[ { "date": "2025-09-29", "concept": "fuzzy symbol-graph watch-app", "summary": "A watch-app that can back-test and manage performance-counters with a focus on fuzzy symbol-graph.", "tags": [ "fuzzy", "symbol-graph", "watch-app" ], "theme": "productivity", "slug": "fuzzy-symbol-graph-watch-app", "repo_name": "fuzzy-symbol-graph-watch-app-2025-09-29", "source": "azure", "ai_summary": { "text": "A productivity-focused watch app that models your habits and metrics as a fuzzy symbol-graph, enabling on-wrist back-testing of performance-counters to optimize routines and goals. It helps you visualize uncertain relationships between activities and outcomes so you can refine behaviors in real time.", "examples": [ "Action 1: Back-test the last 14 days of your 'Deep Work' routine by replaying performance-counters across the fuzzy symbol-graph watch-app and comparing node membership trends to your baseline.", "Action 2: Add a 'Focus' symbol node with fuzzy weights for energy and interruptions, then configure the fuzzy symbol-graph watch-app to auto-adjust daily targets when the edge confidence drops below 0.6.", "Action 3: Pin the 'Hydration' node as a complication in the fuzzy symbol-graph watch-app and trigger a haptic alert when its counter deviates by 20% from the expected path during a work session." ], "source": "azure", "generated_at": "2025-09-29T07:29:12.322320Z" } }, { "date": "2025-09-28", "concept": "fuzzy service-mesh library", "summary": "A library that can transcode and manage terraform states with a focus on fuzzy service-mesh.", "tags": [ "fuzzy", "library", "service-mesh" ], "theme": "observability", "slug": "fuzzy-service-mesh-library", "repo_name": "fuzzy-service-mesh-library-2025-09-28", "source": "azure", "ai_summary": { "text": "The fuzzy service-mesh library ingests and transcodes Terraform state into a mesh-aware model, applying fuzzy matching to relate infrastructure resources to services for better observability. This enables teams to correlate state changes with mesh telemetry, detect drift, and understand topology and SLO impacts in near real time.", "examples": [ "Use the fuzzy service-mesh library to transcode an existing Terraform .tfstate into a fuzzy service graph and export OpenTelemetry spans and metrics for each mesh workload and edge.", "Configure the fuzzy service-mesh library to reconcile Terraform state drift into service-mesh policies (timeouts, retries, circuit breakers) by applying fuzzy selectors on service labels and annotations.", "Integrate the fuzzy service-mesh library into a canary rollout to tag mesh routes with SLO metadata and emit anomaly alerts when Terraform-applied changes alter traffic distribution beyond fuzzy-defined thresholds." ], "source": "azure", "generated_at": "2025-09-28T07:24:27.319169Z" } }, { "date": "2025-09-27", "concept": "biometric static-site-generator daemon", "summary": "A daemon that can summarize and manage discord-channels with a focus on biometric static-site-generator.", "tags": [ "biometric", "daemon", "static-site-generator" ], "theme": "automation", "slug": "biometric-static-site-generator-daemon", "repo_name": "biometric-static-site-generator-daemon-2025-09-27", "source": "azure", "ai_summary": { "text": "A background daemon that summarizes Discord channels and automates a biometric static-site-generator to publish privacy-aware, organized static knowledge hubs. It streamlines content workflows while enforcing biometric redaction and compliance.", "examples": [ "Action 1: Configure the biometric static-site-generator daemon to ingest the #dev-updates Discord channel and auto-publish daily conversation summaries to a static site.", "Action 2: Attach a biometric redaction policy to the biometric static-site-generator daemon so it removes PII and sensitive biometric markers from Discord messages before rendering pages.", "Action 3: Schedule the biometric static-site-generator daemon to generate tag-based archives and RSS feeds for 'biometric', 'daemon', and 'static-site-generator' Discord channels." ], "source": "azure", "generated_at": "2025-09-27T07:23:19.117621Z" } }, { "date": "2025-09-26", "concept": "generative graphql-gateway service", "summary": "A service that can transcode and manage medical-records with a focus on generative graphql-gateway.", "tags": [ "generative", "graphql-gateway", "service" ], "theme": "devtools", "slug": "generative-graphql-gateway-service", "repo_name": "generative-graphql-gateway-service-2025-09-26", "source": "azure", "ai_summary": { "text": "A service that can transcode and manage medical-records with a focus on generative graphql-gateway. It aligns to the devtools theme; touching generative, graphql-gateway, service.", "examples": [ "Ship a tiny generative graphql-gateway service prototype end-to-end (README + demo)", "Integrate generative graphql-gateway service into an existing repo and add basic metrics", "Instrument generative graphql-gateway service and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-26T07:28:19.437087Z" } }, { "date": "2025-09-25", "concept": "interpretable symbol-graph desktop-app", "summary": "A desktop-app that can back-test and manage json-api with a focus on interpretable symbol-graph.", "tags": [ "desktop-app", "interpretable", "symbol-graph" ], "theme": "data", "slug": "interpretable-symbol-graph-desktop-app", "repo_name": "interpretable-symbol-graph-desktop-app-2025-09-25", "source": "azure", "ai_summary": { "text": "A desktop-app that can back-test and manage json-api with a focus on interpretable symbol-graph. It aligns to the data theme; touching desktop-app, interpretable, symbol-graph.", "examples": [ "Ship a tiny interpretable symbol-graph desktop-app prototype end-to-end (README + demo)", "Integrate interpretable symbol-graph desktop-app into an existing repo and add basic metrics", "Instrument interpretable symbol-graph desktop-app and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-25T07:28:54.515965Z" } }, { "date": "2025-09-24", "concept": "distributed augmented-reality framework", "summary": "A framework that can authenticate and manage financial-statements with a focus on distributed augmented-reality.", "tags": [ "augmented-reality", "distributed", "framework" ], "theme": "security", "slug": "distributed-augmented-reality-framework", "repo_name": "distributed-augmented-reality-framework-2025-09-24", "source": "azure", "ai_summary": { "text": "A framework that can authenticate and manage financial-statements with a focus on distributed augmented-reality. It aligns to the security theme; touching augmented-reality, distributed, framework.", "examples": [ "Ship a tiny distributed augmented-reality framework prototype end-to-end (README + demo)", "Integrate distributed augmented-reality framework into an existing repo and add basic metrics", "Instrument distributed augmented-reality framework and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-24T07:28:42.377755Z" } }, { "date": "2025-09-23", "concept": "stateless data-lineage cli", "summary": "A cli that can embed and manage performance-counters with a focus on stateless data-lineage.", "tags": [ "cli", "data-lineage", "stateless" ], "theme": "ml", "slug": "stateless-data-lineage-cli", "repo_name": "stateless-data-lineage-cli-2025-09-23", "source": "azure", "ai_summary": { "text": "A command-line tool that embeds and manages performance counters across ML pipelines while emitting stateless data-lineage events, enabling reproducible tracking without persistent state. It lets teams trace dataset/model transformations and benchmark runs end-to-end with minimal overhead.", "examples": [ "Action 1: Use the stateless