producing the right resolutions and aspect ratios (1:1, 4:5, 3:4, 16:9, 9:16).", "category": "creative-media", "subcategory": "image", "interface": "workflow", "path": "unsplash-asset-images/SKILL.md", "tags": [ "unsplash", "asset", "images", "mengto-skills", "stock-images", "design-assets" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "unsplash-asset-images", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/media/unsplash-asset-images" }, { "name": "browser-video-recording", "description": "Create polished 60 fps 4:3 4K browser screen-recording style videos from Codex in-app browser captures, with browser-only crop, natural macOS cursor styling, deliberate click choreography, zoom-follow framing, ffprobe/thumbnail verification, and optional native recording compatibility checks. Use when the user asks to record or re-record browser actions, show cursor clicks and zooms, make Dribbble/UI inspiration or product demo recordings, or asks whether Codex, Playwright, or an MCP can produce a natural browser demo video.", "category": "creative-media", "subcategory": "video", "interface": "mcp", "path": "browser-video-recording/SKILL.md", "tags": [ "browser", "video", "recording", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "browser-video-recording", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/browser-video-recording" }, { "name": "gbro-collage-broll", "description": "Turn a 5-second voiceover script, opinion statement, or abstract concept into an editorial halftone paper-collage assemble-from-empty B-roll video. Use when the user requests \"collage b-roll\", \"paper collage B-roll\", \"halftone collage\", \"collage video\", \"gbro-collage-broll\", or asks to convert voiceover lines into animated editorial collage visual metaphors. Enforces a 3-gate approval workflow (metaphor confirmation -> still frame confirmation -> video generation via Gemini Omni Flash).", "category": "creative-media", "subcategory": "video", "interface": "workflow", "path": "gbro-collage-broll/SKILL.md", "tags": [ "video-generation", "b-roll", "paper-collage", "halftone", "gemini-omni-flash", "editorial-animation" ], "platforms": [ "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "gbro-collage-broll", "version": "1.0" }, { "name": "opencut", "description": "Work with the OpenCut open-source video editor repo (github.com/OpenCut-app/OpenCut) \u2014 clone/setup, run the web/desktop dev servers, understand the Rust/WASM compositor core, and follow current contribution focus areas. Use when the user asks about OpenCut, the \"open-source CapCut alternative\", opencut-classic, setting up the OpenCut monorepo (moon/proto or Bun/Docker), the OpenCut Rust core, or contributing a PR to OpenCut. Also triggers on \"opencut.app\", \"new.opencut.app\", and \"opencut-app/opencut-classic\".", "category": "creative-media", "subcategory": "video", "interface": "desktop", "path": "opencut/SKILL.md", "tags": [ "opencut", "video-editor", "capcut-alternative", "rust", "wasm", "nextjs", "bun", "moonrepo", "open-source" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "opencut", "version": "1.0", "source": "OpenCut-app/OpenCut" }, { "name": "remotion-video-production", "description": "Compatibility alias for `video-production` when a prompt, setup surface, or legacy workflow explicitly asks for Remotion video production. Use when the request names Remotion, React-based video rendering, compositions, scene components, or a legacy `remotion-video-production` catalog entry, but the real workflow is still the canonical programmable-video lane. Prefer `video-production` for general use. Triggers on: remotion-video-production, Remotion render pipeline, React video composition, migrate old Remotion skill.", "category": "creative-media", "subcategory": "video", "interface": "library", "path": "remotion-video-production/SKILL.md", "tags": [ "video", "remotion", "alias", "compatibility", "automation" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Write", "Read", "WebSearch", "WebFetch", "Task" ], "keyword": "remotion-video-production", "version": "2.0" }, { "name": "video-production", "description": "Plan and route programmable or automated video production across code-first, template-first, and hybrid content pipelines. Use when the user needs repeatable video generation, branded short-form content, personalized videos, social clip batches, captioned/localized variants, video APIs, or video creation from data and templates \u2014 even if they only say video production. Triggers on: Remotion, programmatic video, automated video creation, video API, personalized video, batch-create shorts, render videos from code, repurpose content into clips.", "category": "creative-media", "subcategory": "video", "interface": "library", "path": "video-production/SKILL.md", "tags": [ "video", "automation", "remotion", "short-form", "content-ops", "templates", "react" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Write", "Read", "WebSearch", "WebFetch", "Task" ], "keyword": "video-production", "version": "2.0" }, { "name": "video-shotcraft", "description": "\u7528\u955c\u5934\u914d\u65b9\u5361 + \u5df2\u9a8c\u6536\u6a21\u677f + \u4ee3\u7801/\u97f3\u9891\u8d44\u4ea7\u5236\u4f5c\u7535\u5f71\u611f\u4ea7\u54c1\u89c6\u9891\uff08Remotion + \u771f\u5b9e\u9875\u9762\u622a\u56fe + 2.5D \u8fd0\u955c + \u8282\u594f\u5361\u70b9 + \u58f0\u97f3\u8bbe\u8ba1\uff09\u3002 Use when making a cinematic product promo or desktop demo video, naming the Ink Press template, reproducing template video effects, or building single motion-design shots with recipe cards. Triggers on: video-shotcraft, Ink Press template, product video, cinematic promo, shot recipe card, remotion video.", "category": "creative-media", "subcategory": "video", "interface": "workflow", "path": "video-shotcraft/SKILL.md", "tags": [ "video-production", "remotion", "motion-design", "product-promo", "shot-cards", "cinematic-video" ], "platforms": [ "Claude Code", "Codex", "Gemini CLI", "OpenCode" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "video-shotcraft", "version": "1.0" }, { "name": "video-to-superprompt", "description": "Turn a reference video into a super detailed recreation or inspiration prompt. Use when the user provides, mentions, uploads, links, or points to a video and asks to analyze the design, UI, animations, transitions, scroll interactions, typography, colors, assets, WebGL/Three.js, storytelling, section-by-section behavior, or to create a prompt/article that recreates the page, app, interaction, or motion system.", "category": "creative-media", "subcategory": "video", "interface": "library", "path": "video-to-superprompt/SKILL.md", "tags": [ "video", "superprompt", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "video-to-superprompt", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/video-to-superprompt" }, { "name": "vox-director", "description": "Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg \u2014 script, collage keyframes, motion, voice-over, music, captions, all automated. Use this whenever the user wants a \"Vox style\" video, a paper/torn-paper collage animation, a \"motion collage\", a narrated explainer or short ad built from AI-generated collage posters, a scrapbook-style tribute, or wants to turn a topic / product / person into a punchy narrated collage video \u2014 even if they don't say the word \"Vox\". Also use when reproducing Stav Zilber / rom1trs / Higgsfield-style collage ad workflows, or when the user asks for a motion collage or a scrapbook-style tribute. Triggers: \"vox video\", \"collage video\", \"motion collage\", \"paper collage explainer\", \"make a collage ad\", \"turn this topic into a collage video\".", "category": "creative-media", "subcategory": "video", "interface": "workflow", "path": "vox-director/SKILL.md", "tags": [ "vox-director", "vox-video", "collage-video", "motion-collage", "paper-collage", "explainer-video", "atlas-cloud", "ffmpeg" ], "platforms": [], "allowed_tools": [], "keyword": "vox-director", "version": "1.0.0" }, { "name": "video-motion-previs", "description": "Install and drive Motion Previs Studio v4 from the `video-motion-previs` CLI to turn reference video into pose, depth, camera-motion, control-layer, and AI-video/Blender production packs. Use when an agent must check or install the desktop app, import and trim a shot, run motion analysis, export a bundle, inspect its files, capture the app, or send a layer to Blockout. Triggers on: Motion Previs Studio, video motion previs, camera solve, pose extraction, OpenPose BODY_25, depth control video, production pack, motion-previs MCP.", "category": "creative-media", "subcategory": "motion", "interface": "cli", "path": "video-motion-previs/SKILL.md", "tags": [ "video-motion", "previsualization", "ai-video", "pose-extraction", "depth", "camera-motion", "openpose", "control-layers", "cli", "mcp" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "video-motion-previs", "version": "2.0.0", "source": "https://github.com/wassermanproductions/motion-previs-studio" }, { "name": "elevenlabs-tts", "description": "Generate ElevenLabs text-to-speech audio from scripts or inline text using local voice profiles. Use when the user asks for ElevenLabs, text-to-speech, TTS, narration, voiceover, speech audio, or voice generation; load voice names, voice ids, emails, owners, and account-specific defaults only from local config outside the skill.", "category": "creative-media", "subcategory": "audio", "interface": "workflow", "path": "elevenlabs-tts/SKILL.md", "tags": [ "elevenlabs", "tts", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "elevenlabs-tts", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/elevenlabs-tts" }, { "name": "presentation-builder", "description": "Build real deck artifacts when the user needs editable slides, not just prose: investor decks, roadmap/QBR decks, launch decks, architecture/demo decks, workshop/training decks, and game pitch or milestone decks. Use when the job is to choose one deck mode, one smallest useful artifact packet, and one honest handoff surface (HTML review, PPTX, PDF, Google Slides, or Figma Slides). Triggers on: presentation, slide deck, slides, pitch deck, roadmap deck, investor deck, launch deck, architecture review deck, demo deck, workshop slides, keynote, board deck, QBR deck, and game pitch deck. Route long-form docs to `technical-writing`, end-user tutorials to `technical-writing`, research manuscripts to `research-paper-writing`, and broad marketing planning to `marketing-automation`.", "category": "creative-media", "subcategory": "presentation", "interface": "workflow", "path": "presentation-builder/SKILL.md", "tags": [ "presentation", "slides-grab", "pitch-deck", "roadmap-deck", "investor-deck", "demo-deck", "pptx", "pdf", "html-slides", "storytelling" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "presentation-builder", "version": "2.1.0" }, { "name": "drawio", "description": "Turn natural-language descriptions into editable `.drawio` diagrams and export them to PNG / SVG / PDF / JPG via the native draw.io desktop CLI, or turn an existing codebase (Python / JS-TS / Go / Rust) into an auto-laid-out structure diagram. Wraps Agents365-ai/drawio-skill: 6 diagram presets (ERD, UML class, sequence, architecture, ML/DL, flowchart), search across 10,000+ official AWS/Azure/GCP/Cisco/K8s/UML/ BPMN shapes, 321 AI/LLM brand logos, vision self-check + auto-fix, and a 5-round iterative refinement loop. No MCP server, no daemon \u2014 runs from a single SKILL.md and the draw.io CLI. Use when the user wants polished, precise, exportable diagrams or wants to visualize code structure. Triggers on: drawio, draw.io, drawio diagram, architecture diagram, ERD, UML diagram, sequence diagram, flowchart, network diagram, visualize codebase, code structure diagram, class hierarchy, export diagram png/svg/pdf, AWS/Azure/GCP icon, draw.io shapes.", "category": "creative-media", "subcategory": "diagram", "interface": "cli", "path": "drawio/SKILL.md", "tags": [ "drawio", "diagram", "erd", "uml", "flowchart", "architecture-diagram", "sequence-diagram", "code-visualization", "shape-search", "ai-logos", "export", "plugin" ], "platforms": [ "Claude", "Codex", "Gemini", "Cursor", "Copilot", "OpenClaw", "All" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "drawio", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "open-design", "description": "Route design-generation work into the right Open Design workflow mode \u2014 prototype, deck, document, or media artifact. Use when the user needs local-first UI prototype generation, presentation deck creation, or design-system-aware HTML/PDF/PPTX artifacts via locally-installed coding agents. Supports 72 built-in design systems, 5 visual directions, 93 media prompt templates, and multi-format export. Triggers on: open-design, local design tool, prototype generation, design deck, design artifact, design agent workflow, open design prototype, design system artifact, UI prototype generation.", "category": "creative-media", "subcategory": "design", "interface": "desktop", "path": "open-design/SKILL.md", "tags": [ "open-design", "design-tool", "local-first", "prototype", "deck", "ui-generation", "multi-format", "design-system", "media-generation", "html-export", "pptx-export" ], "platforms": [ "Claude", "Gemini", "Codex", "ChatGPT" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "open-design", "version": "1.0", "source": "https://github.com/nexu-io/open-design" }, { "name": "webtoon-harness", "description": "Run an end-to-end webtoon production harness \u2014 a 27-agent / 4-phase Claude Code agent team that takes a single episode from trend research to a finished vertical-scroll viewer. Use when the user wants to produce a webtoon episode: research popular webtoon trends, write a dialogue-heavy, high-tension, twist-every-episode scenario, render character reference sheets first, render 50+ panels per episode with in-image speech-bubble (Korean dialogue) baking via codex-image, run a generation\u2013validation loop, and assemble a vertical-scroll viewer. Triggers on: webtoon harness, make a webtoon, produce a webtoon episode, webtoon scenario to image, next episode, redraw panel, stronger twist, webtoon trend research. Web data gathering for the trend-research phase routes through the `scrapling` skill. Pure webtoon recommendation/critique is answered directly.", "category": "creative-media", "subcategory": "storytelling", "interface": "workflow", "path": "webtoon-harness/SKILL.md", "tags": [ "webtoon", "agent-team", "multi-agent", "content-production", "codex-image", "panel-render", "trend-research", "scrapling", "vertical-scroll", "claude-code" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch", "Agent" ], "keyword": "webtoon-harness", "version": "1.0", "source": "https://github.com/revfactory/webtoon-harness" }, { "name": "caveman", "description": "Enables persistent ultra-compressed technical communication; use for explicit brevity or token-reduction requests, except where fragments risk safety or clarity.", "category": "cli-tools", "subcategory": "developer-cli", "interface": "cli", "path": "caveman/SKILL.md", "tags": [ "token-reduction", "communication", "brevity", "compression", "productivity" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "caveman", "version": "1.0", "source": "mattpocock/skills" }, { "name": "ccpi-marketplace", "description": "Operate the Tons of Skills marketplace via the ccpi CLI and Claude plugin marketplace commands. Use for searching installing listing and updating Claude Code plugin packs with reversible rollbacks.", "category": "cli-tools", "subcategory": "developer-cli", "interface": "cli", "path": "ccpi-marketplace/SKILL.md", "tags": [ "ccpi", "claude-code", "plugin-marketplace", "skills-marketplace", "cli", "package-management" ], "platforms": [ "Claude Code", "Codex", "Gemini CLI", "OpenCode" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob", "WebFetch" ], "keyword": "ccpi", "version": "latest", "source": "jeremylongshore/claude-code-plugins-plus-skills" }, { "name": "cli-anything", "description": "Make any software agent-native with HKUDS CLI-Anything \u2014 four routed modes: install ready-made harnesses via CLI-Hub (cli-hub list/search/info/install/launch), give agents the cli-hub-meta-skill for autonomous discovery, generate a new harness from any codebase/repo via the 7-phase /cli-anything pipeline, or iterate with :refine/:test/:validate; 40+ harnesses, 2,461 tests, Click CLIs with REPL + --json.", "category": "cli-tools", "subcategory": "developer-cli", "interface": "cli", "path": "cli-anything/SKILL.md", "tags": [ "cli-anything", "cli-hub", "agent-native", "computer-use", "cli-generation", "harness", "click", "repl", "json-output", "hkuds", "plugin" ], "platforms": [ "Claude", "Codex", "OpenCode", "OpenClaw", "Pi", "Hermes", "Copilot", "All" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "cli-anything", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "ghgrab", "description": "Search and download specific files/folders from GitHub repositories directly from terminal using ghgrab, without full clone. Covers install, interactive browsing, release asset download, and automation-safe usage patterns.", "category": "cli-tools", "subcategory": "developer-cli", "interface": "cli", "path": "ghgrab/SKILL.md", "tags": [ "ghgrab", "github", "cli", "file-download", "developer-productivity" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "ghgrab", "version": "1.0", "source": "https://github.com/abhixdd/ghgrab" }, { "name": "jeo-skill", "description": "Browse, group, relate, and selectively install the jeo-skills catalog through the lightweight `jeo-skill` CLI. Use when the user wants skills organized by web, infrastructure, game, creative media, CLI tools, AI/agents, engineering, research, business, or utilities; needs a frontend/backend/game-audio/game-VFX subcategory; wants overlapping skills connected instead of duplicated; or wants a category, bundle, or named skills installed without copying the full repository.", "category": "cli-tools", "subcategory": "developer-cli", "interface": "cli", "path": "jeo-skill/SKILL.md", "tags": [ "skill-management", "taxonomy", "selective-install", "categories", "deduplication", "cli" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "pretext", "description": "Fast, accurate, and comprehensive multiline text measurement and layout library for JavaScript/TypeScript \u2014 without DOM reflow. Use when the user needs to calculate paragraph heights, line counts, manual line layouts (text flowing around floated images), or rich text rendering (emoji, CJK, RTL) on DOM, Canvas, or SVG targets. Covers npm install, core API (prepare/layout, prepareWithSegments/layoutWithLines), and options (whiteSpace, wordBreak, letterSpacing). Triggers on: pretext, text measurement, text layout, paragraph height, line layout, text reflow, canvas text measurement, DOM reflow.", "category": "cli-tools", "subcategory": "developer-cli", "interface": "cli", "path": "pretext/SKILL.md", "tags": [ "pretext", "text-measurement", "text-layout", "typography", "canvas", "dom", "svg", "reflow", "multiline", "cjk", "emoji", "rich-text", "javascript", "typescript" ], "platforms": [ "Claude Code", "Codex CLI", "Gemini CLI", "OpenCode" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob", "WebFetch" ], "keyword": "pretext", "version": "latest", "source": "chenglou/pretext" }, { "name": "aider-cli-workflow", "description": "Runs a scope-locked, test-backed Aider coding loop with commit hygiene; use for local-repo AI pair-programming on one small feature or bug.", "category": "cli-tools", "subcategory": "ai-cli", "interface": "cli", "path": "aider-cli-workflow/SKILL.md", "tags": [ "aider", "cli", "ai-pair-programming", "git", "test-driven", "code-review" ], "platforms": [ "Claude", "Codex", "Gemini", "OpenCode" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "aider-cli-workflow", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "claudekit", "description": "Claude Code hook library \u2014 pre-built PreToolUse/PostToolUse hooks for common guardrails, auto-formatting, workflow automation", "category": "cli-tools", "subcategory": "ai-cli", "interface": "cli", "path": "claudekit/SKILL.md", "tags": [ "claude-code", "workflow", "plugin", "skills", "agents", "mcp", "hooks" ], "platforms": [ "Claude Code" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob", "WebFetch" ], "keyword": "claudekit", "version": "latest", "source": "duthaho/claudekit" }, { "name": "fabric", "description": "Routing-first Fabric operator skill for reusable named AI transforms over stdin, files, transcripts, notes, logs, and cleaned web text. Use when the user wants Fabric patterns, custom pattern packs, shell-pipe composition, or `fabric --serve` workflows \u2014 not generic one-off chat prompting, repo-aware coding, or fully deterministic automation.", "category": "cli-tools", "subcategory": "ai-cli", "interface": "cli", "path": "fabric/SKILL.md", "tags": [ "fabric", "patterns", "ai-prompts", "prompt-orchestration", "content-transforms", "cli", "piping", "summarize", "extract", "custom-patterns", "multi-provider" ], "platforms": [ "All platforms" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "fabric", "version": "2.1.0", "source": "Daniel Miessler Fabric README + REST API docs + GitHub issue survey (2026-04-18)" }, { "name": "ooo", "description": "Run the Ouroboros specification-first development loop: reduce ambiguity with a Socratic interview grounded in live git data (commits, churn, contributors), freeze an immutable seed/spec, render the execution plan through spec-kit (/speckit.plan \u2192 /speckit.tasks), execute against that contract through cli-anything agent-native CLI harnesses (cli-hub, --json evidence), verify before claiming success, and keep looping until completion is actually verified. Use when the user wants spec-first clarification, git-aware interviews, immutable requirements, drift-aware implementation, harness-driven execution, or a persistent completion loop that should keep going until tests / checks / acceptance criteria pass. Triggers on: ooo, ouroboros, interview, seed, run workflow, evaluate, evolve, ooo ralph, specification first, socratic interview, git-aware interview, ambiguity reduction, execution plan, cli harness execute, persistent completion.", "category": "cli-tools", "subcategory": "ai-cli", "interface": "cli", "path": "ooo/SKILL.md", "tags": [ "ooo", "ouroboros", "specification-first", "socratic", "interview", "seed", "evaluate", "evolve", "loop", "completion", "nine-minds", "double-diamond", "convergence", "drift", "multi-platform", "mcp", "plugin", "git-aware", "spec-kit", "execution-planning", "cli-anything", "cli-hub", "harness-execution" ], "platforms": [ "Claude Code", "Codex CLI", "Gemini CLI", "OpenCode" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob", "WebFetch", "Agent" ], "keyword": "ooo", "version": "0.29.0", "source": "Q00/ouroboros" }, { "name": "open-code-review", "description": "Run AI-powered code review through Alibaba's open-code-review (`ocr`) CLI instead of hand-reviewing diffs. Use when the user asks to review code, review a PR/MR, review staged/unstaged/untracked changes, review a single commit, compare two branches, or scan whole files for bugs, security issues, performance problems, and quality concerns. Picks the lightest invocation (workspace review, branch range, single commit, or full-file scan), passes business context via `--background`, classifies findings by priority, and optionally applies fixes. Triggers on: open code review, ocr review, ocr scan, alibaba code review, ai code review cli, review my changes, review this pr, review this commit, review this branch, scan repository for issues.", "category": "cli-tools", "subcategory": "ai-cli", "interface": "cli", "path": "open-code-review/SKILL.md", "tags": [ "open-code-review", "ocr", "ai-code-review", "pull-request-review", "diff-review", "security-review", "cli", "plugin", "alibaba", "git" ], "platforms": [ "Claude", "Codex", "Gemini", "Cursor", "OpenCode", "All" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Grep", "Glob", "WebFetch" ], "keyword": "ocr", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "ponytail", "description": "Make the agent solve coding tasks with the least code that remains correct. Before writing code, walk the Ponytail ladder: skip what need not exist, then prefer stdlib, native platform features, already-installed dependencies, one line, and only then the minimum custom code. Use when the user asks for ponytail mode, less code, YAGNI, anti-bloat, minimal code, an over-engineering review, a current-diff delete-list, a whole-repo bloat audit, or a `ponytail:` tech-debt harvest. Keep validation, data-loss handling, security, and accessibility. Mark shortcuts with `ponytail:` plus the upgrade path. Triggers on: ponytail, /ponytail, /ponytail-review, /ponytail-audit, /ponytail-debt, write less code, YAGNI, over-engineering, anti-bloat, minimal code, do I need this, lazy dev.", "category": "cli-tools", "subcategory": "ai-cli", "interface": "cli", "path": "ponytail/SKILL.md", "tags": [ "yagni", "over-engineering", "minimalism", "anti-bloat", "code-review", "refactoring", "productivity", "tech-debt" ], "platforms": [ "Claude", "Codex", "Gemini", "Cursor", "OpenCode", "All" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "ponytail", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "zeude", "description": "Enterprise AI adoption platform for Claude Code \u2014 measures team usage via OpenTelemetry, syncs skills/MCP servers/hooks from a central dashboard, and delivers context-aware skill suggestions at prompt time. Solves the Intention-Action Gap: organizations that deploy Zeude see 3x adoption improvement (6% \u2192 18%). Requires Supabase (config) and ClickHouse (analytics). Triggers on: zeude, ai adoption, claude code adoption, enterprise claude, opentelemetry claude, skill sync, team claude management.", "category": "cli-tools", "subcategory": "ai-cli", "interface": "cli", "path": "zeude/SKILL.md", "tags": [ "enterprise", "ai-adoption", "claude-code", "opentelemetry", "clickhouse", "supabase", "team-management", "skill-sync", "mcp-management", "analytics" ], "platforms": [ "Claude Code" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob", "WebFetch" ], "keyword": "zeude", "version": "latest", "source": "zep-us/zeude" }, { "name": "compresso", "description": "Free offline desktop video/image compression (Tauri+React) \u2014 batch compress, trim/split, convert formats, embed subtitles. Install: brew install --cask codeforreal1/tap/compresso", "category": "cli-tools", "subcategory": "media-cli", "interface": "cli", "path": "compresso/SKILL.md", "tags": [ "compresso", "compression", "video-compression", "image-compression", "batch-compression", "ffmpeg", "tauri", "offline", "cross-platform", "pngquant", "jpegoptim", "gifski" ], "platforms": [ "Claude Code", "Codex CLI", "Gemini CLI", "OpenCode" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob", "WebFetch" ], "keyword": "compresso", "version": "latest", "source": "codeforreal1/compressO" }, { "name": "codeflow", "description": "Turn any GitHub repo, local folder, PR, or markdown/Obsidian vault into an interactive architecture map with CodeFlow \u2014 a zero-build single index.html browser app (React 18 + D3.js from pinned CDNs) that runs 100% client-side with no backend and no data collection. Pick an input (public repo, private repo with a local token, local files, PR URL, markdown vault), choose a visualization mode (folder/layer/churn/blast), and read the analysis \u2014 dependency graph, blast radius, code ownership, heuristic security scanner, pattern/anti-pattern detection, A\u2013F health score, activity heatmap, PR impact \u2014 then export JSON/Markdown/text/SVG/PDF or wire the self-updating CodeFlow Card SVG onto a README.", "category": "cli-tools", "subcategory": "automation-cli", "interface": "cli", "path": "codeflow/SKILL.md", "tags": [ "codeflow", "codebase-visualization", "dependency-graph", "blast-radius", "code-ownership", "health-score", "pr-impact", "security-scanner", "wiki-link-graph", "plugin" ], "platforms": [ "Claude", "Codex", "Gemini", "OpenCode", "All" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "codeflow", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "graphify", "description": "Drive Graphify from its CLI to build, refresh, query, export, and serve a durable code/corpus knowledge graph. Use when the user wants `.graphify/GRAPH_REPORT.md`, `graph.json`, `graph.html`, `graphify update`/`summary`/`query`/`path`/`explain`/`tree`, change-aware review context, git-hook or watch-based refresh, a stdio MCP graph server, or an install into jeo, jeopi, gjc, opencode, Claude, Codex, or Gemini. Also covers the honest structural fallback when native extraction is empty or misleading. Route simple locate/reference work to `codebase-search`, narrative knowledge-base work to `llm-wiki`, and project-memory handoff to `opencontext`. Triggers on: graphify, graphify update, graphify query, knowledge graph CLI, GRAPH_REPORT.md, graph.json, codebase graph, graph refresh, graphify install, graphify serve, review context, affected flows.", "category": "cli-tools", "subcategory": "automation-cli", "interface": "cli", "path": "graphify/SKILL.md", "tags": [ "knowledge-graph", "codebase-analysis", "graphrag", "architecture", "graphify", "cli", "corpus-analysis", "persistent-memory" ], "platforms": [ "Claude", "Codex", "Gemini", "OpenCode", "jeo", "jeopi", "gjc" ], "allowed_tools": [ "Bash", "Read", "Write", "Grep", "Glob" ], "keyword": "graphify", "version": "3.0", "source": "https://github.com/Graphify-Labs/graphify" }, { "name": "npm-git-install", "description": "Route Node package-delivery ambiguity into one install packet: temporary Git bridge, SHA-pinned shared bridge, private-auth Git path, tarball / `npm pack` artifact, workspace / `file:` inner-loop, or publish-first registry handoff. Use when the user wants to install an npm / pnpm / Yarn / Bun package from a branch, tag, commit, fork, private repo, monorepo package, or unreleased fix, and the real question is which delivery path is safest rather than how