Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 600 files from 1 763 authors, of which 61 947 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Deep-dive data profiling for a specific table. Use when the user asks to profile a table, wants statistics about a dataset, asks about data quality, or needs to understand a table's structure and content. Requires a table name.
Migrates Airflow projects from airflow-ai-sdk to apache-airflow-providers-common-ai 0.4.0+. Use when replacing airflow-ai-sdk with the official Airflow AI provider - migrating LLM decorators (@task.llm, @task.agent, @task.llm_branch, @task.embed), switching from model strings/objects to connection-based LLM configuration, updating imports from airflow_ai_sdk to the new provider, or upgrading an existing common-ai 0.1.x setup to 0.4.x (multimodal prompts, toolsets, embedding operators); also when common-ai provider, AIP-99, a pydanticai connection or migrating away from airflow-ai-sdk come up.
Guide for migrating Apache Airflow 2.x projects to Airflow 3.x. Use when the user mentions Airflow 3 migration, upgrade, compatibility issues, breaking changes, or wants to modernize their Airflow codebase. If you detect Airflow 2.x code that needs migration, prompt the user and ask if they want you to help upgrade. Always load this skill as the first step for any migration-related request.
Guide for migrating Dagster projects to Apache Airflow 3 on Astro. Use when the user mentions migrating, converting, or porting Dagster (or Dagster+) code to Airflow or Astro, wants to plan or assess such a migration, or asks what a Dagster construct maps to in Airflow. Covers assets, partitions, schedules, sensors, declarative automation, resources, IO managers, ops/jobs, dbt, Pipes, Components, and Dagster+ platform config. Always load this skill as the first step for any Dagster-to-Airflow request.
Complex DAG testing workflows with debugging and fixing cycles. Use for multi-step testing requests like "test this dag and fix it if it fails", "test and debug", "run the pipeline and troubleshoot issues". For simple test requests ("test dag", "run dag"), the airflow entrypoint skill handles it directly. This skill is for iterative test-debug-fix cycles.
Initialize and configure Astro/Airflow projects. Use when the user wants to create a new project, set up dependencies, configure connections/variables, or understand project structure. For running the local environment, see managing-astro-local-env.
Trace downstream data lineage and impact analysis. Use when the user asks what depends on this data, what breaks if something changes, downstream dependencies, or needs to assess change risk before modifying a table or DAG.
Trace upstream data lineage. Use when the user asks where data comes from, what feeds a table, upstream dependencies, data sources, or needs to understand data origins.
Troubleshoot Astronomer production deployments with Astro CLI. Use when investigating deployment issues, viewing production logs, analyzing failures, or managing deployment environment variables.
Initialize warehouse schema discovery. Generates .astro/warehouse.md with all table metadata for instant lookups. Run once per project, refresh when schema changes. Use when user says "/astronomer-data:warehouse-init" or asks to set up data discovery.
Verify every @path chain import and every markdown link inside every CLAUDE.md in this project resolves to an existing file. Read-only — returns broken links with file:line refs, never edits.
Re-detect this project's tech stack from package.json / requirements.txt / pyproject.toml / go.mod / Cargo.toml and diff it against the Tech Stack section of every CLAUDE.md. Read-only — returns added / removed / renamed dependencies, never edits.
Behavioral guardrails for LLM-assisted coding. Use when writing, reviewing, or refactoring code in any project to avoid overcomplication, keep changes surgical, surface assumptions early, and execute against verifiable success criteria.
Audit every CLAUDE.md in this project for drift against the last week of git history. Flags sections that reference deleted files, renamed paths, or removed dependencies. Read-only — returns a punch list, never edits.
Analyzes, generates, and enhances CLAUDE.md files for any project type using best practices, modular architecture support, and tech stack customization. Use when setting up new projects, improving existing CLAUDE.md files, or establishing AI-assisted development standards.
Run Python (ruff) and JavaScript (Biome) linting.