data-lineage cli to embed performance-counters (latency, throughput, GPU-util) into a training job and tag them with a run-id and model-version.", "Action 2: Emit stateless lineage events for each dataset→feature→model transformation step and route them to a collector using the stateless data-lineage cli.", "Action 3: Export a lineage graph and counter summary for a specific run by aggregating emitted events with the stateless data-lineage cli and write the report to JSON for CI artifacts." ], "source": "azure", "generated_at": "2025-09-23T07:28:05.218685Z" } }, { "date": "2025-09-22", "concept": "collaborative dns cli", "summary": "A cli that can prune and manage performance-counters with a focus on collaborative dns.", "tags": [ "cli", "collaborative", "dns" ], "theme": "productivity", "slug": "collaborative-dns-cli", "repo_name": "collaborative-dns-cli-2025-09-22", "source": "azure", "ai_summary": { "text": "A cli that can prune and manage performance-counters with a focus on collaborative dns. It aligns to the productivity theme; touching cli, collaborative, dns.", "examples": [ "Ship a tiny collaborative dns cli prototype end-to-end (README + demo)", "Integrate collaborative dns cli into an existing repo and add basic metrics", "Instrument collaborative dns cli and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-22T07:29:03.451430Z" } }, { "date": "2025-09-21", "concept": "containerized etl controller", "summary": "A controller that can authenticate and manage docker containers with a focus on containerized etl.", "tags": [ "containerized", "controller", "etl" ], "theme": "observability", "slug": "containerized-etl-controller", "repo_name": "containerized-etl-controller-2025-09-21", "source": "azure", "ai_summary": { "text": "The containerized etl controller authenticates to Docker registries and orchestrates ETL containers end-to-end while providing deep observability into runs, metrics, and logs. It adds reliability and auditability to containerized ETL pipelines at scale.", "examples": [ "Use the containerized etl controller to authenticate against a private Docker registry and pull ETL images for scheduled runs", "Configure the containerized etl controller to emit OpenTelemetry traces, Prometheus metrics, and structured logs for each containerized ETL run", "Define a job spec for the containerized etl controller to launch ETL containers with resource limits, secrets mounts, and retry policies, and to surface run status via health checks" ], "source": "azure", "generated_at": "2025-09-21T07:23:25.759192Z" } }, { "date": "2025-09-20", "concept": "graph-based metrics virtual-machine", "summary": "A virtual-machine that can ingest and manage email with a focus on graph-based metrics.", "tags": [ "graph-based", "metrics", "virtual-machine" ], "theme": "automation", "slug": "graph-based-metrics-virtual-machine", "repo_name": "graph-based-metrics-virtual-machine-2025-09-20", "source": "azure", "ai_summary": { "text": "A graph-based metrics virtual-machine ingests and manages email, building a communication graph and computing actionable metrics to automate insights like influence, anomalies, and workflow bottlenecks. This enables teams to monitor email ecosystems and trigger automated responses based on graph signals.", "examples": [ "Deploy the graph-based metrics virtual-machine via Terraform, mount /data for message storage, and connect IMAP/SMTP credentials to auto-ingest and normalize emails.", "Configure the graph-based metrics virtual-machine to generate a sender–recipient communication graph and compute PageRank, betweenness centrality, and community labels on an hourly cron job.", "Set up the graph-based metrics virtual-machine to emit webhook alerts when graph anomaly scores exceed a threshold and export daily metrics to S3 and Prometheus for dashboards." ], "source": "azure", "generated_at": "2025-09-20T07:24:47.172830Z" } }, { "date": "2025-09-19", "concept": "quantum git controller", "summary": "A controller that can simulate and manage support-tickets with a focus on quantum git.", "tags": [ "controller", "git", "quantum" ], "theme": "devtools", "slug": "quantum-git-controller", "repo_name": "quantum-git-controller-2025-09-19", "source": "azure", "ai_summary": { "text": "A controller that can simulate and manage support-tickets with a focus on quantum git. It aligns to the devtools theme; touching controller, git, quantum.", "examples": [ "Ship a tiny quantum git controller prototype end-to-end (README + demo)", "Integrate quantum git controller into an existing repo and add basic metrics", "Instrument quantum git controller and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-19T07:27:05.065391Z" } }, { "date": "2025-09-18", "concept": "quantum video-processor extension", "summary": "A extension that can transform and manage genomic-sequences with a focus on quantum video-processor.", "tags": [ "extension", "quantum", "video-processor" ], "theme": "data", "slug": "quantum-video-processor-extension", "repo_name": "quantum-video-processor-extension-2025-09-18", "source": "azure", "ai_summary": { "text": "A extension that can transform and manage genomic-sequences with a focus on quantum video-processor. It aligns to the data theme; touching extension, quantum, video-processor.", "examples": [ "Ship a tiny quantum video-processor extension prototype end-to-end (README + demo)", "Integrate quantum video-processor extension into an existing repo and add basic metrics", "Instrument quantum video-processor extension and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-18T07:26:29.312978Z" } }, { "date": "2025-09-17", "concept": "declarative code-search tui", "summary": "A tui that can scrape and manage performance-counters with a focus on declarative code-search.", "tags": [ "code-search", "declarative", "tui" ], "theme": "security", "slug": "declarative-code-search-tui", "repo_name": "declarative-code-search-tui-2025-09-17", "source": "azure", "ai_summary": { "text": "A tui that can scrape and manage performance-counters with a focus on declarative code-search. It aligns to the security theme; touching code-search, declarative, tui.", "examples": [ "Ship a tiny declarative code-search tui prototype end-to-end (README + demo)", "Integrate declarative code-search tui into an existing repo and add basic metrics", "Instrument declarative code-search tui and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-17T07:26:39.262226Z" } }, { "date": "2025-09-16", "concept": "auto-scaling configuration-management embedded-system", "summary": "A embedded-system that can simulate and manage log files with a focus on auto-scaling configuration-management.", "tags": [ "auto-scaling", "configuration-management", "embedded-system" ], "theme": "ml", "slug": "auto-scaling-configuration-management-embedded-system", "repo_name": "auto-scaling-configuration-management-embedded-system-2025-09-16", "source": "azure", "ai_summary": { "text": "A embedded-system that can simulate and manage log files with a focus on auto-scaling configuration-management. It aligns to the ml theme; touching auto-scaling, configuration-management, embedded-system.", "examples": [ "Ship a tiny auto-scaling configuration-management embedded-system prototype end-to-end (README + demo)", "Integrate auto-scaling configuration-management embedded-system into an existing repo and add basic metrics", "Instrument auto-scaling configuration-management embedded-system and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-16T07:27:38.327711Z" } }, { "date": "2025-09-15", "concept": "ambient audio-transcribe container-image", "summary": "A container-image