Git or package registries work in general. Triggers on: npm install from GitHub, git dependency, github:owner/repo, git+ssh, git+https, private package from repo, install branch vs commit, monorepo package install, npm pack vs git, and should we publish this instead.", "category": "cli-tools", "subcategory": "automation-cli", "interface": "cli", "path": "npm-git-install/SKILL.md", "tags": [ "npm", "pnpm", "yarn", "bun", "git", "github", "package-management", "node", "monorepo", "private-packages" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex", "OpenCode" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "npm-git-install", "version": "2.1.0", "source": "akillness/jeo-skills" }, { "name": "okf", "description": "Create, validate, and consume Google's Open Knowledge Format (OKF) bundles \u2014 YAML-frontmatter Markdown files with type / title / description / resource / tags / timestamp fields for portable, interoperable AI-agent knowledge sharing. OKF formalizes the LLM-Wiki pattern into a vendor-neutral open specification so any producer can write and any agent can consume without translation. Routes: use `llm-wiki` for raw source capture + vault maintenance, `obsidian` for Obsidian-vault workflows, `graphify` for durable committed graphs, `scrapling` for web-content extraction into OKF docs. Triggers on: okf, open knowledge format, knowledge bundle, okf document, llm wiki standard, knowledge atom, agent context format, okf frontmatter, okf bundle, knowledge interoperability.", "category": "cli-tools", "subcategory": "automation-cli", "interface": "cli", "path": "okf/SKILL.md", "tags": [ "okf", "open-knowledge-format", "knowledge-bundle", "llm-wiki", "knowledge-graph", "metadata", "context-engineering", "interoperability", "yaml-frontmatter", "google", "agent-context" ], "platforms": [ "Claude", "Codex", "Gemini", "Cursor", "Copilot", "OpenCode", "All" ], "allowed_tools": [ "Read", "Write", "Edit", "Bash", "Grep", "Glob", "WebFetch" ], "keyword": "okf", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "rtk", "description": "Install, initialize, verify, and troubleshoot RTK (Rust Token Killer) for AI coding agents. Use when you need to reduce shell-command token output, confirm that the correct `rtk` binary is installed, choose between Homebrew, install.sh, or Cargo installation, wire `rtk init` for Claude Code, Codex, Gemini CLI, Cursor, Copilot, Windsurf, Cline, or OpenCode, or use compact wrappers such as `rtk git status`, `rtk read`, `rtk grep`, `rtk test`, `rtk lint`, and `rtk gain`. Triggers on: rtk, rust token killer, token saver cli, rtk init, rtk gain, codex rtk, gemini rtk, opencode rtk, claude hook token reduction.", "category": "cli-tools", "subcategory": "automation-cli", "interface": "cli", "path": "rtk/SKILL.md", "tags": [ "rtk", "rust-token-killer", "token-optimization", "claude-code", "codex", "gemini", "opencode", "cursor", "copilot", "shell-hooks" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "rtk", "version": "1.0", "source": "https://github.com/akillness/rtk" }, { "name": "tokhub", "description": "Set up, run, and contribute to TokHub (github.com/yaojingang/TokHub) \u2014 an open-source AI API relay monitoring, recommendation, and OpenAI-compatible gateway system with L1/L2/L3 channel health probing, usage metering, alerts, audit, and Docker self-hosting. Use when the user asks about TokHub, \"AI API \u4e2d\u8f6c\u7ad9\u76d1\u63a7\", cloning/running the Go + React monorepo (TOKHUB_ROLE, sqlc, TimescaleDB, NATS), the L1/L2/L3 probe algorithm, the OpenAI-compatible `/gateway/v1/*` endpoint, or contributing a PR to TokHub. Do not use for connecting a running agent to a live TokHub instance's own API (that is covered by the project's own bundled `agent-skills/tokhub` skill inside the TokHub repo, not this one).", "category": "cli-tools", "subcategory": "automation-cli", "interface": "cli", "path": "tokhub/SKILL.md", "tags": [ "tokhub", "ai-api-gateway", "api-monitoring", "openai-compatible", "go", "react", "typescript", "postgresql", "timescaledb", "redis", "nats", "docker", "open-source" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "tokhub", "version": "1.0", "source": "yaojingang/TokHub" }, { "name": "scrapling", "description": "Route web-scraping work into the lightest workable Scrapling mode instead of defaulting to a browser. Use when the user needs HTML extraction, JS-rendered page retrieval, protected-target escalation, quick CLI scraping, agent-facing MCP access, or a larger crawl with Scrapling spiders. Triggers on: scrapling, scrape website, crawl site, adaptive scraping, selector drift, stealthy fetch, browser scraping, scrape to markdown, scrapling mcp, scrapling spider, research harvesting, literature scraping, paper metadata.", "category": "cli-tools", "subcategory": "search-cli", "interface": "cli", "path": "scrapling/SKILL.md", "tags": [ "scrapling", "web-scraping", "crawling", "adaptive-scraping", "mcp", "cli", "playwright", "cloudflare", "spiders", "python", "research-harvesting", "ai4s-research-open-science" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "scrapling", "version": "1.2", "source": "https://github.com/D4Vinci/Scrapling" }, { "name": "scrapingant-web-fetch", "description": "Fetch live web pages for agents through ScrapingAnt's hosted MCP server (`https://api.scrapingant.com/mcp`) with headless-Chrome rendering, rotating datacenter/residential proxies, Cloudflare and anti-bot handling, and LLM-ready Markdown output. Use when a plain fetch/WebFetch is blocked (403/429, Cloudflare challenge), when a JavaScript/SPA page returns an empty shell, when geo-specific content is needed, or when standing up a local browser scraper costs more than the task is worth. Triggers on: scrapingant, MCP web scraping, fetch blocked page, Cloudflare bypass, anti-bot scraping, JS rendered page, scrape to markdown, residential proxy fetch, geo-targeted scrape, live web access for agents.", "category": "cli-tools", "subcategory": "search-cli", "interface": "mcp", "path": "scrapingant-web-fetch/SKILL.md", "tags": [ "scrapingant", "mcp", "web-scraping", "markdown", "anti-bot", "cloudflare", "headless-chrome", "residential-proxy", "js-rendering", "rag", "live-web-access", "sponsor" ], "platforms": [ "Claude", "Claude Code", "Claude Desktop", "Cursor", "Windsurf", "VS Code Copilot", "Cline", "jeo", "gjc", "jeopi", "OpenCode" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "WebFetch" ], "keyword": "scrapingant", "version": "1.0", "source": "https://docs.scrapingant.com/mcp-server" }, { "name": "semble", "description": "Fast, accurate code search for AI agents using ~98% fewer tokens than grep+read. Indexes any local or remote repository in under a second (~250ms on CPU, no GPU or API key needed). Supports natural-language and symbol queries, semantic similar-code discovery, and MCP server integration for Claude Code, Codex, Cursor, and OpenCode. Python library available for programmatic use. Triggers on: semble, code search, semantic code search, semble search, token-efficient search, find code, code search mcp, agent code search, semble find-related, semble savings.", "category": "cli-tools", "subcategory": "search-cli", "interface": "cli", "path": "semble/SKILL.md", "tags": [ "semble", "code-search", "semantic-search", "mcp", "token-efficient", "agent-tools", "python", "cli", "codebase-navigation" ], "platforms": [ "Claude Code", "Codex CLI", "Gemini CLI", "OpenCode", "Cursor" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob", "WebFetch" ], "keyword": "semble", "version": "latest", "source": "MinishLab/semble" }, { "name": "x-twitter-scraper", "description": "Use when the user needs X (Twitter) data or confirmation-gated X actions through Xquik: tweet search, user lookup, follower extraction, media download, monitoring, webhooks, MCP, SDKs, posting, likes, DMs, and profile updates. Requires a Xquik API key. Never ask for X login material.", "category": "cli-tools", "subcategory": "search-cli", "interface": "cli", "path": "x-twitter-scraper/SKILL.md", "tags": [], "platforms": [], "allowed_tools": [], "keyword": "x-twitter-scraper", "version": "2.4.16" }, { "name": "hyperfine-benchmarking", "description": "Use this skill to benchmark shell commands reliably with warmup runs, statistical summaries, and exportable artifacts using hyperfine.", "category": "cli-tools", "subcategory": "benchmark-cli", "interface": "cli", "path": "hyperfine-benchmarking/SKILL.md", "tags": [], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write" ], "keyword": "hyperfine-benchmarking", "version": "1.0.0" }, { "name": "bmad", "description": "Packet-first BMAD/BMM front door for idea notes, product briefs, PRDs, architecture drafts, review feedback, existing repo state, and milestone pressure. Use when the user wants to know what BMAD phase or artifact comes next, or needs a portable BMAD entrypoint before routing review, execution slicing, runtime setup, or game-production work outward.", "category": "ai-agents", "subcategory": "orchestration", "interface": "workflow", "path": "bmad/SKILL.md", "tags": [ "bmad", "workflow", "orchestration", "phased-development", "planning", "architecture", "implementation" ], "platforms": [ "Claude", "Gemini", "Codex", "OpenCode" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "bmad", "version": "2.1.0", "source": "akillness/jeo-skills" }, { "name": "deep-dive", "description": "Cross-runtime 2-stage pipeline for Claude Code, Codex/OMX, and Gemini/Antigravity/OMA: trace causal hypotheses, inject evidence into deep-interview style requirements crystallization, then hand off to the right runtime planner/executor.", "category": "ai-agents", "subcategory": "orchestration", "interface": "workflow", "path": "deep-dive/SKILL.md", "tags": [], "platforms": [], "allowed_tools": [], "keyword": "deep-dive", "version": "1.0.0" }, { "name": "deepinit", "description": "Create or refresh hierarchical AGENTS.md documentation for Claude Code, Codex/OMX, Gemini, and Antigravity/OMA projects, preserving manual notes while excluding runtime state such as root .omc, .omx, .survey, .codex, and generated build folders.", "category": "ai-agents", "subcategory": "orchestration", "interface": "workflow", "path": "deepinit/SKILL.md", "tags": [], "platforms": [], "allowed_tools": [], "keyword": "deepinit", "version": "1.0.0" }, { "name": "spec-kit", "description": "Run GitHub's Spec-Driven Development (SDD) workflow via the `specify` CLI \u2014 install spec-kit, initialize a project for one of 30+ AI coding agents (Claude Code, Copilot, Gemini, Cursor, Codex, Qwen, opencode, Kiro, etc.), and drive the constitution \u2192 specify \u2192 plan \u2192 tasks \u2192 implement command pipeline. Use when the user wants to bootstrap a Spec-Driven Development project, install `specify-cli`, generate executable specs before code, or invoke the `/speckit.*` slash commands (`/speckit.constitution`, `/speckit.specify`, `/speckit.plan`, `/speckit.tasks`, `/speckit.implement`, `/speckit.clarify`, `/speckit.analyze`, `/speckit.checklist`). Triggers on: spec-kit, speckit, specify, specify init, spec-driven, spec driven development, SDD, /speckit, executable spec.", "category": "ai-agents", "subcategory": "orchestration", "interface": "cli", "path": "spec-kit/SKILL.md", "tags": [ "spec-kit", "speckit", "specify", "sdd", "spec-driven-development", "planning", "github", "plugin", "multi-agent" ], "platforms": [ "Claude", "Copilot", "Gemini", "Codex", "Cursor", "OpenCode", "Qwen", "Kiro", "All" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "spec-kit", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "microsoft-agent-framework", "description": "Design enterprise-grade agent systems with Microsoft's agent framework patterns: role separation, workflow control, policy boundaries, and observability. Use when users need robust organizational agent workflows, governance, and maintainable multi-agent architecture.", "category": "ai-agents", "subcategory": "agent-frameworks", "interface": "library", "path": "microsoft-agent-framework/SKILL.md", "tags": [ "agentic-ai", "microsoft", "enterprise", "governance", "orchestration" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Grep", "Glob" ], "keyword": "microsoft-agent-framework", "version": "1.0", "source": "microsoft/agent-framework" }, { "name": "openai-agents-python", "description": "Build and operate multi-agent workflows with OpenAI Agents SDK (Python): define agents/tools/handoffs, add guardrails, run conversations, and debug orchestration behavior. Use when users ask for agent orchestration with OpenAI-native patterns, handoff routing, or production-ready agent loops.", "category": "ai-agents", "subcategory": "agent-frameworks", "interface": "library", "path": "openai-agents-python/SKILL.md", "tags": [ "agentic-ai", "multi-agent", "orchestration", "openai", "python", "handoff" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Grep", "Glob" ], "keyword": "openai-agents-python", "version": "1.0", "source": "openai/openai-agents-python" }, { "name": "goalflow", "description": "Route goalflow (wanmol/goal-flow) work \u2014 a LangGraph framework that combines workflow graphs with agent loops \u2014 into exactly one mode: fit check, transpiling a Dify DSL export into runnable LangGraph Python, authoring workflow nodes and edges, building an `agent_kit` loop with middleware and a harness, wiring the serving layer (data adapters, SSE streaming, HITL, Redis/MySQL, API-key registration), or running the pre-publish security gate. Use when the user wants Dify's visual design without Dify's runtime, a graph node that hosts an agent loop, an OpenAI-compatible wire protocol over their own workflows, or prompt-injected `SKILL.md` capabilities. Triggers on: goalflow, goal-flow, dify to langgraph, dify transpiler, dify DSL export, BaseWorkflow, agent_kit, AgentBaseNode, DataAdapter, chunk processor, HITL interrupt, dify2langgraph. Route plain graph-API questions to `langgraph-fundamentals` and `langgraph-workflow`.", "category": "ai-agents", "subcategory": "agent-frameworks", "interface": "workflow", "path": "goalflow/SKILL.md", "tags": [ "goalflow", "goal-flow", "langgraph", "dify", "dify2langgraph", "transpiler", "agent-loop", "agent-kit", "middleware", "hitl", "sse-streaming", "data-adapter", "llmops", "python" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "goalflow", "version": "1.0", "source": "https://github.com/wanmol/goal-flow" }, { "name": "article-prompts-to-skills", "description": "Convert an article, tutorial, or prompt pack into focused reusable AgentSkills, one independent capability per skill, with portable instructions, example prompts, working demos, preview screenshots, validation, gallery updates, and a narrow commit. Use when the user asks to turn an article's prompts, tutorial sections, design patterns, interactions, or workflow ideas into complete skills rather than leaving them as prose.", "category": "ai-agents", "subcategory": "skill-authoring", "interface": "workflow", "path": "article-prompts-to-skills/SKILL.md", "tags": [ "article", "prompts", "skills", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "article-prompts-to-skills", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/article-prompts-to-skills" }, { "name": "skill-standardization", "description": "Standardize and validate SKILL.md files against the Agent Skills specification (agentskills.io). Use when creating or rewriting a skill, auditing an existing skill for spec compliance, sharpening trigger descriptions, canonicalizing overlapping skills into a canonical skill plus compatibility alias, or checking whether derived discovery surfaces (`skills.json`, README/setup inventories, `SKILL.toon`, `SKILL.compact.md`) still match the live skill folders. In repo-root maintenance loops, prefer truthful validator commands instead of bare `scripts/...