Detect stale TODOs, unused imports, and dead code.
Business operations: strategy, technology, growth, competitive intelligence, support, finance, HR, legal, operations, sales, productivity, product management.
Marketing: SEO audits, campaign planning, content strategy, email sequences, competitive analysis, brand review, performance reporting.
Maximize information density: preserve all instructions, remove prose filler.
Validate content framing on joy-grievance spectrum.
Design workflows — UX copy, design systems, design critique, accessibility review, design handoff, user research synthesis. Use when writing UI copy, reviewing designs, building component systems, checking accessibility, or preparing developer handoffs.
TypeScript type checking via tsc --noEmit with actionable error output.
Python quality checks: ruff, pytest, mypy, bandit in deterministic order.
Review and fix temporal references in code comments.
Read public Bluesky feeds via AT Protocol API.
Manage editorial content through 6 pipeline stages.
Repurpose source assets into platform-native social content.
Multi-language code quality gate with auto-detection and linters.
Generate headlines, titles, and subject lines: charge, volume, tighten.
Generate blog topic ideas: problem mining, gap analysis, expansion.
AI image generation: Gemini and Nano Banana backends; single/series/batch workflows with prompt-to-disk.
Create voice profiles from writing samples.
FFmpeg-based video creation from image and audio.
Blog publishing, blueprint to upload: post outlines, pre-publish checks, SEO, bulk frontmatter edits, link/image/taxonomy audits, WordPress upload.
Draft interpersonal and meeting messages: emails, memos, status updates, structured pushback or disagreement.
Document translation: quick/normal/refined modes with chunked parallel subagents and glossary support.
Reddit moderation via PRAW: fetch modqueue, classify reports, take actions.
Plan multi-part content series: structure, cross-linking, cadence.
Video editing pipeline: cut footage, assemble clips via FFmpeg and Remotion.
| Unified voice content generation pipeline with mandatory validation and HOOK-GATE, VALIDATE, REFINE, VARIETY-GATE, JOY-CHECK, ANTI-AI, CLOSE-GATE, OUTPUT, CLEANUP. Use when writing articles, blog posts, or any content that uses a voice profile. Use for "write article", "blog post", "write in voice", "generate content", "draft article", "write about".
Critique-and-rewrite loop for voice fidelity validation.
Validate published WordPress posts in browser via Playwright.
Design a CLI interface: args, flags, help, output, errors, exit codes, config.
Post tweets, build threads, upload media via the X API.
Go development patterns: testing, concurrency, errors, review, and conventions.
PHP development: code quality, PSR standards, testing with PHPUnit.
Kotlin development: coroutines, Flow, Channels, testing with JUnit 5 and Kotest.
Enterprise search: relevance tuning, query understanding, index management, search quality, ranking optimization, schema design.
OpenSearch SIEM detection: SIGMA, query DSL, MITRE ATT&CK mapping, anomaly/correlation rules, alert validation, SOC escalation.
Deterministic palette/matrix pixel art (not AI). Use for procedural tile art, color-quantized output, matrix sprites.
Full-repo SAP CC Go compliance audit against review standards.
AI sprite generation: portraits, idle loops, animated sheets via Codex/Nano Banana. Per-row generation, animation presets, video-to-sprite, identity lock. Use for generated character art.
Swift development: concurrency patterns, async/await, actors, testing with XCTest and Swift Testing framework.
Gold-standard SAP CC Go code review: 10 parallel domain specialists.
Browser-based HTML presentation generation.
Three.js app builder: imperative, React Three Fiber, and WebGPU in 4 phases.
Context-driven aesthetic exploration with anti-cliche validation.
Game lifecycle orchestrator: scaffold, assets, audio, QA, deploy.
Standalone WebGL fragment shaders for card visual effects: holographic foil, shimmer, rarity glow.
Claude Skills — questions
Answers built from the skills we actually parsed.