that can transcode and manage A/B-test-results with a focus on ambient audio-transcribe.", "tags": [ "ambient", "audio-transcribe", "container-image" ], "theme": "productivity", "slug": "ambient-audio-transcribe-container-image", "repo_name": "ambient-audio-transcribe-container-image-2025-09-15", "source": "azure", "ai_summary": { "text": "A container image that transcodes ambient audio and performs transcription while managing A/B-test results across models and settings. It delivers a reproducible workflow to rapidly compare configurations and optimize productivity in audio-transcription pipelines.", "examples": [ "Action 1: Deploy the ambient audio-transcribe container-image with ENV MODEL_A=whisper-large-v3 and MODEL_B=deepspeech, auto-transcode incoming WAV to FLAC, and persist A/B-test-results to a mounted /data/ab-results volume.", "Action 2: Run the ambient audio-transcribe container-image on Kubernetes using two ConfigMaps for noise_suppression=A and noise_suppression=B, then export A/B-test-results as JSON to S3 and publish latency/WER metrics to Prometheus.", "Action 3: Use the ambient audio-transcribe container-image CLI to transcode a batch of MP3 files, run parallel transcriptions for variant A and B, and schedule a cron job that aggregates A/B-test-results into a dashboard-ready CSV." ], "source": "azure", "generated_at": "2025-09-15T07:28:57.532739Z" } }, { "date": "2025-09-14", "concept": "offline-first secrets-rotator cli", "summary": "A cli that can synchronize and manage api responses with a focus on offline-first secrets-rotator.", "tags": [ "cli", "offline-first", "secrets-rotator" ], "theme": "observability", "slug": "offline-first-secrets-rotator-cli", "repo_name": "offline-first-secrets-rotator-cli-2025-09-14", "source": "azure", "ai_summary": { "text": "An offline-first secrets-rotator CLI that securely rotates and caches secrets while disconnected, then reconciles and synchronizes updates once back online, with built-in observability for audit logs, metrics, and traces. It automates rotation workflows to maintain service continuity and compliance while giving transparent insight into secret state and sync health.", "examples": [ "Action 1: Initialize a local keystore and enable observability with the 'offline-first secrets-rotator cli' (e.g., secrets-rotator init --provider=vault --cache-dir .secrets --emit-metrics --otlp-endpoint=http://otel-collector:4317).", "Action 2: Perform an offline rotation and queue API updates for later sync using the 'offline-first secrets-rotator cli' (e.g., secrets-rotator rotate --offline --policy=default --all --outbox ./.rotator-queue --audit-log ./audit.json --trace).", "Action 3: Reconnect and reconcile queued rotations to cloud backends while exporting metrics/logs with the 'offline-first secrets-rotator cli' (e.g., secrets-rotator sync --reconcile --push --from ./.rotator-queue --export-metrics=prometheus --export-audit=./audit.jsonl)." ], "source": "azure", "generated_at": "2025-09-14T07:24:24.319766Z" } }, { "date": "2025-09-13", "concept": "streaming feature-flags service", "summary": "A service that can index and manage email with a focus on streaming feature-flags.", "tags": [ "feature-flags", "service", "streaming" ], "theme": "automation", "slug": "streaming-feature-flags-service", "repo_name": "streaming-feature-flags-service-2025-09-13", "source": "azure", "ai_summary": { "text": "A service that can index and manage email with a focus on streaming feature-flags. It aligns to the automation theme; touching feature-flags, service, streaming.", "examples": [ "Ship a tiny streaming feature-flags service prototype end-to-end (README + demo)", "Integrate streaming feature-flags service into an existing repo and add basic metrics", "Instrument streaming feature-flags service and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-13T07:23:27.187472Z" } }, { "date": "2025-09-12", "concept": "zero-trust image-annotator service", "summary": "A service that can monitor and manage config files with a focus on zero-trust image-annotator.", "tags": [ "image-annotator", "service", "zero-trust" ], "theme": "devtools", "slug": "zero-trust-image-annotator-service", "repo_name": "zero-trust-image-annotator-service-2025-09-12", "source": "azure", "ai_summary": { "text": "The zero-trust image-annotator service continuously monitors and manages annotator configuration, enforcing signed, least-privilege policies and blocking unverified changes. It secures devtools workflows by providing tamper-evident configs, automated drift remediation, and auditable policy enforcement.", "examples": [ "Action 1: Bootstrap the zero-trust image-annotator service with a signed config manifest (config/annotator.policy.json) and enable immutable, read-only mounts for the annotator runtime.", "Action 2: Configure the zero-trust image-annotator service to watch annotator.yaml and registry credentials, rejecting unsigned diffs and auto-rolling back on drift.", "Action 3: Integrate the zero-trust image-annotator service into CI via OIDC so it issues time-bound, least-privilege tokens to run annotate jobs only after policy attestation passes." ], "source": "azure", "generated_at": "2025-09-12T07:26:12.759234Z" } }, { "date": "2025-09-11", "concept": "semantic recommendations agent", "summary": "A agent that can synchronize and manage log files with a focus on semantic recommendations.", "tags": [ "agent", "recommendations", "semantic" ], "theme": "data", "slug": "semantic-recommendations-agent", "repo_name": "semantic-recommendations-agent-2025-09-11", "source": "azure", "ai_summary": { "text": "A agent that can synchronize and manage log files with a focus on semantic recommendations. It aligns to the data theme; touching agent, recommendations, semantic.", "examples": [ "Ship a tiny semantic recommendations agent prototype end-to-end (README + demo)", "Integrate semantic recommendations agent into an existing repo and add basic metrics", "Instrument semantic recommendations agent and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-11T07:27:20.470262Z" } }, { "date": "2025-09-10", "concept": "realtime secrets-rotator daemon", "summary": "A daemon that can monitor and manage config files with a focus on realtime secrets-rotator.", "tags": [ "daemon", "realtime", "secrets-rotator" ], "theme": "security", "slug": "realtime-secrets-rotator-daemon", "repo_name": "realtime-secrets-rotator-daemon-2025-09-10", "source": "azure", "ai_summary": { "text": "A realtime secrets-rotator daemon continuously watches configuration files and secret backends, atomically rotating credentials and hot-reloading dependent services. This minimizes secret exposure windows, enforces rotation policies, and reduces downtime and manual toil.", "examples": [ "Action 1: Configure the realtime secrets-rotator daemon to watch /etc/myapp/secrets.json, rotate AWS access keys every 12 hours, write updates via atomic file swap, and SIGHUP the myapp service for zero-downtime reload", "Action 2: Integrate the realtime secrets-rotator daemon with HashiCorp Vault to lease PostgreSQL credentials, update the app's ConfigMap and Kubernetes Secret, and trigger a rolling pod restart only if hot-reload is unavailable", "Action 3: Deploy the realtime secrets-rotator daemon as a systemd service with least-privilege IAM credentials, emitting Prometheus metrics and alerting to Slack on rotation failures or stale secrets beyond policy" ], "source": "azure", "generated_at": "2025-09-10T07:27:10.757730Z" } }, { "date": "2025-09-09", "concept": "offline-first observability service", "summary": "A service that can transcode and manage browser history