` examples. Triggers on: \"validate skill\", \"create SKILL.md\", \"check skill spec\", \"skill frontmatter\", \"improve skill description\", \"catalog sync\", \"SKILL.toon drift\", \"compact skill drift\", \"canonical skill\".", "category": "ai-agents", "subcategory": "skill-authoring", "interface": "workflow", "path": "skill-standardization/SKILL.md", "tags": [ "skill-management", "standardization", "validation", "agentskills-spec", "automation", "deduplication", "catalog-sync" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "skill-standardization", "version": "2.3" }, { "name": "upskill", "description": "Turn a weak/cheap \"Flash\" model into a \"Pro\" performer by wrapping HKUDS UpSkill \u2014 captures agent session failures, has a strong Teacher model analyze them and draft a skill, then validates it against the weak Student model in a closed Ralph Loop (up to 3 rounds) before storing it for automatic reuse. Use when the user wants to install UpSkill, run `/upskill-init`, `/upskill-configure`, `/upskill-build`, `/upskill-run`, `/upskill-list`, `/upskill-status`, `/upskill-mode`, `/upskill-model`, `/upskill-remove`, or `/upskill-uninstall`, wants a cheap model to perform closer to a Pro model without switching, or wants a good session (success or failure) distilled into a validated skill. Triggers on: upskill, up-skill, flash to pro, teacher student distillation, ralph loop skill validation, distill agent failures into skills. Routes skill-quality ratcheting to `skill-autoresearch`, scaffolding to `write-a-skill`, and spec-compliance rewrites to `skill-standardization`.", "category": "ai-agents", "subcategory": "skill-authoring", "interface": "cli", "path": "upskill/SKILL.md", "tags": [ "upskill", "knowledge-distillation", "teacher-student", "ralph-loop", "skill-generation", "claude-code-hooks", "terminal-bench", "cost-optimization" ], "platforms": [ "Claude Code" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "upskill", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "write-a-skill", "description": "Creates reusable SKILL.md-based agent skills through requirements, drafting, and user review; use to formalize a workflow or add a new agent capability.", "category": "ai-agents", "subcategory": "skill-authoring", "interface": "workflow", "path": "write-a-skill/SKILL.md", "tags": [ "skill-creation", "agent-skills", "documentation", "reusability", "skill-design" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "write-a-skill", "version": "1.0", "source": "mattpocock/skills" }, { "name": "langsmith", "description": "Route LangSmith work into one workflow packet before touching SDK code. Use when the user needs LangSmith tracing, offline evals, annotation/review queues, prompt-registry decisions, audit/gap review, or cross-service trace propagation for an LLM app or agent workflow. Choose one packet: trace-debug, eval, review, prompt-registry, propagation, or audit. Triggers on: LangSmith, LangChain tracing, `@traceable` / `traceable`, `wrap_openai` / `wrapOpenAI`, datasets, experiments, annotation queues, feedback criteria, Prompt Hub, run trees, trace IDs, or production confidence for an AI feature. Not for generic SLO/alert design, non-LangSmith deployment orchestration, or runtime guardrails outside LangSmith.", "category": "ai-agents", "subcategory": "evaluation", "interface": "library", "path": "langsmith/SKILL.md", "tags": [ "langsmith", "langchain", "tracing", "observability", "evaluation", "llm-monitoring", "prompt-hub", "datasets", "openevals" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "langsmith", "version": "2.1.0", "source": "https://docs.langchain.com/langsmith/home" }, { "name": "opik", "description": "Run Comet's Opik \u2014 open-source LLM observability, evaluation, and optimization \u2014 from one routing-first skill: install the Python/TypeScript SDK, stand up a server (Comet.com cloud, Docker Compose via `./opik.sh`, or Kubernetes/Helm), wire tracing through `@opik.track` or one of 50+ framework integrations (OpenAI, Anthropic, LangChain, LangGraph, LlamaIndex, CrewAI, DSPy, Ollama, Bedrock, Vercel AI SDK, \u2026), score outputs with LLM-as-a-judge metrics (Hallucination, Moderation, Answer Relevance, Context Precision), and run Datasets/Experiments evaluations including PyTest CI gates. Use when the user wants LLM tracing, prompt evaluation, production LLM monitoring, agent optimization, or guardrails with Opik. Triggers on: opik, comet opik, opik configure, opik.sh, llm observability, llm tracing, llm as a judge, hallucination metric, prompt evaluation, opik dashboard, opik guardrails, agent optimizer.", "category": "ai-agents", "subcategory": "evaluation", "interface": "library", "path": "opik/SKILL.md", "tags": [ "opik", "comet", "llm-observability", "tracing", "evaluation", "llm-as-a-judge", "prompt-optimization", "guardrails", "monitoring", "plugin" ], "platforms": [ "Claude", "Gemini", "Codex", "OpenCode", "All" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "opik", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "skill-autoresearch", "description": "Route reusable skill-improvement work into one bounded repo-local ratcheting packet: ratchet eligibility, benchmark readiness, loop charter freeze, baseline scoring, one-change mutation, support-surface sync, or final keep/revert report. Use when an existing `SKILL.md`, SOP, prompt, or workflow doc may need sharper triggers, clearer instructions, better support files, or cleaner discovery wording and you want a frozen evaluation harness, append-only experiment logs, and explicit keep-or-revert decisions instead of ad hoc rewriting. Also use when you need to prove that no ratchet is justified yet. Not for GPU-bound Karpathy `autoresearch` runs or hosted app-scale eval / observability platforms such as LangSmith, Braintrust, Weave, or Promptfoo.", "category": "ai-agents", "subcategory": "evaluation", "interface": "workflow", "path": "skill-autoresearch/SKILL.md", "tags": [ "skill-autoresearch", "skill-optimization", "evals", "prompt-iteration", "benchmarking", "mutation-loop", "ratcheting", "karpathy" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "skill-autoresearch", "version": "1.2.0", "source": "https://github.com/olelehmann100kMRR/autoresearch-skill" }, { "name": "bmad-idea", "description": "Turn raw ideas into one clear pre-planning concept artifact by choosing the right framing mode: problem framing, audience and value framing, concept shaping, game concept framing, or story packaging. Use when the user needs the next artifact before PRDs, sprint plans, launch execution, or game-production routing.", "category": "ai-agents", "subcategory": "planning-review", "interface": "workflow", "path": "bmad-idea/SKILL.md", "tags": [ "bmad", "ideation", "concept-design", "problem-framing", "positioning", "storytelling", "product-discovery", "game-concept", "creative-routing" ], "platforms": [ "Claude", "Gemini", "Codex", "OpenCode" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "bmad-idea", "version": "2.0.0", "source": "akillness/jeo-skills" }, { "name": "grill-me", "description": "Systematic plan stress-testing through relentless one-question-at-a-time decision-tree interviewing", "category": "ai-agents", "subcategory": "planning-review", "interface": "workflow", "path": "grill-me/SKILL.md", "tags": [ "design-review", "stress-testing", "planning", "architecture", "questioning", "validation" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "grill-me", "version": "1.0", "source": "mattpocock/skills" }, { "name": "grill-with-docs", "description": "Stress-test plans against project domain model, sharpen terminology, update CONTEXT.md and ADRs inline", "category": "ai-agents", "subcategory": "planning-review", "interface": "workflow", "path": "grill-with-docs/SKILL.md", "tags": [ "design-review", "architecture", "domain-model", "documentation", "adr", "context-map" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "grill-with-docs", "version": "1.0", "source": "mattpocock/skills" }, { "name": "plannotator", "description": "Routing-first visual approval gate for AI agent plans, markdown specs, and diffs. Use when a human needs to review a concrete plan before execution, inspect a targeted diff in a browser, mark up a spec/PRD/architecture note, or set up the review loop on Claude Code, Gemini CLI, Codex CLI, or OpenCode. Route planning/spec creation to `task-planning` or `ralph`, broad PR-policy review to `code-review`, rendered-UI critique to `agentation`, and fresh-session browser verification to `browser-harness`.", "category": "ai-agents", "subcategory": "planning-review", "interface": "cli", "path": "plannotator/SKILL.md", "tags": [ "plan", "plannotator", "plan-review", "diff-review", "spec-review", "markdown-review", "claude-code", "codex", "gemini", "opencode", "annotation", "visual-review", "obsidian", "bear-notes" ], "platforms": [ "Claude", "OpenCode", "Codex", "Gemini" ], "allowed_tools": [ "Read", "Bash", "Write" ], "keyword": "plan", "version": "1.1.0", "source": "backnotprop/plannotator" }, { "name": "survey", "description": "Run a bounded cross-platform landscape scan before planning or implementation. Use when the real job is researching what exists, how people work around it, which solutions repeat, or how platform/tooling patterns map before deciding what to build. Produce reusable `.survey/{slug}/` artifacts, validate the artifact contract, and route planning or execution outward only after the survey is done.", "category": "ai-agents", "subcategory": "planning-review", "interface": "workflow", "path": "survey/SKILL.md", "tags": [ "survey", "landscape-scan", "research", "discovery", "groundwork", "oh-my-claudecode", "oh-my-codex", "oh-my-agent", "claude", "codex", "gemini", "hooks", "rules", "settings" ], "platforms": [ "Claude Code", "Codex", "Gemini-CLI", "OpenCode" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob", "WebFetch" ], "keyword": "survey", "version": "2.1.7", "source": "akillness/jeo-skills" }, { "name": "to-issues", "description": "Convert plans/specs into independently-grabbable vertical slice issues (HITL or AFK classification)", "category": "ai-agents", "subcategory": "planning-review", "interface": "workflow", "path": "to-issues/SKILL.md", "tags": [ "issues", "planning", "vertical-slices", "decomposition", "project-management", "tickets" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "to-issues", "version": "1.0", "source": "mattpocock/skills" }, { "name": "to-prd", "description": "Generate structured PRD from conversation context without interviewing the user", "category": "ai-agents", "subcategory": "planning-review", "interface": "workflow", "path": "to-prd/SKILL.md", "tags": [ "prd", "requirements", "product", "documentation", "planning", "user-stories" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "to-prd", "version": "1.0", "source": "mattpocock/skills" }, { "name": "triage", "description": "Moves tracker issues through a structured triage state machine with category and readiness decisions; use to evaluate or prepare work items for implementation.", "category": "ai-agents", "subcategory": "planning-review", "interface": "workflow", "path": "triage/SKILL.md", "tags": [ "triage", "issues", "state-machine", "project-management", "bug-tracking", "enhancement" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "triage", "version": "1.0", "source": "mattpocock/skills" }, { "name": "openspace", "description": "Install and route through OpenSpace, the skill management layer for AI agents, so a host agent can retrieve/rank/load the right SKILL.md out of this jeo-skills catalog (~150 installed skills), then evaluate skill quality from real execution evidence and evolve skills via FIX/DERIVED/CAPTURED updates. Covers install-as-skill-finder, retrieve-a-skill, evaluate-quality, evolve-skills, and local-first hub share/import. Triggers on: openspace, skill finder, skill retrieval, find the right skill, rank skills, skill discovery, skill quality, evolve skill, FIX DERIVED CAPTURED, skill hub, openspace-mcp, DiscoverSkills, skill-discovery, delegate-task.", "category": "ai-agents", "subcategory": "discovery", "interface": "mcp", "path": "openspace/SKILL.md", "tags": [ "openspace", "skill-management", "skill-discovery", "skill-retrieval", "skill-evaluation", "skill-evolution", "mcp", "agent-skills", "quality-layer", "cloud-hub" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "openspace", "version": "1.0", "source": "https://github.com/HKUDS/OpenSpace" }, { "name": "agentic-skills", "description": "Production engineering lifecycle for spec-first, test-driven implementation, review, and staged shipping; use for disciplined software delivery with explicit quality gates.", "category": "ai-agents", "subcategory": "prompting", "interface": "workflow", "path": "agentic-skills/SKILL.md", "tags": [ "agentic-skills", "production-engineering", "spec-driven", "tdd", "code-review", "security", "performance", "git-workflow", "ci-cd", "google-practices" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch", "Agent" ], "keyword": "agentic-skills", "version": "1.0", "source": "https://github.com/addyosmani/agent-skills" }, { "name": "agenticskills", "description": "One-shot installer for the akillness/oh-my-gods agent skill bundle (80+ god-skills) \u2014 wraps the official install.sh with pinned URL and env knobs (PLATFORM, WITH_LANGCHAIN, INSTALL_MODE, SKIP_BACKUP) to copy the catalog into Claude Code, Codex CLI, Antigravity/Gemini, and OpenCode in one step.", "category": "ai-agents", "subcategory": "prompting", "interface": "cli", "path": "agenticskills/SKILL.md", "tags": [ "agenticskills", "oh-my-gods", "god-skills", "installer", "bundle", "agent-skills", "multi-runtime" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "agenticskills", "version": "1.0.0" }, { "name": "prompts-chat", "description": "Discover and apply curated prompts from the prompts.chat collection to optimize AI interactions. Use when refining prompt engineering, finding domain-specific prompt templates, improving response quality, or building prompt-based workflows. Triggers on: prompt optimization, prompt templates, prompt engineering, prompt library, curated prompts, prompt discovery, and AI prompt patterns.", "category": "ai-agents", "subcategory": "prompting", "interface": "library", "path": "prompts-chat/SKILL.md", "tags": [ "prompts", "prompt-engineering", "ai-optimization", "prompt-templates", "prompt-library", "prompt-discovery", "deployment-automation", "prompt-curation" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex", "jeo", "jeopi" ], "allowed_tools": [ "Read", "Write", "Edit", "Bash", "Glob", "Grep" ], "keyword": "prompts-chat", "version": "1.0.0", "source": "https://github.com/f/prompts.chat" }, { "name": "audit-reference-originality", "description": "Audit a website or digital experience against its supplied source references for originality and plagiarism risk. Use when Codex must compare current or historical site output with reference pages, capture packs, screenshots, copy, brands, numbers, images, assets, videos, layouts, motion, or code; raise evidence-backed red flags; distinguish common visual grammar from distinctive copying; and propose concrete fixes without making unsupported legal claims.", "category": "engineering", "subcategory": "code-quality", "interface": "workflow", "path": "audit-reference-originality/SKILL.md", "tags": [ "audit", "reference", "originality", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "audit-reference-originality", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/audit-reference-originality" }, { "name": "audit-verify-explain-grade-5", "description": "Audit work, verify claims with concrete evidence, and explain the result in simple grade-5 language. Use when the user asks to review, audit, check, verify, explain a change, explain a fix, summarize test results, validate whether something works, or translate technical findings into plain language for non-technical readers.", "category": "engineering", "subcategory": "code-quality", "interface": "workflow", "path": "audit-verify-explain-grade-5/SKILL.md", "tags": [ "audit", "verify", "explain", "grade", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "audit-verify-explain-grade-5", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/audit-verify-explain-grade-5" }, { "name": "code-refactoring", "description": "Turn a cleanup packet into one behavior-preserving refactor brief. Use when simplifying a messy function/component/service, freezing behavior before touching fragile legacy code, splitting a cleanup-heavy diff into reviewable slices, or planning a repeated migration / codemod without changing intended behavior. Route diagnosis to debugging, review judgment to code-review, validation-program design to testing-strategies, bottleneck-led tuning to performance-optimization, and pure symbol inventory to codebase-search.", "category": "engineering", "subcategory": "code-quality", "interface": "workflow", "path": "code-refactoring/SKILL.md", "tags": [ "refactoring", "code-quality", "behavior-preservation", "cleanup", "codemod", "migration", "technical-debt", "legacy-code" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write" ], "keyword": "code-refactoring", "version": "2.1", "source": "akillness/jeo-skills" }, { "name": "code-review", "description": "Turn a PR, diff, merge request, or patch stack into one evidence-first review brief with severity, missing-proof checks, and route-outs.", "category": "engineering", "subcategory": "code-quality", "interface": "workflow", "path": "code-review/SKILL.md", "tags": [ "code-review", "pull-request-review", "diff-review", "security-review", "risk-review", "pre-merge" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write" ], "keyword": "code-review", "version": "2.1", "source": "akillness/jeo-skills" }, { "name": "debugging", "description": "Run a reproduce \u2192 isolate \u2192 verify debugging workflow for concrete bugs, regressions, flaky failures, and environment-specific behavior. Use when the user already has a failing command, test, request, UI flow, or narrowed symptom and needs root-cause diagnosis or fix verification rather than raw log-line selection, broad test-policy design, PR review, or generic performance tuning.", "category": "engineering", "subcategory": "code-quality", "interface": "workflow", "path": "debugging/SKILL.md", "tags": [ "debugging", "regression-isolation", "reproduction", "flaky-tests", "git-bisect", "root-cause" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write" ], "keyword": "debugging", "version": "2.1", "source": "akillness/jeo-skills" }, { "name": "diagnose", "description": "Investigates hard, flaky, or performance failures through a six-phase feedback-loop-first debugging process; use when quick targeted debugging is insufficient.", "category": "engineering", "subcategory": "code-quality", "interface": "workflow", "path": "diagnose/SKILL.md", "tags": [ "debugging", "feedback-loop", "reproduction", "hypothesis", "instrumentation", "post-mortem" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "diagnose", "version": "1.0", "source": "mattpocock/skills" }, { "name": "github-repo-candidate-quality-gate", "description": "Convert noisy GitHub repository search results into recommendation-grade candidate lists with explicit metadata, freshness, traction signal, provenance labels, and rollback-safe reporting for maintenance PR workflows.", "category": "engineering", "subcategory": "code-quality", "interface": "workflow", "path": "github-repo-candidate-quality-gate/SKILL.md", "tags": [ "github", "search", "triage", "quality-gate", "repo-maintenance" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Grep", "Glob" ], "keyword": "github-repo-candidate-quality-gate", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "migrate-to-shoehorn", "description": "Migrate TypeScript test as assertions to fromPartial/fromAny/fromExact from @total-typescript/shoehorn", "category": "engineering", "subcategory": "code-quality", "interface": "workflow", "path": "migrate-to-shoehorn/SKILL.md", "tags": [ "typescript", "testing", "type-safety", "assertions", "migration", "shoehorn" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "migrate-to-shoehorn", "version": "1.0", "source": "mattpocock/skills" }, { "name": "performance-optimization", "description": "Route performance work from the artifact people already have into one measurement-led tuning brief. Use when the main job is locating the tightest latency, throughput, memory, bundle-size, or frame-budget bottleneck; choosing the right trace, query plan, load-test result, profiler capture, or CWV report; naming one bottleneck; and recommending one or two bounded optimizations with before/after verification. Route telemetry rollout to monitoring-observability, correctness diagnosis to debugging, structural cleanup to code-refactoring, validation-policy design to testing-strategies, and engine-specific capture interpretation to game-performance-profiler.", "category": "engineering", "subcategory": "code-quality", "interface": "workflow", "path": "performance-optimization/SKILL.md", "tags": [ "performance", "profiling", "bottleneck-analysis", "latency", "throughput", "memory", "bundle-size", "query-plans", "web-vitals", "flamegraphs" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write" ], "keyword": "performance-optimization", "version": "2.1", "source": "akillness/jeo-skills" }, { "name": "performance-profiling", "description": "Guide performance profiling for Apple platform apps with Instruments, Xcode diagnostics, and MetricKit. Use when investigating app hangs, stutters, high CPU, memory leaks, memory growth, OOM crashes, slow launch, battery drain, thermal issues, App Store performance readiness, or when adding os_signpost and measurement hooks.", "category": "engineering", "subcategory": "code-quality", "interface": "workflow", "path": "performance-profiling/SKILL.md", "tags": [ "performance", "profiling", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "performance-profiling", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/performance-profiling" }, { "name": "harness", "description": "Design domain-specific agent teams, define specialized agents, and generate the skills they use. Use when you need to decompose a complex project into coordinated multi-agent teams, choose the right architecture pattern (pipeline, fan-out/fan-in, expert pool, producer-reviewer, supervisor, hierarchical delegation), generate .claude/agents/ and .claude/skills/ files, or validate and iterate on generated harnesses. Triggers on: harness, build a harness, design agent team, agent team architecture, multi-agent skill generation, set up harness, harness engineering, domain agent team, harness for this project.", "category": "engineering", "subcategory": "testing", "interface": "workflow", "path": "harness/SKILL.md", "tags": [ "harness", "agent-team", "multi-agent", "skill-generation", "orchestration", "meta-skill", "claude-code" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch", "Agent" ], "keyword": "harness", "version": "1.0", "source": "https://github.com/revfactory/harness" }, { "name": "scaffold-exercises", "description": "Create educational exercise directories compliant with pnpm ai-hero-cli internal lint", "category": "engineering", "subcategory": "testing", "interface": "cli", "path": "scaffold-exercises/SKILL.md", "tags": [ "education", "exercises", "scaffolding", "course-content", "linting", "structure" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "scaffold-exercises", "version": "1.0", "source": "mattpocock/skills" }, { "name": "tdd", "description": "Red-green-refactor TDD using vertical slices \u2014 tests specify observable behavior through public interfaces", "category": "engineering", "subcategory": "testing", "interface": "workflow", "path": "tdd/SKILL.md", "tags": [ "tdd", "test-driven-development", "red-green-refactor", "vertical-slices", "behavior-verification" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "tdd", "version": "1.0", "source": "mattpocock/skills" }, { "name": "testing-strategies", "description": "Turn test-policy ambiguity into one packet-first validation brief. Use when the main job is deciding which gate is actually being shaped (merge, release, or scheduled), what evidence a change needs, how flaky or expensive suites should be handled, and whether the next owner is `backend-testing`, `debugging`, `code-review`, `deployment-automation`, `steam-store-launch-ops`, `game-ci-cd-pipeline`, `web-accessibility`, or `performance-optimization` instead of absorbing all test work here. Triggers on: test strategy, merge gate, required status checks, release gate, flaky-suite policy, regression policy, validation brief, release confidence, and what should we test.", "category": "engineering", "subcategory": "testing", "interface": "workflow", "path": "testing-strategies/SKILL.md", "tags": [ "testing", "test-strategy", "risk-based-testing", "regression-policy", "flaky-tests", "release-confidence" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "testing-strategies", "version": "2.1", "source": "akillness/jeo-skills" }, { "name": "improve-codebase-architecture", "description": "Identify architectural friction and propose deepening opportunities for testability using deletion-test, seam, locality vocabulary", "category": "engineering", "subcategory": "architecture", "interface": "workflow", "path": "improve-codebase-architecture/SKILL.md", "tags": [ "architecture", "refactoring", "deep-modules", "testability", "locality", "leverage" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "improve-codebase-architecture", "version": "1.0", "source": "mattpocock/skills" }, { "name": "zoom-out", "description": "Get higher-level architectural perspective: maps modules, callers, dependencies using domain vocabulary", "category": "engineering", "subcategory": "architecture", "interface": "workflow", "path": "zoom-out/SKILL.md", "tags": [ "architecture", "navigation", "context", "modules", "codebase-understanding", "orientation" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob" ], "keyword": "zoom-out", "version": "1.0", "source": "mattpocock/skills" }, { "name": "changelog-maintenance", "description": "Write and maintain release-history artifacts for shipped changes: `CHANGELOG.md` updates, release notes, migration/deprecation updates, and lightweight game patch notes. Use when the main job is turning shipped evidence into the smallest truthful release-writing packet for developers, customers, internal stakeholders, or players. Triggers on: changelog, release notes, patch notes, migration update, deprecation notice, version notes, what shipped, what changed, and what's new. Route internal specs/runbooks to `technical-writing`, API portals to `api-documentation`, end-user tutorials to `technical-writing`, rollout execution to `deployment-automation`, and launch messaging to `marketing-automation`.", "category": "engineering", "subcategory": "documentation", "interface": "workflow", "path": "changelog-maintenance/SKILL.md", "tags": [ "changelog", "release-notes", "patch-notes", "migration", "semantic-versioning", "documentation", "release-communication" ], "platforms": [ "Claude", "ChatGPT", "Gemini" ], "allowed_tools": [ "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "changelog-maintenance", "version": "2.1.0" }, { "name": "technical-writing", "description": "Write internal technical documentation for engineers and operators: technical specs, architecture docs, ADRs, runbooks, migration plans, and developer-facing implementation guides. Use when the main job is capturing a technical decision, system boundary, operating procedure, or rollout path for builders and maintainers. Triggers on: tech spec, design doc, architecture doc, ADR, runbook, migration guide, implementation guide, rollout doc, operational guide, and internal technical writing. End-user onboarding guides, tutorials, FAQs, and help-center flows belong here too. Route API portals to `api-documentation`, release notes to `changelog-maintenance`, decks to `presentation-builder`, and GTM messaging to `marketing-automation`.", "category": "engineering", "subcategory": "documentation", "interface": "workflow", "path": "technical-writing/SKILL.md", "tags": [ "technical-writing", "documentation", "specs", "architecture", "adr", "runbooks", "migration", "developer-docs", "docs-as-code" ], "platforms": [ "Claude", "ChatGPT", "Gemini" ], "allowed_tools": [ "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "technical-writing", "version": "2.1.0" }, { "name": "codebase-search", "description": "Route repo-navigation requests to one search packet before editing: exact-text, symbol/indexed, structural, config/content, hosted search, or graph/path trace. Use when the user asks where something is defined or referenced, which files own config/content surfaces, or what must be inspected before a change.", "category": "engineering", "subcategory": "code-navigation", "interface": "workflow", "path": "codebase-search/SKILL.md", "tags": [ "codebase-search", "code-navigation", "repo-triage", "impact-analysis", "grep", "ripgrep", "ast-grep" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash" ], "keyword": "codebase-search", "version": "2.1" }, { "name": "academic-research", "description": "Full academic research pipeline from discovery to publication \u2014 4 reference pipelines, 27 modes, 39-agent ensemble (deep-research 8 modes, academic-paper 11 