with a focus on offline-first observability.", "tags": [ "observability", "offline-first", "service" ], "theme": "ml", "slug": "offline-first-observability-service", "repo_name": "offline-first-observability-service-2025-09-09", "source": "azure", "ai_summary": { "text": "A service that can transcode and manage browser history with a focus on offline-first observability. It aligns to the ml theme; touching observability, offline-first, service.", "examples": [ "Ship a tiny offline-first observability service prototype end-to-end (README + demo)", "Integrate offline-first observability service into an existing repo and add basic metrics", "Instrument offline-first observability service and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-09T07:28:09.361250Z" } }, { "date": "2025-09-08", "concept": "zero-trust dashboard agent", "summary": "A agent that can monitor and manage pdfs with a focus on zero-trust dashboard.", "tags": [ "agent", "dashboard", "zero-trust" ], "theme": "productivity", "slug": "zero-trust-dashboard-agent", "repo_name": "zero-trust-dashboard-agent-2025-09-08", "source": "azure", "ai_summary": { "text": "A agent that can monitor and manage pdfs with a focus on zero-trust dashboard. It aligns to the productivity theme; touching agent, dashboard, zero-trust.", "examples": [ "Ship a tiny zero-trust dashboard agent prototype end-to-end (README + demo)", "Integrate zero-trust dashboard agent into an existing repo and add basic metrics", "Instrument zero-trust dashboard agent and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-08T07:28:13.018103Z" } }, { "date": "2025-09-07", "concept": "streaming graphql-gateway cli", "summary": "A cli that can simulate and manage email with a focus on streaming graphql-gateway.", "tags": [ "cli", "graphql-gateway", "streaming" ], "theme": "observability", "slug": "streaming-graphql-gateway-cli", "repo_name": "streaming-graphql-gateway-cli-2025-09-07", "source": "azure", "ai_summary": { "text": "A CLI for simulating and managing email workflows through a streaming GraphQL gateway, enabling real-time subscription event streaming, tracing, and performance insights for observability. It boosts reliability by letting teams test, monitor, and debug email pipelines end-to-end.", "examples": [ "Action 1: Use the streaming graphql-gateway cli to subscribe to email events (messageQueued, messageDelivered) via the graphql-gateway, simulate an inbound email, and stream live GraphQL subscription payloads while exporting OpenTelemetry traces.", "Action 2: Run the streaming graphql-gateway cli to health-check the graphql-gateway, enable request/response logging, and continuously stream aggregated latency and error metrics to your observability backend.", "Action 3: Replay a batch of 1,000 synthetic emails through the graphql-gateway with the streaming graphql-gateway cli, capture end-to-end delivery latency percentiles, and emit a performance report with alerts when SLO thresholds are exceeded." ], "source": "azure", "generated_at": "2025-09-07T07:24:45.520558Z" } }, { "date": "2025-09-06", "concept": "privacy-first feature-flags cli", "summary": "A cli that can transcode and manage log files with a focus on privacy-first feature-flags.", "tags": [ "cli", "feature-flags", "privacy-first" ], "theme": "automation", "slug": "privacy-first-feature-flags-cli", "repo_name": "privacy-first-feature-flags-cli-2025-09-06", "source": "azure", "ai_summary": { "text": "A command-line tool that transcodes and manages log files while enforcing privacy-first feature flags, automating redaction, rollout, and auditing without exposing sensitive data. It helps teams toggle privacy-aware behaviors per environment and keep observability compliant.", "examples": [ "Action 1: Run privacy-first feature-flags cli init --project payments --env staging --enable redact.emails,anonymize.ip and commit the generated policy file to enforce privacy defaults in staging logs.", "Action 2: Use privacy-first feature-flags cli transcode ./logs/*.json --to parquet --enforce pii.masking --drop ip_address --output ./data/parquet to convert JSON logs to Parquet with privacy rules applied.", "Action 3: Schedule a progressive rollout with privacy-first feature-flags cli rollout --flag sanitize.urls --env production --progressive 0-100%/2h --audit s3://org-audit/flags/ to gradually enable URL sanitization and record an immutable audit trail." ], "source": "azure", "generated_at": "2025-09-06T07:23:44.094313Z" } }, { "date": "2025-09-05", "concept": "temporal recommendations daemon", "summary": "A daemon that can normalize and manage github issues with a focus on temporal recommendations.", "tags": [ "daemon", "recommendations", "temporal" ], "theme": "devtools", "slug": "temporal-recommendations-daemon", "repo_name": "temporal-recommendations-daemon-2025-09-05", "source": "azure", "ai_summary": { "text": "A background daemon that ingests GitHub issues, normalizes metadata (timestamps, labels, assignees), and generates time-aware recommendations for triage and prioritization. It helps dev teams act on temporal signals like staleness, bursts, and SLAs to schedule the next best action.", "examples": [ "Action 1: Install and configure the temporal recommendations daemon to normalize GitHub issue timestamps, labels, and assignees, and set a 15-minute polling cadence.", "Action 2: Define temporal recommendation rules in the temporal recommendations daemon (e.g., escalate bugs idle >48h, ping reviewers on PRs inactive >24h, auto-close discussions after 30d of no activity).", "Action 3: Integrate the temporal recommendations daemon with your triage workflow to post prioritized, time-aware suggestions as GitHub comments and labels." ], "source": "azure", "generated_at": "2025-09-05T07:27:17.954342Z" } }, { "date": "2025-09-04", "concept": "federated scheduler daemon", "summary": "A daemon that can classify and manage log files with a focus on federated scheduler.", "tags": [ "daemon", "federated", "scheduler" ], "theme": "data", "slug": "federated-scheduler-daemon", "repo_name": "federated-scheduler-daemon-2025-09-04", "source": "azure", "ai_summary": { "text": "The federated scheduler daemon classifies and manages scheduler-related log files across multiple clusters, providing centralized visibility and policy-driven handling. It adds value by unifying log ingestion, categorization, retention, and alerting for distributed scheduling environments.", "examples": [ "Deploy the federated scheduler daemon across all clusters to collect scheduler logs and forward them to a centralized data lake with daily rotation and compression.", "Configure the federated scheduler daemon to classify logs by tenant, queue, and job ID, then route anomaly-tagged entries to a Kafka topic for real-time alerts.", "Set up the federated scheduler daemon with retention policies (e.g., 90 days), automatic PII redaction, and a Prometheus endpoint exposing ingestion, error, and classification metrics." ], "source": "azure", "generated_at": "2025-09-04T07:26:40.797939Z" } }, { "date": "2025-09-03", "concept": "realtime notes extension", "summary": "A extension that can classify and manage config files with a focus on realtime notes.", "tags": [ "extension", "notes", "realtime" ], "theme": "security", "slug": "realtime-notes-extension", "repo_name": "realtime-notes-extension-2025-09-03", "source": "azure", "ai_summary": { "text": "A extension that can classify and manage config files with a focus on realtime notes. It aligns to the security theme; touching extension, notes, realtime.", "examples": [ "Ship a tiny realtime notes extension prototype end-to-end (README + demo)", "Integrate realtime notes extension into an existing repo and add basic metrics", "Instrument realtime notes extension and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-09-03T07:27:13.697875Z" } }, { "date": "2025-09-02", "concept": "ambient observability agent", "summary": "A agent that can summarize and manage browser history with a focus on ambient observability.", "tags": [ "agent", "ambient", "observability" ], "theme": "ml", "slug": "ambient-observability-agent", "repo_name": "ambient-observability-agent-2025-09-02", "source": "azure", "ai_summary": { "text": "An ambient observability agent passively captures and summarizes browser history using ML to surface trends, anomalies, and correlations, turning everyday browsing into actionable observability signals. It helps teams spot emerging issues, knowledge gaps, and workflow friction without manual logging or context switching.", "examples": [ "Action 1: Install the ambient observability agent as a browser extension that extracts page titles, timestamps, dwell time, and referrers, then uses topic modeling and embeddings to generate daily summaries and clusters of browsing activity.", "Action 2: Configure the ambient observability agent to run anomaly detection on browsing patterns (e.g., spikes in 5xx error page visits or sudden pivots to incident runbooks) and push alerts to Slack with linked sessions and suggested next steps.", "Action 3: Use the ambient observability agent to map visited URLs to services/components via metadata, enrich them with embeddings, and expose a query API for “what changed this week,” exporting time-series metrics to Prometheus/Grafana dashboards." ], "source": "azure", "generated_at": "2025-09-02T07:28:32.936080Z" } }, { "date": "2025-09-01", "concept": "fuzzy recommendations sdk", "summary": "A sdk that can classify and manage rss feeds with a focus on fuzzy recommendations.", "tags": [ "fuzzy", "recommendations", "sdk" ], "theme": "productivity", "slug": "fuzzy-recommendations-sdk", "repo_name": "fuzzy-recommendations-sdk-2025-09-01", "source": "azure", "ai_summary": { "text": "A SDK that ingests and classifies RSS feeds using fuzzy logic to score, cluster, and recommend items based on soft preferences and confidence levels. It boosts productivity by surfacing the most relevant content without rigid rules and continuously adapting to user feedback.", "examples": [ "Install the fuzzy recommendations sdk and call sdk.initialize({ feeds: [...] }) to ingest RSS sources, then enable sdk.fuzzyTopicClustering() to auto-label items with confidence scores.", "Use the fuzzy recommendations sdk to run sdk.trainFuzzyClassifier(userId, feedbackBatch) from thumbs-up/down events, then call sdk.getRecommendations(userId, { limit: 20 }) for a daily digest.", "Configure the fuzzy recommendations sdk with sdk.fuzzyFilters({ minConfidence: 0.6, noveltyBias: 0.3 }) and run sdk.rankFeedItems(feedId) to prioritize items and push the top-N to your productivity app via webhook." ], "source": "azure", "generated_at": "2025-09-01T07:29:10.037908Z" } }, { "date": "2025-08-31", "concept": "fuzzy observability sdk", "summary": "A sdk that can normalize and manage terminal sessions with a focus on fuzzy observability.", "tags": [ "fuzzy", "observability", "sdk" ], "theme": "observability", "slug": "fuzzy-observability-sdk", "repo_name": "fuzzy-observability-sdk-2025-08-31", "source": "azure", "ai_summary": { "text": "The fuzzy observability sdk normalizes and manages terminal sessions, capturing imprecise signals (commands, prompts, timings, exit states) and turning them into queryable fuzzy telemetry for faster troubleshooting and trend analysis. It unifies disparate shell behaviors and correlates noisy session data into actionable insights.", "examples": [ "Action 1: Install and initialize the fuzzy observability sdk to wrap Bash/Zsh terminal sessions and enable normalization of prompts, timestamps, and exit codes.", "Action 2: Configure fuzzy match rules in the fuzzy observability sdk to convert semi-structured command outputs into fuzzy spans and metrics, and export them to your observability backend.", "Action 3: Integrate the fuzzy observability sdk into CI runners to stream anonymized session telemetry and query the fuzzy session index for anomalous workflows and flaky steps." ], "source": "azure", "generated_at": "2025-08-31T07:25:18.061837Z" } }, { "date": "2025-08-30", "concept": "semantic feature-flags extension", "summary": "A extension that can classify and manage api responses with a focus on semantic feature-flags.", "tags": [ "extension", "feature-flags", "semantic" ], "theme": "automation", "slug": "semantic-feature-flags-extension", "repo_name": "semantic-feature-flags-extension-2025-08-30", "source": "azure", "ai_summary": { "text": "An extension that classifies and manages API responses using semantic feature flags, enabling automated, intent-aware toggling and routing. It reduces manual rule maintenance by interpreting response meaning and applying consistent feature controls across services.", "examples": [ "Action 1: Configure the semantic feature-flags extension to classify API responses into intents (e.g., 'pricing', 'auth_error') and automatically toggle flags that route requests to the appropriate service version.", "Action 2: Attach the semantic feature-flags extension middleware to your API client to enable the 'recommendations' flag when response entities include 'product' and 'in_stock' attributes.", "Action 3: Define rollout rules in the semantic feature-flags extension to gate the 'smart_retry' feature when response sentiment is negative and latency exceeds 500ms." ], "source": "azure", "generated_at": "2025-08-30T07:24:12.455177Z" } }, { "date": "2025-08-29", "concept": "quantum audio-transcribe webapp", "summary": "A webapp that can visualize and manage pdfs with a focus on quantum audio-transcribe.", "tags": [ "audio-transcribe", "quantum", "webapp" ], "theme": "devtools", "slug": "quantum-audio-transcribe-webapp", "repo_name": "quantum-audio-transcribe-webapp-2025-08-29", "source": "azure", "ai_summary": { "text": "A devtools-focused webapp that visualizes and manages PDFs while synchronizing them with audio transcripts, optimized for quantum-related content. It enables developers and researchers to align, search, and annotate transcripts against PDF sections via API, CLI, and real-time views.", "examples": [ "Upload a quantum research PDF and lecture audio to the quantum audio-transcribe webapp, auto-align transcript timestamps to PDF headings, and render a side-by-side waveform/PDF viewer with clickable segments.", "Use the quantum audio-transcribe webapp API to stream audio for real-time transcription, auto-tag quantum terms (e.g., qubit, entanglement), and write annotations back into the managed PDF via PATCH /pdfs/{id}/annotations.", "Add a CI step that invokes the quantum audio-transcribe webapp CLI to batch transcribe new audio assets, update linked PDFs, and export a summarized JSON index for search and retrieval." ], "source": "azure", "generated_at": "2025-08-29T07:27:48.669162Z" } }, { "date": "2025-08-28", "concept": "ambient audio-transcribe webapp (1)", "summary": "A webapp that can transcode and manage pdfs with a focus on ambient audio-transcribe.", "tags": [ "ambient", "audio-transcribe", "webapp" ], "theme": "data", "slug": "ambient-audio-transcribe-webapp-1", "repo_name": "ambient-audio-transcribe-webapp-1-2025-08-28", "source": "azure", "ai_summary": { "text": "ambient audio-transcribe webapp (1) is a data-focused web app that captures ambient audio, transcribes it, and manages the resulting documents by