modes, academic-paper-reviewer 6 modes, academic-pipeline 10-stage orchestrator). Routes each request to the right pipeline and mode. Human-in-the-loop throughout. Plugin (upstream): claude plugin marketplace add Imbad0202/academic-research-skills", "category": "research", "subcategory": "academic", "interface": "workflow", "path": "academic-research/SKILL.md", "tags": [ "academic-research", "deep-research", "paper-writing", "peer-review", "literature-review", "systematic-review", "citation-check", "research-pipeline", "scholarly-publishing", "ars" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "academic-research", "version": "1.0.0", "source": "https://github.com/Imbad0202/academic-research-skills" }, { "name": "research-paper-writing", "description": "Draft and revise ML, CV, NLP, and systems research papers with strong claim-evidence flow, reviewer-aware structure, and submission-ready section planning. Use when the user needs help with an abstract, introduction, related work, method, experiments, ablations, discussion, figures/tables, checklist coverage, or rebuttal / response-letter writing for a paper. Triggers on: research paper, academic paper, ML paper, NeurIPS paper, ICLR paper, CVPR paper, experiments section, ablation plan, related work, contribution framing, reviewer response, rebuttal, camera-ready revision.", "category": "research", "subcategory": "academic", "interface": "workflow", "path": "research-paper-writing/SKILL.md", "tags": [ "research-paper-writing", "academic-writing", "ml", "cv", "nlp", "experiments", "rebuttal" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "research-paper-writing", "version": "1.1", "source": "akillness/jeo-skills" }, { "name": "deep-research", "description": "Routing front door for a structured, human-in-the-loop deep-research workflow (Weizhena/Deep-Research-skills) \u2014 turn a topic into an extensible outline, fan out parallel web-search agents to investigate each item into validated JSON, then render a complete markdown report. One skill, 4 reference pipelines: outline (research / add-items / add-fields), deep (parallel per-item investigation + field-coverage validation), report (TOC + per-field markdown), web-search (research agent + 5 routed source modules). Plugin: npx skills add https://github.com/akillness/jeo-skills --skill deep-research", "category": "research", "subcategory": "web-research", "interface": "workflow", "path": "deep-research/SKILL.md", "tags": [ "deep-research", "structured-research", "research-outline", "web-search", "literature-review", "benchmark", "competitor-analysis", "due-diligence", "parallel-agents", "report-generation", "human-in-the-loop" ], "platforms": [ "Claude", "Codex", "Gemini", "Cursor", "Copilot", "OpenCode", "All" ], "allowed_tools": [ "Read", "Write", "Edit", "Bash", "Grep", "Glob", "WebSearch", "WebFetch", "Task" ], "keyword": "deep-research", "version": "1.0.3", "source": "akillness/jeo-skills" }, { "name": "heretic", "description": "Runs directional ablation and refusal-direction analysis for open-weight models the user may modify; use to reduce benign over-refusal or measure refusal/KL trade-offs, not for training.", "category": "research", "subcategory": "web-research", "interface": "workflow", "path": "heretic/SKILL.md", "tags": [ "heretic", "abliteration", "directional-ablation", "decensor", "refusal-direction", "interpretability", "residual-geometry", "llm-safety-research", "optuna", "scrapling" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "heretic", "version": "1.0", "source": "https://github.com/p-e-w/heretic" }, { "name": "data-analysis", "description": "Analyze datasets to extract insights, identify patterns, and generate reports.", "category": "research", "subcategory": "data-analysis", "interface": "workflow", "path": "data-analysis/SKILL.md", "tags": [ "data-analysis", "csv", "sql", "notebooks", "telemetry", "experimentation", "analytics" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash" ], "keyword": "data-analysis", "version": "2.0" }, { "name": "pattern-detection", "description": "Route repeated pattern, rule, and anomaly work into one detection packet before suggesting tools or fixes. Use when the user needs reusable scans, suspicious repeated shapes, grouped outlier candidates, or first-pass anomaly triage across code, logs/events, telemetry, and metric tables. Choose one packet: text-prefilter, structural-code-rule, log-event-pattern, or metric-anomaly. Triggers on: repeated bug, suspicious spike, odd cohort, noisy event, code smell family, rule pack, anti-pattern, outlier, anomaly, fraud signal, or recurring issue. Route root-cause incident work to log-analysis, KPI/business explanation to data-analysis, repo tracing to codebase-search, remediation to specialist skills, and alert/incident operations to monitoring-observability.", "category": "research", "subcategory": "data-analysis", "interface": "workflow", "path": "pattern-detection/SKILL.md", "tags": [ "patterns", "anomalies", "outliers", "structural-search", "telemetry", "detection", "routing" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash" ], "keyword": "pattern-detection", "version": "2.1" }, { "name": "autoresearch", "description": "Run Karpathy-style autonomous ML search on a real training repo: choose the right mode (setup, program.md, bounded loop, results interpretation, or constrained-hardware adaptation), preserve the immutable prepare.py / 300-second / val_bpb contract, and route prompt/skill eval work away to LangSmith, Promptfoo, Braintrust, or skill-autoresearch.", "category": "research", "subcategory": "experimentation", "interface": "workflow", "path": "autoresearch/SKILL.md", "tags": [ "autoresearch", "ml-experiments", "autonomous-research", "karpathy", "gpu", "train", "val-bpb", "overnight", "ratcheting" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "autoresearch", "version": "1.2.0", "source": "https://github.com/karpathy/autoresearch" }, { "name": "scientific-llm-benchmarks", "description": "A comprehensive reference of benchmarks for evaluating large language models on scientific reasoning and discovery.", "category": "research", "subcategory": "benchmarking", "interface": "workflow", "path": "scientific-llm-benchmarks/SKILL.md", "tags": [ "scientific-llm-benchmarks", "llm-benchmarks", "science-llms", "evaluation", "awesome-list", "reasoning", "discovery", "stem" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "scientific-llm-benchmarks", "version": "1.0.0", "source": "https://github.com/subinium/Awesome-Scientific-LLM-Benchmarks" }, { "name": "agent-pulse", "description": "Operate and extend barretlee/agent-pulse, the evidence-backed AI industry intelligence system: inspect source catalog and lifecycle, collect and normalize signals, bind evidence, cluster Events, evaluate system health, generate Scout hypotheses, export the privacy-safe public site, and verify release gates. Use when the user asks to run, configure, debug, extend, or explain Agent Pulse, its collectors, Control Room, narratives, Scout, or GitHub Pages output. Triggers on: agent-pulse, Agent Pulse, evidence-backed intelligence, source catalog, signal collection, Event clustering, source audit, Scout opportunity, public export, weekly brief, or AI industry intelligence pipeline.", "category": "research", "subcategory": "intelligence", "interface": "workflow", "path": "agent-pulse/SKILL.md", "tags": [ "agent-pulse", "ai-intelligence", "evidence", "source-catalog", "collectors", "event-clustering", "scout", "github-pages" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "agent-pulse", "version": "1.0", "source": "https://github.com/barretlee/agent-pulse" }, { "name": "marketing-automation", "description": "Route broad product and growth marketing asks into one operating mode, one primary lane, and one reusable operator packet across launch planning, conversion surfaces, lifecycle/retention, acquisition/content, and measurement/experiments. Use when the user needs general marketing help for a website, SaaS product, funnel, onboarding flow, pricing page, campaign, or launch and the first job is deciding the right next brief with owner, dependencies, approvals, and proof instead of producing channel soup. Triggers on: marketing plan, GTM help, launch brief, pricing page refresh, lifecycle email strategy, conversion help, campaign measurement, content plan. Route Steam/store-page game launch work to `steam-store-launch-ops` and backlog/milestone shaping to `task-planning`.", "category": "business", "subcategory": "marketing", "interface": "workflow", "path": "marketing-automation/SKILL.md", "tags": [ "marketing", "cro", "copywriting", "seo", "analytics", "growth", "automation" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Write", "Read", "WebSearch", "WebFetch", "Task" ], "keyword": "marketing-automation", "version": "2.1" }, { "name": "write-like-meng-on-x", "description": "Write, rewrite, review, or continuously refine X/Twitter posts in Meng To's current voice using his deduplicated authored-post corpus, personal and product context, shared resources, and Content repo evidence. Use when asked to improve a tweet in Meng's tone, draft an original post, reply, thread, resource share, or quote post as Meng, check whether an angle repeats an earlier post, study Meng's writing style, ingest another 20-50 authored posts, or hone the reusable Meng X voice profile.", "category": "business", "subcategory": "marketing", "interface": "workflow", "path": "write-like-meng-on-x/SKILL.md", "tags": [ "write", "meng", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "write-like-meng-on-x", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/write-like-meng-on-x" }, { "name": "x-bookmark-quote-posts", "description": "Check a user's latest X/Twitter bookmarks and turn recent saved posts into source-backed quote-post drafts calibrated against the user's latest 100 authored posts. Use when asked to review X bookmarks, create quote posts from bookmarks, refresh a bookmark quote queue, run a bookmark quote automation, study a user's X voice, or write first-person quote posts from X sources.", "category": "business", "subcategory": "marketing", "interface": "workflow", "path": "x-bookmark-quote-posts/SKILL.md", "tags": [ "bookmark", "quote", "posts", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "x-bookmark-quote-posts", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/x-bookmark-quote-posts" }, { "name": "customer-email-draft-threads", "description": "Gmail customer support triage with mandatory full-thread read-back before every reply or follow-up, a draft-only default, per-draft Codex project threads, approval-gated final closure replies with eligible optional Trustpilot review invitations, and approval-gated operations for verified DreamCut Discord invite requests. Use when the user asks to run the customer email automation, check unread/recent support emails, review a customer follow-up, prepare or send Gmail replies, close a positively confirmed resolved case, continue a support handoff, create agent/project threads for drafted follow-up, or fulfill DreamCut Discord access requests.", "category": "business", "subcategory": "support", "interface": "workflow", "path": "customer-email-draft-threads/SKILL.md", "tags": [ "customer", "email", "draft", "threads", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "customer-email-draft-threads", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/customer-email-draft-threads" }, { "name": "customer-support-verification", "description": "Verify customer support work against the selected customer-case flow, full-thread evidence, account and canonical-thread matching, authority, financial approval, customer communication, eligible optional Trustpilot review-request rules, post-action read-back, send confirmation, thread-wide archive, and closure requirements. Use after every SaaS support triage, account/access or unsupported-platform response, duplicate or resolved acknowledgement, positive-confirmation closure reply, cancellation, failed-payment cancellation, refund, accidental-renewal case, support handoff, draft, send, or archive task before reporting completion. Triggers on: verify support case, support closure check, cancellation verification, refund verification, accidental-renewal case, duplicate/resolved acknowledgement, account-access ticket, Trustpilot eligibility, thread read-back before marking done.", "category": "business", "subcategory": "support", "interface": "workflow", "path": "customer-support-verification/SKILL.md", "tags": [ "customer", "support", "verification", "mengto-skills", "codex-workflow" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "customer-support-verification", "version": "1.0", "source": "https://github.com/MengTo/Skills/tree/main/agent-skills/codex/customer-support-verification" }, { "name": "yuwen-publish-precheck", "description": "\u56fd\u5185\u81ea\u5a92\u4f53\u53d1\u5e03\u524d\u98ce\u9669\u81ea\u5ba1\u4e0e\u4fdd\u610f\u4fee\u590d\uff1a\u5ba1\u53e3\u64ad\u7a3f\u3001\u6587\u7ae0\u3001\u56fe\u6587\u7b14\u8bb0\u3001\u5b57\u5e55\u3001\u5c01\u9762\u6587\u5b57\u80fd\u4e0d\u80fd\u53d1\u6296\u97f3/\u5c0f\u7ea2\u4e66/\u5fae\u4fe1\u89c6\u9891\u53f7\uff0c\u7ed9\u51fa\u5177\u4f53\u4f4d\u7f6e\u3001\u4f9d\u636e\u548c\u53ef\u76f4\u63a5\u66ff\u6362\u7684\u6539\u7a3f\uff1b\u88ab\u9650\u6d41/\u5220\u9664/\u5904\u7f5a\u540e\u5e2e\u4f60\u590d\u76d8\u5f52\u56e0\uff1b\u4f60\u7684\u884c\u4e1a\u654f\u611f\u8bcd\u3001\u8bef\u62a5\u767d\u540d\u5355\u548c\u8e29\u5751\u6848\u4f8b\u4f1a\u6c89\u6dc0\u6210\u4e2a\u4eba\u89c4\u5219\u5e93\uff0c\u8d8a\u7528\u8d8a\u51c6\u3002Use when \u7528\u6237\u8bf4\"\u80fd\u4e0d\u80fd\u53d1\"\"\u5ba1\u4e00\u4e0b\u7a3f\u5b50\"\"\u67e5\u8fdd\u7981\u8bcd/\u654f\u611f\u8bcd\"\"\u4f1a\u4e0d\u4f1a\u9650\u6d41/\u88ab\u9650\u6d41\u4e86\"\"\u5e2e\u6211\u6539\u6210\u80fd\u53d1\u7684\u7248\u672c\"\"\u53d1\u5e03\u524d\u68c0\u67e5\"\"\u88ab\u5e73\u53f0\u5904\u7f5a/\u5220\u9664\u4e86\"\"\u5e2e\u6211\u76ef\u7740\u8fd9\u4e2a\u8bcd\"\"\u5bfc\u5165\u8fdd\u7981\u8bcd\u8868\"\u3002Not for \u6d77\u5916\u5e73\u53f0(X/YouTube)\u5185\u5bb9\u5ba1\u6838\u3001\u8d77\u53f7\u6da8\u7c89\u7b56\u7565\u3001\u5199\u7a3f\u521b\u4f5c\u672c\u8eab\u3002", "category": "business", "subcategory": "publishing", "interface": "workflow", "path": "yuwen-publish-precheck/SKILL.md", "tags": [ "content-moderation", "social-media", "publish-precheck", "chinese-platforms" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "yuwen-publish-precheck", "version": "1.0.0", "source": "yuwen-cool/yuwen-publish-precheck" }, { "name": "lapian-notes", "description": "Work with Lapian Notes / \u62c9\u7247\u7b14\u8bb0 (github.com/bkingfilm/lapian-notes) \u2014 a local- first React/Vite tool that turns a film into an editable shot-by-shot study notebook: local frame extraction, AI-assisted structure analysis (bring your own AI, no API key required), story-line swimlane timeline, structure tree, and audience-emotion curve. Use when the user asks about Lapian Notes, \"\u62c9\u7247\u7b14\u8bb0\", \"\u62c9\u7247\" (shot-by-shot film analysis) tooling, cloning/running this repo (npm run