transcoding transcripts into searchable PDFs. It streamlines ingestion, transcription, and PDF lifecycle management for organization, analysis, and sharing.", "examples": [ "Action 1: Use ambient audio-transcribe webapp (1) to upload a 60-minute WAV ambient recording, auto-transcribe it, and export a timestamped, searchable PDF with speaker diarization and section bookmarks.", "Action 2: Configure ambient audio-transcribe webapp (1) to batch transcode 50 existing PDFs into PDF/A, link each to its source audio and transcript, and tag them by project, location, and capture date.", "Action 3: Set up a real-time capture pipeline in ambient audio-transcribe webapp (1) that records ambient audio via the browser, performs live transcription, and archives nightly summaries as versioned PDFs with embedded metadata and access controls." ], "source": "azure", "generated_at": "2025-08-28T07:28:00.269697Z" } }, { "date": "2025-08-27", "concept": "privacy-first graphql-gateway cli", "summary": "A cli that can index and manage github issues with a focus on privacy-first graphql-gateway.", "tags": [ "cli", "graphql-gateway", "privacy-first" ], "theme": "security", "slug": "privacy-first-graphql-gateway-cli", "repo_name": "privacy-first-graphql-gateway-cli-2025-08-27", "source": "azure", "ai_summary": { "text": "A cli that can index and manage github issues with a focus on privacy-first graphql-gateway. It aligns to the security theme; touching cli, graphql-gateway, privacy-first.", "examples": [ "Ship a tiny privacy-first graphql-gateway cli prototype end-to-end (README + demo)", "Integrate privacy-first graphql-gateway cli into an existing repo and add basic metrics", "Instrument privacy-first graphql-gateway cli and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-08-27T07:27:13.446829Z" } }, { "date": "2025-08-26", "concept": "semantic secrets-rotator cli", "summary": "A cli that can synchronize and manage terminal sessions with a focus on semantic secrets-rotator.", "tags": [ "cli", "secrets-rotator", "semantic" ], "theme": "ml", "slug": "semantic-secrets-rotator-cli", "repo_name": "semantic-secrets-rotator-cli-2025-08-26", "source": "azure", "ai_summary": { "text": "A command-line tool that synchronizes and manages terminal sessions while using ML-driven semantic analysis to discover, classify, and rotate secrets in real time. It reduces exposure by coordinating context-aware rotations consistently across shells, tmux panes, and remote hosts.", "examples": [ "Action 1: Initialize a workspace and set a semantic rotation policy with providers by running: semantic-secrets-rotator init --session-group dev --providers aws,github --policy semantic-embedding --rotation-interval 24h", "Action 2: Perform a context-aware dry-run rotation for production-labeled sessions using ML similarity scoring: semantic-secrets-rotator rotate --match session=prod --strategy ml-similarity --dry-run --report json", "Action 3: Synchronize secrets state across tmux panes and SSH hosts, enforcing rekeying for stale contexts: semantic-secrets-rotator sync --tmux --ssh inventory.yaml --enforce --rekey" ], "source": "azure", "generated_at": "2025-08-26T07:29:03.041136Z" } }, { "date": "2025-08-25", "concept": "minimal feature-flags cli", "summary": "A cli that can index and manage github issues with a focus on minimal feature-flags.", "tags": [ "cli", "feature-flags", "minimal" ], "theme": "productivity", "slug": "minimal-feature-flags-cli", "repo_name": "minimal-feature-flags-cli-2025-08-25", "source": "azure", "ai_summary": { "text": "A lightweight command-line tool that indexes and manages GitHub issues with minimal, declarative feature flags to control workflows and views. It improves productivity by letting teams toggle behaviors and experiments around issue triage without heavy config or code changes.", "examples": [ "Action 1: Initialize a repository and index all open GitHub issues into a local cache using the minimal feature-flags cli, then list them filtered by label 'bug' and milestone 'v1.0'.", "Action 2: Define a feature flag 'auto-triage' with the minimal feature-flags cli that automatically labels new issues as 'triage' and hides them from the default list until reviewed.", "Action 3: Use the minimal feature-flags cli to roll out a percentage-based flag 'beta-priority' that surfaces only a subset of 'enhancement' issues in the Next Up queue, then export the active flag state to .flags.json for CI." ], "source": "azure", "generated_at": "2025-08-25T07:29:36.209954Z" } }, { "date": "2025-08-24", "concept": "temporal image-annotator service", "summary": "A service that can synchronize and manage browser history with a focus on temporal image-annotator.", "tags": [ "image-annotator", "service", "temporal" ], "theme": "observability", "slug": "temporal-image-annotator-service", "repo_name": "temporal-image-annotator-service-2025-08-24", "source": "azure", "ai_summary": { "text": "A temporal image-annotator service that synchronizes browser history with time-aware image annotations, enabling playback and auditing of image interactions over time. It improves observability by correlating annotation events with browsing timelines for debugging, compliance, and user insights.", "examples": [ "Configure the temporal image-annotator service to ingest browser history events and attach time-synced image annotations, storing them with a 30-day retention policy", "Enable OpenTelemetry tracing in the temporal image-annotator service to emit spans for annotation creation, edits, and replay, correlated to browser history timestamps", "Schedule a nightly job in the temporal image-annotator service to export per-user, time-sliced annotation timelines to S3 and trigger a webhook when anomalies are detected" ], "source": "azure", "generated_at": "2025-08-24T07:26:21.528484Z" } }, { "date": "2025-08-23", "concept": "ambient graphql-gateway sdk", "summary": "A sdk that can normalize and manage rss feeds with a focus on ambient graphql-gateway.", "tags": [ "ambient", "graphql-gateway", "sdk" ], "theme": "automation", "slug": "ambient-graphql-gateway-sdk", "repo_name": "ambient-graphql-gateway-sdk-2025-08-23", "source": "azure", "ai_summary": { "text": "An SDK that automates ingestion, normalization, and management of RSS feeds, exposing them through an ambient GraphQL gateway for consistent querying and orchestration. It abstracts schema mapping, deduplication, and real-time updates to streamline automation workflows.", "examples": [ "Initialize the ambient graphql-gateway sdk, register https://example.com/rss.xml as a FeedSource, map title/link/pubDate to a FeedItem schema, and publish normalized nodes to the GraphQL gateway.", "Configure the ambient graphql-gateway sdk to poll every 5 minutes, deduplicate by guid+link, backfill the last 500 items, and expose a GraphQL subscription feedItemsUpdated for downstream automation.", "Use the ambient graphql-gateway sdk to enrich normalized feedItems via a webhook pipeline, persist them to a cache, and add a GraphQL resolver search(text:) for querying aggregated RSS content." ], "source": "azure", "generated_at": "2025-08-23T07:25:32.444175Z" } }, { "date": "2025-08-22", "concept": "ambient audio-transcribe webapp", "summary": "A webapp that can transcode and manage terminal sessions with a focus on ambient audio-transcribe.", "tags": [ "ambient", "audio-transcribe", "webapp" ], "theme": "devtools", "slug": "ambient-audio-transcribe-webapp", "repo_name": "ambient-audio-transcribe-webapp-2025-08-22", "source": "azure", "ai_summary": { "text": "This devtools-focused ambient audio-transcribe webapp manages and records terminal sessions, transcodes session artifacts, and passively captures ambient audio to produce time-aligned transcripts and summaries. It helps developers document workflows, generate searchable session logs, and automate post-session notes and captions.", "examples": [ "Action 1: Configure the ambient audio-transcribe webapp to auto-start transcription on new terminal sessions and attach time-aligned captions to each command and output block.", "Action 2: Use the ambient audio-transcribe webapp to transcode a ttyrec/asciinema recording into an MP4 with burned-in captions generated from the ambient transcript and export a markdown summary.", "Action 3: Integrate the ambient audio-transcribe webapp with your SSH session manager to track multiple terminals, tag transcripts with git branch/commit metadata, and index them for full-text search." ], "source": "azure", "generated_at": "2025-08-22T07:27:38.734666Z" } }, { "date": "2025-08-21", "concept": "privacy-first secrets-rotator extension", "summary": "A extension that can normalize and manage screenshots with a focus on privacy-first secrets-rotator.", "tags": [ "extension", "privacy-first", "secrets-rotator" ], "theme": "data", "slug": "privacy-first-secrets-rotator-extension", "repo_name": "privacy-first-secrets-rotator-extension-2025-08-21", "source": "azure", "ai_summary": { "text": "The privacy-first secrets-rotator extension automatically normalizes and manages screenshots by detecting and redacting sensitive data, while securely rotating any exposed credentials. This prevents leaks and supports compliance without sending data off-device.", "examples": [ "Use the privacy-first secrets-rotator extension to scan a batch of screenshots, auto-redact API tokens, and rotate any leaked keys in your secrets manager.", "Configure the privacy-first secrets-rotator extension to deterministically anonymize emails and names in screenshots before sharing, while logging all rotation events to your SIEM.", "Trigger the privacy-first secrets-rotator extension via CLI to strip EXIF/GPS metadata, normalize file naming, and rotate OAuth client secrets detected in on-screen text." ], "source": "azure", "generated_at": "2025-08-21T07:30:22.142775Z" } }, { "date": "2025-08-20", "concept": "streaming secrets-rotator cli", "summary": "A cli that can scrape and manage rss feeds with a focus on streaming secrets-rotator.", "tags": [ "cli", "secrets-rotator", "streaming" ], "theme": "security", "slug": "streaming-secrets-rotator-cli", "repo_name": "streaming-secrets-rotator-cli-2025-08-20", "source": "azure", "ai_summary": { "text": "A CLI that securely scrapes and manages RSS feeds while continuously rotating and streaming the secrets (API keys, tokens) used by fetchers and consumers to minimize exposure and downtime. It centralizes feed orchestration, rotation policy enforcement, and audit visibility for security-focused pipelines.", "examples": [ "Action 1: Initialize the streaming secrets-rotator cli workspace, register an RSS feed endpoint, and attach a rotation policy that streams zero-downtime key updates to the feed fetcher.", "Action 2: Use streaming secrets-rotator cli to scrape a feed on a schedule with least-privilege credentials, streaming rotations to switch API tokens every 24 hours with automatic rollback on failure.", "Action 3: Configure streaming secrets-rotator cli to emit rotation events to consumers via webhooks or Kafka, verify fetchers reload secrets live, and generate an audit report for the last 10 rotations." ], "source": "azure", "generated_at": "2025-08-20T17:44:19.574377Z" } }, { "date": "2025-08-19", "concept": "quantum scheduler extension", "summary": "A extension that can normalize and manage browser history with a focus on quantum scheduler.", "tags": [ "extension", "quantum", "scheduler" ], "theme": "ml", "slug": "quantum-scheduler-extension", "repo_name": "quantum-scheduler-extension-2025-08-19", "source": "azure" }, { "date": "2025-08-18", "concept": "temporal graphql-gateway extension", "summary": "A extension that can classify and manage api responses with a focus on temporal graphql-gateway.", "tags": [ "extension", "graphql-gateway", "temporal" ], "theme": "productivity", "slug": "temporal-graphql-gateway-extension", "repo_name": "temporal-graphql-gateway-extension-2025-08-18", "source": "azure" }, { "date": "2025-08-17", "concept": "temporal audio-transcribe webapp", "summary": "A webapp that can generate and manage terminal sessions with a focus on temporal audio-transcribe.", "tags": [ "audio-transcribe", "temporal", "webapp" ], "theme": "observability", "slug": "temporal-audio-transcribe-webapp", "repo_name": "temporal-audio-transcribe-webapp-2025-08-17", "source": "offline", "ai_summary": { "text": "A webapp that spins up and manages terminal sessions to run temporal audio-transcribe pipelines, producing time-aligned transcripts with built-in observability of logs, metrics, and traces. It centralizes execution, monitoring, and artifact management so teams can reliably operate and audit transcription workflows.", "examples": [ "Create a new managed terminal session in the temporal audio-transcribe webapp, upload an MP3, and run a time-aligned transcription job that streams word-level timestamps to the session console and saves SRT/VTT artifacts.", "Enable observability in the temporal audio-transcribe webapp by attaching OpenTelemetry to the session, then view real-time logs, traces, and CPU/memory metrics for the running transcription pipeline.", "Schedule a recurring temporal audio-transcribe webapp workflow that spins up a terminal session nightly, pulls audio from S3, transcribes with diarization, and posts a summary plus transcript links to Slack." ], "source": "azure", "generated_at": "2025-08-17T16:55:57.991279Z" } }, { "date": "2025-08-16", "concept": "privacy-first scheduler sdk", "summary": "A sdk that can monitor and manage config files with a focus on privacy-first scheduler.", "tags": [ "privacy-first", "scheduler", "sdk" ], "theme": "automation", "slug": "privacy-first-scheduler-sdk", "repo_name": "privacy-first-scheduler-sdk-2025-08-16", "source": "offline", "ai_summary": { "text": "A privacy-first scheduler SDK that monitors and manages local scheduling config files on-device, enforcing encryption, least-privilege access, and zero telemetry. It automates compliant job execution while preserving user data privacy with policy-driven controls and auditable actions.", "examples": [ "Use the privacy-first scheduler sdk to watch a local YAML/JSON config directory, validate schedules against a privacy policy schema, and hot-reload jobs without sending any data off-device.", "Initialize the privacy-first scheduler sdk with a hardware-backed key to encrypt schedule configs and secrets at rest, then run cron-like jobs with per-job consent prompts and sandboxed execution.", "Integrate the privacy-first scheduler sdk to produce signed local-only audit logs, enforce least-privilege access to environment variables, and automatically rollback config changes that violate privacy rules." ], "source": "azure", "generated_at": "2025-08-17T16:55:05.002179Z" } }, { "date": "2025-08-15", "concept": "zero-trust secrets-rotator agent", "summary": "A agent that can generate and manage rss feeds with a focus on zero-trust secrets-rotator.", "tags": [ "agent", "secrets-rotator", "zero-trust" ], "theme": "devtools", "slug": "zero-trust-secrets-rotator-agent", "repo_name": "zero-trust-secrets-rotator-agent-2025-08-15", "source": "offline", "ai_summary": { "text": "A devtools-focused zero-trust secrets-rotator agent that generates and manages signed RSS feeds while continuously rotating