dev, run.bat/run.command), the AI-analysis-package (ZIP) round-trip workflow, or contributing a PR to lapian-notes. Not for generic video editing (use `opencut` for that) or generic film-analysis theory unrelated to this codebase.", "category": "utilities", "subcategory": "knowledge", "interface": "library", "path": "lapian-notes/SKILL.md", "tags": [ "lapian-notes", "film-analysis", "shot-by-shot", "ai-assisted", "react", "vite", "typescript", "local-first", "video-notes", "open-source" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "lapian-notes", "version": "1.0", "source": "bkingfilm/lapian-notes" }, { "name": "llm-wiki", "description": "Build and maintain a persistent markdown wiki that an LLM updates on the user's behalf, usually inside an Obsidian vault or git-tracked notes repo. Use when raw sources such as web articles, papers, meeting notes, transcripts, screenshots, or past analyses need to be turned into an interlinked knowledge base with immutable source files, LLM-written wiki pages, `index.md`, `log.md`, schema rules in `AGENTS.md` or `CLAUDE.md`, source summaries, query notes, and recurring lint passes. Triggers on: llm-wiki, personal wiki, obsidian wiki, research vault, knowledge base, source ingest, persistent notes, wiki maintenance, source summaries, query filing.", "category": "utilities", "subcategory": "knowledge", "interface": "workflow", "path": "llm-wiki/SKILL.md", "tags": [ "llm-wiki", "obsidian", "knowledge-base", "markdown", "research", "synthesis", "scrapling", "qmd", "notes", "wiki" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep", "WebFetch" ], "keyword": "llm-wiki", "version": "1.0", "source": "https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f" }, { "name": "notebooklm", "description": "Queries managed Google NotebookLM notebooks for citation-backed, source-grounded answers via local Claude Code browser automation; use for uploaded sources, not live web search.", "category": "utilities", "subcategory": "knowledge", "interface": "workflow", "path": "notebooklm/SKILL.md", "tags": [ "notebooklm", "google", "browser-automation", "patchright", "research", "notebook", "knowledge-base", "citation", "grounded-answers" ], "platforms": [ "Claude Code" ], "allowed_tools": [ "Bash", "Read", "Write", "Glob", "Grep" ], "keyword": "notebooklm", "version": "1.3.0", "source": "PleasePrompto/notebooklm-skill" }, { "name": "obsidian-mind", "description": "Route obsidian-mind work into the right mode: install/bootstrap the vault (ShardMind vs git clone), the daily standup/dump/wrap-up session loop, capture routes for decisions, incidents, 1:1s, and wins, the performance-graph review flow (/om-review-brief, /om-self-review, /om-peer-scan), vault maintenance and /om-vault-upgrade migration, multi-agent wiring across Claude Code, Codex CLI, and Gemini CLI, and optional QMD semantic search. obsidian-mind is a specific ready-made Obsidian vault template giving coding agents persistent, session-spanning memory through five lifecycle hooks, /om-* commands, subagents, and a competency graph \u2014 not a generic vault-building or wiki-authoring workflow. Triggers on: obsidian-mind, om-standup, om-dump, om-wrap-up, om-review-brief, om-self-review, om-peer-scan, om-vault-upgrade, brag doc, North Star.md, performance graph, competency notes, session lifecycle hooks, shardmind install obsidian-mind.", "category": "utilities", "subcategory": "knowledge", "interface": "cli", "path": "obsidian-mind/SKILL.md", "tags": [ "obsidian-mind", "obsidian", "agent-memory", "persistent-memory", "session-hooks", "performance-review", "brag-doc", "shardmind", "claude-code", "codex-cli", "gemini-cli", "qmd" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "obsidian-mind", "version": "1.0", "source": "https://github.com/breferrari/obsidian-mind" }, { "name": "obsidian-second-brain", "description": "Routing front door for obsidian-second-brain \u2014 a self-rewriting Obsidian vault that evolves Karpathy's LLM-Wiki pattern. Every source REWRITES existing pages instead of appending: people updated, claims revised, contradictions reconciled, patterns synthesized automatically. 45 commands across 4 layers, background + 4 scheduled agents, 4 role presets, AI-first write validator. Cross-CLI: Claude Code, Codex CLI, Gemini CLI, OpenCode.", "category": "utilities", "subcategory": "knowledge", "interface": "cli", "path": "obsidian-second-brain/SKILL.md", "tags": [ "obsidian-second-brain", "obsidian", "second-brain", "llm-wiki", "knowledge-vault", "note-taking", "self-rewriting", "contradiction-reconciliation", "synthesis", "research-toolkit", "cross-cli", "claude-code", "codex", "gemini", "opencode" ], "platforms": [ "Claude", "Codex", "Gemini", "OpenCode", "All" ], "allowed_tools": [ "Read", "Write", "Edit", "Bash", "Grep", "Glob", "WebFetch" ], "keyword": "obsidian-second-brain", "version": "1.0.0", "source": "akillness/jeo-skills" }, { "name": "opencontext", "description": "Route active project/repo memory requests into one honest packet: memory-layer choice, load-context, search-context, store-conclusions, setup-integration, or repo-packer route-out. Use when agents need searchable decisions, manifests, stable links, handoff notes, and small \u201cread this first\u201d packets across sessions. Route long-lived markdown knowledge bases to `llm-wiki`, structural graph memory to `graphify`, human-authored vault organization to note/vault skills, and one-shot repo packing to tools like Repomix, Gitingest, or Code2Prompt.", "category": "utilities", "subcategory": "knowledge", "interface": "workflow", "path": "opencontext/SKILL.md", "tags": [ "opencontext", "context-management", "memory", "project-memory", "multi-agent", "handoff", "stable-links", "manifests" ], "platforms": [ "Claude", "Gemini", "ChatGPT", "Codex", "Cursor" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "opencontext", "version": "2.1", "source": "OpenContext Multi-Agent Workflow Guide + upstream OpenContext README" }, { "name": "file-organization", "description": "Design or refactor project structure around the right boundary unit: feature, shared layer, route segment, or workspace package. Use when a repo feels scattered, a team needs naming/import conventions, or the user must choose between type-based, feature-based, framework-colocated, and workspace layouts. Triggers on: file organization, folder structure, project structure, reorganize repo, feature folders, shared vs feature code, where should this file live, apps/packages split, and project layout refactor.", "category": "utilities", "subcategory": "files", "interface": "library", "path": "file-organization/SKILL.md", "tags": [ "project-structure", "folder-structure", "feature-based-architecture", "naming-conventions", "monorepo", "migration" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Read", "Write", "Bash", "Grep", "Glob" ], "keyword": "file-organization", "version": "2.0", "source": "akillness/jeo-skills" }, { "name": "git-guardrails-claude-code", "description": "Installs Claude Code PreToolUse safeguards against destructive Git commands; use to protect repositories, not for general Git workflow guidance.", "category": "utilities", "subcategory": "git", "interface": "workflow", "path": "git-guardrails-claude-code/SKILL.md", "tags": [ "git", "safety", "hooks", "destructive-operations", "guardrails", "claude-code" ], "platforms": [ "Claude" ], "allowed_tools": [ "Read", "Grep", "Glob", "Bash", "Write", "Edit" ], "keyword": "git-guardrails-claude-code", "version": "1.0", "source": "mattpocock/skills" }, { "name": "git-submodule", "description": "Decide when Git submodules are the right external-repo boundary, then choose one safe operator flow: add and pin, bootstrap recursively, sync to the recorded commit, advance a tracked branch, edit inside the submodule without detached-HEAD surprises, remove cleanly, or configure CI/hosted-platform checkout constraints. Use when the user asks about `.gitmodules`, `git submodule`, recursive clone/setup, pointer updates, detached HEAD, private submodules in CI, GitHub Pages submodule limits, or submodule vs subtree/vendoring/package delivery. Not for generic Git history cleanup or package-manager dependency delivery.", "category": "utilities", "subcategory": "git", "interface": "workflow", "path": "git-submodule/SKILL.md", "tags": [ "git", "submodule", "subtree", "dependencies", "version-control", "ci", "repo-structure" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex", "OpenCode" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "git-submodule", "version": "2.1.0", "source": "akillness/jeo-skills" }, { "name": "git-workflow", "description": "Route local Git work into the safest next move: branch hygiene, selective staging, commit cleanup, merge-vs-rebase choice, conflict resolution, lease-safe pushes, and recovery from resets or bad history edits. Use when the user needs help preparing a branch, cleaning up commits, syncing with an updated base, resolving local Git conflicts, pushing rewritten history safely, recovering lost commits, or getting a diff ready for review. Not for hosted PR review, repo administration, or sprint planning.", "category": "utilities", "subcategory": "git", "interface": "workflow", "path": "git-workflow/SKILL.md", "tags": [ "git", "version-control", "branching", "commits", "rebasing", "conflict-resolution", "recovery", "collaboration" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex", "OpenCode" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "git-workflow", "version": "1.2", "source": "akillness/jeo-skills" }, { "name": "game-sounds", "description": "Install, configure, and troubleshoot Citedy's game-sounds feedback audio for Claude Code and supported CLI environments. Use when a user wants coding-agent event sounds, sound-pack rotation, volume or event toggles, playback checks, custom packs, or the game-sounds CLI/plugin. Triggers on: game-sounds, coding sounds, Claude hook sounds, task-complete sound, sound pack rotation, or @citedy/game-sounds.", "category": "utilities", "subcategory": "workspace", "interface": "cli", "path": "game-sounds/SKILL.md", "tags": [ "utilities", "developer-experience", "audio", "claude-code", "hooks", "sound-packs" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "game-sounds", "version": "1.0.0", "source": "https://github.com/Citedy/game-sounds" }, { "name": "sprint-retrospective", "description": "Facilitate sprint retrospectives, milestone postmortems, or iteration reviews that turn completed work into a few owned process improvements instead of another stale template ritual. Use when the user needs a retrospective mode, remote or hybrid facilitation plan, action-item follow-through reset, or help reviewing what the team should change after a sprint, release, milestone, or rough delivery cycle. Route backlog planning to `task-planning`, sizing to `task-estimation`, daily coordination to `standup-meeting`, and deep incident forensics to debugging/incident-specific skills.", "category": "utilities", "subcategory": "project-management", "interface": "workflow", "path": "sprint-retrospective/SKILL.md", "tags": [ "retrospective", "sprint-retro", "postmortem", "async-retro", "hybrid-retro", "agile", "project-management", "game-development" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "sprint-retrospective", "version": "1.2", "source": "akillness/jeo-skills" }, { "name": "standup-meeting", "description": "Turn messy daily-sync requests into one honest coordination-cadence packet: decide whether live-daily, async-daily, hybrid-daily, less-frequent syncs, or no recurring standup is justified, then pick the lightest standup mode that still catches blockers and handoffs. Use when the user needs a daily scrum, async check-in, board-walk, blocker-first sync, remote-team standup, launch- week cadence reset, or help fixing an overlong / low-signal standup. Route backlog planning to `task-planning`, sizing to `task-estimation`, retrospective process repair to `sprint-retrospective`, and incident-command work to debugging / launch-specific skills.", "category": "utilities", "subcategory": "project-management", "interface": "workflow", "path": "standup-meeting/SKILL.md", "tags": [ "standup", "daily-scrum", "async-standup", "blocker-triage", "agile", "project-management", "delivery-sync", "hybrid-teams" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "standup-meeting", "version": "2.0.0", "source": "akillness/jeo-skills" }, { "name": "task-estimation", "description": "Turn fuzzy work into one honest estimate packet by choosing the right sizing horizon, naming confidence and uncertainty, and separating discovery from delivery before anyone treats the number like a promise. Use when the user needs story points, t-shirt sizing, planning-poker prep, forecast-safe language, split-or-spike guidance, or cross-functional sizing across developer workflow, web/fullstack, product/ops, marketing/GTM, or game work. Route decomposition to `task-planning`, daily coordination to `standup-meeting`, and retrospective process learning to `sprint-retrospective`.", "category": "utilities", "subcategory": "project-management", "interface": "workflow", "path": "task-estimation/SKILL.md", "tags": [ "task-estimation", "story-points", "t-shirt-sizing", "planning-poker", "forecasting", "uncertainty", "project-management", "game-development" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "task-estimation", "version": "2.0.0", "source": "akillness/jeo-skills" }, { "name": "task-planning", "description": "Turn vague features, bug clusters, roadmap items, launch work, or playtest findings into one execution-ready planning packet by choosing the right packet type, separating discovery from delivery, and making blockers, dependencies, and the next move explicit. Use when the user needs backlog cleanup, feature slicing, sprint or milestone prep, release planning, or roadmap-to-delivery translation across developer workflow, web/fullstack, product/ops, marketing/GTM, or game work. Route sizing to `task-estimation`, issue-state governance to `triage`, plan review to `plannotator`, daily syncs to `standup-meeting`, retros to `sprint-retrospective`, and pre-planning concept framing to `bmad`, `bmad-idea`, or `bmad-gds`.", "category": "utilities", "subcategory": "project-management", "interface": "workflow", "path": "task-planning/SKILL.md", "tags": [ "task-planning", "backlog-grooming", "sprint-planning", "milestone-planning", "roadmap-slicing", "feature-breakdown", "launch-planning", "game-development" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "task-planning", "version": "2.1.0", "source": "akillness/jeo-skills" }, { "name": "google-workspace", "description": "Plan and execute Google Workspace operations across Docs, Sheets, Slides, Drive, Gmail, Calendar, Forms, Chat, and Admin SDK by choosing the right surface first: Apps Script, direct REST API, or admin-only APIs. Use when the user needs to automate a Workspace workflow, edit or create Workspace files, send Gmail, schedule calendar events, process Forms/Sheets pipelines, manage Drive sharing, or handle Workspace admin tasks; even