feed keys and access tokens with least-privilege, ephemeral credentials. It reduces blast radius and automates secret hygiene across your pipelines and subscribers without downtime.", "examples": [ "Action 1: Deploy the zero-trust secrets-rotator agent in GitHub Actions to generate a signed RSS feed of release events, rotate the feed-signing key via AWS KMS every 24h, and publish a JWKS endpoint so subscribers auto-refresh keys.", "Action 2: Configure the zero-trust secrets-rotator agent to issue per-subscriber, time-scoped tokens for RSS access (JWT exp=15m), auto-rotate on anomaly detection, and revoke credentials via a SIEM alert webhook.", "Action 3: Use the zero-trust secrets-rotator agent to rotate credentials for RSS webhook integrations (S3 object writes and Slack notifications) via HashiCorp Vault AppRole, with pre-rotation validation and post-rotation smoke tests to ensure no feed downtime." ], "source": "azure", "generated_at": "2025-08-17T16:54:56.794622Z" } }, { "date": "2025-08-14", "concept": "privacy-first graphql-gateway extension", "summary": "A extension that can generate and manage api responses with a focus on privacy-first graphql-gateway.", "tags": [ "extension", "graphql-gateway", "privacy-first" ], "theme": "data", "slug": "privacy-first-graphql-gateway-extension", "repo_name": "privacy-first-graphql-gateway-extension-2025-08-14", "source": "offline", "ai_summary": { "text": "A privacy-first GraphQL gateway extension that generates and manages API responses with built-in data minimization, consent-aware resolvers, and auditability. It helps teams enforce least-privilege access and redaction at the gateway without changing backend services.", "examples": [ "Install and register the privacy-first graphql-gateway extension, then annotate PII fields with @redact to enable automatic field-level masking in responses.", "Define consent scopes (e.g., email.read, profile.basic) and bind them to resolvers so the privacy-first graphql-gateway extension conditionally resolves fields based on user consent tokens.", "Configure per-service data minimization policies and enable response filtering so the privacy-first graphql-gateway extension strips nonessential fields and emits privacy audit events to your logging pipeline." ], "source": "azure", "generated_at": "2025-08-17T16:54:40.155442Z" } }, { "date": "2025-08-13", "concept": "quantum notes extension", "summary": "A extension that can scrape and manage terminal sessions with a focus on quantum notes.", "tags": [ "extension", "notes", "quantum" ], "theme": "security", "slug": "quantum-notes-extension", "repo_name": "quantum-notes-extension-2025-08-13", "source": "offline", "ai_summary": { "text": "Quantum notes extension securely scrapes and organizes terminal sessions into structured, encrypted quantum notes that capture commands, outputs, and quantum-specific context. It enforces role-based access, secret redaction, and tamper-evident audit trails for secure, reproducible quantum workflows.", "examples": [ "Action 1: Install the quantum notes extension on your terminal, enable SSH/tmux session capture, and configure AES-256 storage encryption with your team's KMS key to automatically save Qiskit job runs as encrypted quantum notes with circuit metadata and seed parameters.", "Action 2: Use the quantum notes extension to scrape a live session, auto-redact API tokens and private keys from outputs, then tag the resulting quantum note with backend ID, qubit count, and shot settings before pushing it to a Git repo with signed commits.", "Action 3: Set up role-based access control in the quantum notes extension to restrict viewing of sensitive measurement outputs, and enable tamper-evident audit logs that link each quantum note to its originating commands and timestamps for compliance review." ], "source": "azure", "generated_at": "2025-08-17T16:54:31.899012Z" } }, { "date": "2025-08-12", "concept": "federated audio-transcribe extension", "summary": "A extension that can monitor and manage email with a focus on federated audio-transcribe.", "tags": [ "audio-transcribe", "extension", "federated" ], "theme": "ml", "slug": "federated-audio-transcribe-extension", "repo_name": "federated-audio-transcribe-extension-2025-08-12", "source": "offline", "ai_summary": { "text": "A extension that can monitor and manage email with a focus on federated audio-transcribe. It aligns to the ml theme; touching audio-transcribe, extension, federated.", "examples": [ "Ship a tiny federated audio-transcribe extension prototype end-to-end (README + demo)", "Integrate federated audio-transcribe extension into an existing repo and add basic metrics", "Instrument federated audio-transcribe extension and capture before/after results for one workflow" ], "source": "offline", "generated_at": "2025-08-17T16:54:19.795234Z" } }, { "date": "2025-08-11", "concept": "privacy-first search agent", "summary": "A agent that can summarize and manage log files with a focus on privacy-first search.", "tags": [ "agent", "privacy-first", "search" ], "theme": "productivity", "slug": "privacy-first-search-agent", "repo_name": "privacy-first-search-agent-2025-08-11", "source": "offline", "ai_summary": { "text": "A privacy-first search agent securely indexes, summarizes, and manages log files entirely on-device, enabling fast, natural-language search without sending data off your machine. It boosts productivity by delivering precise summaries and enforcing redaction and retention policies to minimize risk.", "examples": [ "Action 1: Configure the privacy-first search agent to index system and application logs locally, apply PII redaction (emails, IPs, tokens), and generate a daily summary of top errors and anomalies.", "Action 2: Use the privacy-first search agent to run a natural-language query across encrypted log archives (e.g., 'show auth failures by host last 24h') and return an on-device summary with trend charts and timestamps.", "Action 3: Set the privacy-first search agent to enforce a 30-day retention policy, auto-anonymize IP addresses on ingest, and export a sanitized incident report for a specified timeframe and service." ], "source": "azure", "generated_at": "2025-08-17T16:53:59.696357Z" } }, { "date": "2025-08-10", "concept": "realtime graphql-gateway service", "summary": "A service that can generate and manage log files with a focus on realtime graphql-gateway.", "tags": [ "graphql-gateway", "realtime", "service" ], "theme": "observability", "slug": "realtime-graphql-gateway-service", "repo_name": "realtime-graphql-gateway-service-2025-08-10", "source": "offline", "ai_summary": { "text": "The realtime graphql-gateway service generates and manages structured, real-time logs and metrics for every GraphQL operation across the gateway, delivering instant observability into traffic, latency, and errors. By centralizing log pipelines, retention, and live analysis, it shortens MTTR and improves reliability.", "examples": [ "Action 1: Configure the realtime graphql-gateway service to stream JSON logs to a Kafka topic with fields operationName, traceId, resolverPath, latencyMs, and upstreamStatus, and set retention to 7 days.", "Action 2: Enable live tailing in the realtime graphql-gateway service and add a filter for operationName='GetUser' AND latencyMs>200 to investigate spikes in resolver latency.", "Action 3: Create an alert in the realtime graphql-gateway service that triggers when upstreamStatus starts with '5' and errorRate>0.02 over 5 minutes, and auto-attach the last 100 request/response log entries for the affected operation." ], "source": "azure", "generated_at": "2025-08-17T16:53:47.541837Z" } } ]