if they only mention a spreadsheet, document, shared drive, inbox workflow, approval flow, or domain user change. Triggers on: Google Doc, Google Sheet, spreadsheet, Slides, Drive folder, Gmail, calendar event, Forms, Apps Script, Admin SDK, shared drive, Google Chat, workspace automation, domain user, send email, approval flow.", "category": "utilities", "subcategory": "productivity", "interface": "library", "path": "google-workspace/SKILL.md", "tags": [ "google-workspace", "google-docs", "google-sheets", "google-slides", "google-drive", "gmail", "google-calendar", "google-chat", "google-forms", "admin-sdk", "apps-script", "automation" ], "platforms": [ "Claude", "Gemini", "Codex", "OpenCode" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "google-workspace", "version": "1.1.0" }, { "name": "nightrun", "description": "Build, test, run, and flash NightRun \u2014 a bare-metal, no_std Rust UEFI application that boots straight into a local LLM (Llama 3.2, Qwen3, or Granite 4.1) with no operating system underneath. Use when the user wants to build/flash a bootable NightRun USB or Raspberry Pi 5 SD image, convert a GGUF model into the `.nrm` container, run/debug the inference engine on the host or in QEMU/OVMF, or troubleshoot no_std kernel/tokenizer parity issues in the NightRun codebase. Triggers on: \"nightrun\", \"boot into an LLM\", \"bare-metal LLM runtime\", \"UEFI LLM appliance\", \"nrconvert\", \"nrhost\", \"cargo xtask\", \"nrm model file\", \"flash a bootable LLM USB\".", "category": "engineering", "subcategory": "architecture", "interface": "workflow", "path": "nightrun/SKILL.md", "tags": [ "nightrun", "rust", "no_std", "uefi", "bare-metal", "local-llm", "gguf", "qemu", "raspberry-pi" ], "platforms": [], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "nightrun", "version": "1.0", "source": "hardrave/NIGHTRUN" }, { "name": "soup", "description": "Drive Soup (`soup-cli`), a CLI-first tool for fine-tuning and post-training LLMs with one YAML config and one command \u2014 SFT, DPO/GRPO/ORPO/SimPO/KTO, QLoRA/DoRA/LoRA+, layer streaming for 4-8 GB GPUs, eval-gated training, and serving. Use when the user wants to `soup init`/`soup train` a model, pick a training method or quantization scheme, estimate cost/memory before training, fine-tune on a small local GPU, migrate a config from Axolotl/LLaMA-Factory/Unsloth, or serve/merge/push a trained adapter. Triggers on: \"soup-cli\", \"soup train\", \"soup init\", \"fine-tune an LLM locally\", \"QLoRA on a laptop GPU\", \"layer streaming\", \"soup advise\", \"soup autopilot\", \"DPO/GRPO/ORPO training\", \"merge LoRA adapter\".", "category": "cli-tools", "subcategory": "ai-cli", "interface": "workflow", "path": "soup/SKILL.md", "tags": [ "soup", "soup-cli", "llm-fine-tuning", "post-training", "sft", "dpo", "grpo", "qlora", "lora", "layer-streaming", "peft", "trl" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "soup", "version": "1.0", "source": "MakazhanAlpamys/Soup" }, { "name": "palmier-pro", "description": "Drive Palmier Pro, an open source AI-native macOS video editor (Swift, SwiftUI/AppKit, AVFoundation) that exposes its timeline as an MCP server at `http://127.0.0.1:19789/mcp` so Claude Code/Desktop, Cursor, or Codex can read and edit a project's tracks, clips, media, transcript, captions, color/effects, and trigger generative AI (video/image/audio) requests side-by-side with a human editor. Use when the user wants to connect an agent to Palmier Pro's MCP server, call its timeline/clip/media/generation tools (`get_timeline`, `add_clips`, `move_clips`, `generate_video`, ...), build/run/test the Swift app from source, or debug the MCP tool surface in `ToolDefinitions.swift`/`ToolExecutor+*.swift`. Triggers on: \"palmier pro\", \"palmier-pro\", \"AI video editor MCP\", \"connect Claude to my video editor\", \"palmier MCP server\", \"edit my timeline with an agent\", \"swift build PalmierPro\", \"palmier-pro mcpb\", \"manage_project\"/\"get_timeline\"/\"add_clips\" tool.", "category": "creative-media", "subcategory": "video", "interface": "workflow", "path": "palmier-pro/SKILL.md", "tags": [ "palmier-pro", "video-editor", "mcp", "swift", "swiftui", "avfoundation", "ai-video", "timeline-editing", "macos", "generative-ai" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "palmier-pro", "version": "1.0", "source": "https://github.com/palmier-io/palmier-pro" }, { "name": "codeburn", "description": "Drive CodeBurn, a free open-source local-first CLI/TUI/web/menubar tool that reads the session files already on disk from 40 AI coding tools (Claude Code, Codex, Cursor, Gemini CLI, Grok, OpenCode, and more) and breaks down token usage and dollar cost by task, model, tool, and project. Use when the user wants to see where their AI coding spend went, find and fix token waste in a Claude Code / agent setup, cap a session's budget before it runs away, compare which model is actually worth its price, check whether AI spend shipped or was reverted, or wire live usage/savings data into an agent over MCP. Triggers on: \"codeburn\", \"npx codeburn\", \"AI token usage\", \"AI coding cost\", \"where did my Claude spend go\", \"codeburn optimize\", \"codeburn guard\", \"codeburn compare models\", \"codeburn yield\", \"token waste in CLAUDE.md\", \"AI spend dashboard\".", "category": "cli-tools", "subcategory": "developer-cli", "interface": "workflow", "path": "codeburn/SKILL.md", "tags": [ "codeburn", "ai-cost-tracking", "token-usage", "claude-code", "codex", "cursor", "observability", "cost-optimization", "cli", "mcp", "tui", "guard-hooks" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "codeburn", "version": "1.0", "source": "https://github.com/getagentseal/codeburn" }, { "name": "watermarks-remover", "description": "Strip multi-vendor AI provenance marks from text and files using the guillaumemeyer/watermarks-remover Python toolkit: invisible Unicode/space homoglyphs (Layer A, deterministic), statistical token-sampling watermarks via agent-guided rewrite (Layer B, best-effort), and C2PA/EXIF/XMP/doc-props metadata on PNG, JPEG, SVG, PDF, DOCX, ODT, HTML, and Markdown. Covers Claude, Gemini/SynthID-Text, OpenAI provenance surfaces, and open-LLM Kirchenbauer-style marks, plus optional external backends for SynthID pixel scoring and CtrlRegen pixel-domain removal. Use when the user wants to strip AI watermarks, remove C2PA / Content Credentials, clean AI metadata from a file, remove invisible Unicode / zero-width characters from AI-generated text, or audit a directory/website for AI provenance signals. Triggers on: \"remove watermark\", \"strip C2PA\", \"remove AI metadata\", \"clean invisible unicode\", \"remove-ai-marks\", \"SynthID removal\", \"audit_dir.py\", \"Layer A / Layer B watermark removal\".", "category": "utilities", "subcategory": "files", "interface": "workflow", "path": "watermarks-remover/SKILL.md", "tags": [ "watermark-removal", "ai-provenance", "c2pa", "synthid", "unicode-scrub", "metadata-stripping", "privacy-hygiene", "exif", "content-credentials", "python" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "watermarks-remover", "version": "1.0", "source": "https://github.com/guillaumemeyer/watermarks-remover" }, { "name": "chatbot-template", "description": "Scaffold and extend chatbot-template, shadcn/ui's minimal Next.js starter for building an AI chatbot with the AI SDK, shadcn/react, shadcn/typeset, and the Vercel AI Gateway. It ships streaming markdown chat, tool calling (a server-executed GitHub repo lookup, provider-native web search, and a human-in-the-loop `ask_user` questionnaire), and one-click Vercel deploy with OIDC gateway auth. Use when the user wants to spin up a Next.js AI chat app fast, add a custom tool with a typed UI part, swap or restrict the model list, or harden the public `/api/chat` route before shipping. Triggers on: \"chatbot-template\", \"shadcn chatbot\", \"AI SDK chat app\", \"Next.js AI SDK starter\", \"Vercel AI Gateway chat\", \"streaming chat with shadcn/typeset\", \"ask_user questionnaire tool\", \"shadcn/react message scroller\".", "category": "web", "subcategory": "frontend", "interface": "workflow", "path": "chatbot-template/SKILL.md", "tags": [ "chatbot-template", "nextjs", "ai-sdk", "shadcn-ui", "shadcn-react", "vercel-ai-gateway", "streaming-chat", "tool-calling", "react" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "chatbot-template", "version": "1.0", "source": "https://github.com/shadcn-ui/chatbot-template" }, { "name": "mcp-server-sv-number", "description": "Drive the SV Number MCP server (`sv-number-mcp`), nine stdio tools that order a private phone number for one signup, read the SMS verification code straight from the API, and hand the number back \u2014 covering 200+ countries. Use when an agent hits a signup form that needs a real phone number for an OTP/SMS code, when picking a country or service code (`list_countries`, `list_services`), ordering and polling a number (`order_number`, `wait_for_code`), closing out an activation (`finish_activation`, `cancel_activation`, `request_another_sms`), checking account balance (`get_balance`), or computing a TOTP/2FA code locally from a shared secret (`totp_code`). Triggers on: \"sv-number\", \"sv-number-mcp\", \"SMS verification number\", \"order a phone number for OTP\", \"receive SMS verification code\", \"temporary/virtual number for signup\", \"sms-verification-number.com\", \"wait_for_code\", \"totp_code\", \"phone number MCP server for agents\".", "category": "cli-tools", "subcategory": "ai-cli", "interface": "workflow", "path": "mcp-server-sv-number/SKILL.md", "tags": [ "mcp", "mcp-server", "sms", "otp", "phone-verification", "sms-verification", "sv-number", "ai-agents", "stdio", "npx", "totp" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "mcp-server-sv-number", "version": "1.0", "source": "https://github.com/sv-number/mcp-server" }, { "name": "airship", "description": "Drive Airship (`@airshiplabs/cli`), a CLI that puts a visual, pannable design canvas in front of a running dev server so an engineer can click an element, describe a change, and have Claude Code, Codex, or OpenCode edit the underlying source file directly \u2014 no plugin, no build config, nothing added to the project. Use when the user wants to launch a visual editor over a local dev server (`npx @airshiplabs/cli --target `), pick or compare coding agents (`--agent claude|codex|opencode`) for live UI edits, sandbox agent edits with `--safe`, scaffold an `airship.config.json` (`airship init`), or diagnose a broken setup (`airship doctor`). Triggers on: \"airship\", \"@airshiplabs/cli\", \"visual editor for my codebase\", \"click to edit UI\", \"design canvas over dev server\", \"airship doctor\", \"airship init\", \"pair Claude Code with a visual editor on localhost\".", "category": "web", "subcategory": "frontend", "interface": "workflow", "path": "airship/SKILL.md", "tags": [ "airship", "visual-editor", "design-canvas", "dev-server", "claude-code", "codex", "opencode", "cli", "frontend-tooling", "ui-editing" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "airship", "version": "1.0", "source": "https://github.com/0xnyn/airship" }, { "name": "kadath", "description": "Run KADATH (Kernel for Agentic Darwinian Adaptation, Tooling, and Heredity), a Docker-based evolutionary kernel that turns a goal into a locked, Architect-authored benchmark, then evolves a population of smolagents-based coding agents across epochs: each agent runs in an isolated container, gets graded against frozen evidence, and the population is culled, mutated, and reproduced generation over generation until it converges on the best-performing agent framework for that goal. Use when the user wants to propose/approve/run a KADATH evolutionary run, check a run's status or live dashboard, pause/resume/continue a run, export the winning agent population, or understand its Architect/Grader/Tweaker/Birther pipeline, evidence-freezing, or genome lineage/memory model. Triggers on: \"kadath\", \"kadath.sh\", \"evolve an agent\", \"Darwinian agent evolution\", \"agent population fitness benchmark\", \"smolagents evolutionary run\", \"kadath dashboard\", \"genome lineage\", \"epoch champions\".", "category": "ai-agents", "subcategory": "evaluation", "interface": "workflow", "path": "kadath/SKILL.md", "tags": [ "kadath", "evolutionary-agents", "smolagents", "multi-agent", "agent-benchmarking", "docker", "llm-agents", "genetic-algorithm", "python" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "kadath", "version": "1.0", "source": "https://github.com/i3T4AN/KADATH" }, { "name": "moli", "description": "Drive Moli (`moli`), Lexmount's open-source headless browser for AI agents, built around on-demand rendering: real JavaScript, DOM, and CSS by default, with layout and pixels computed only when explicitly requested via `--layout`. Use when the user wants to fetch/extract a live JavaScript-rendered page as Markdown/HTML/JSON/semantic-tree, capture a screenshot or PDF, run a small bounded crawl, start a CDP/WebDriver automation server for Playwright/Puppeteer, replace a Chromium/ChromeDriver dependency, or diagnose readiness/network/frame issues on a rendered page. Triggers on: \"moli fetch\", \"moli serve\", \"headless browser for agents\", \"on-demand rendering browser\", \"CDP server without Chrome\", \"structure-first web scraping\", \"Lexmount browser\", \"moli-webfetch\", \"moli-cdp-server\".", "category": "web", "subcategory": "capture", "interface": "workflow", "path": "moli/SKILL.md", "tags": [ "moli", "lexmount", "headless-browser", "cdp", "webdriver", "web-scraping", "browser-automation", "playwright", "puppeteer", "rust" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "moli", "version": "1.0", "source": "https://github.com/lexmount/moli" }, { "name": "mex", "description": "Drive mex (`mex-agent`), persistent project memory and code graphs for AI coding agents. One command scaffolds a living wiki, builds a deterministic code graph, and installs a project anchor file (CLAUDE.md, root AGENTS.md, .cursorrules, .windsurfrules, copilot-instructions.md, or .opencode/opencode.json) that your agent auto-loads as a standing rule document. Use when the user wants to `mex setup` a new project, build a symbol-grounded wiki, keep knowledge connected to implementation, route relevant context to agents, or run drift detection (`mex check`, `mex sync`). Triggers on: \"mex setup\", \"project memory\", \"code graphs\", \"codebase documentation\", \"drift detection\", \"agent memory\", \"structured scaffolds\", \"architectural context\", \"living wiki\", \"project anchor file\".", "category": "ai-agents", "subcategory": "memory", "interface": "cli", "path": "mex/SKILL.md", "tags": [ "mex", "mex-agent", "project-memory", "code-graphs", "drift-detection", "documentation", "agent-memory", "living-wiki", "tree-sitter", "sqlite", "cli", "project-anchor" ], "platforms": [ "Claude", "ChatGPT", "Gemini", "Codex", "Cursor", "Windsurf", "jeo", "gjc", "jeopi", "OpenCode" ], "allowed_tools": [ "Bash", "Read", "Write", "Edit", "Glob", "Grep" ], "keyword": "mex", "version": "1.1", "source": "mex-memory/mex" } ] }