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Found 2,039 Skills
Guidance for implementing proper asyncio task cancellation with signal handling in Python. This skill applies when implementing concurrent task runners that need graceful shutdown, handling KeyboardInterrupt/SIGINT in asyncio contexts, or managing task cleanup when using semaphores for concurrency limiting. Use when tasks involve asyncio.gather, CancelledError handling, or cleanup of tasks that haven't started execution.
Optimize pyproject.toml and resolve complex dependency trees using modern tools like Poetry or uv. Use to modernize Python project management.
Guide for Claude Agent SDK - build custom AI agents powered by Claude. Covers installation, authentication providers, tool permissions, file-based configuration, TypeScript/Python code examples, and project scaffolding templates.
Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks. Originally from OpenAI's curated skills catalog.
Production-grade Docker containerization for Python and Node.js applications. This skill should be used when users ask to containerize applications, create Dockerfiles, dockerize projects, or set up Docker Compose. Auto-detects project structure, analyzes .env for secrets, validates security, and generates tested Dockerfiles.
Execute apply production-ready Supabase SDK patterns for TypeScript and Python. Use when implementing Supabase integrations, refactoring SDK usage, or establishing team coding standards for Supabase. Trigger with phrases like "supabase SDK patterns", "supabase best practices", "supabase code patterns", "idiomatic supabase".
Generate pytest test cases for Python functions and classes
Homebrew formula maintenance workflows for Python CLIs and taps, including version bumps, SHA/resource updates, testing, audits, and releases.
Use when implementing well-scoped Python tasks with clear requirements, writing unit tests, and producing documented code for senior-developer review.
Use when adding multi-format RAG ingest, chunk, embed, and retrieval pipelines; pair with architect-python-uv-batch or architect-python-uv-fastapi-sqlalchemy.
Simplifies and refines Python code for clarity, consistency, and maintainability while preserving all functionality. Applies dignified-python standards. Focuses on recently modified code unless instructed otherwise.
Interactively fix any type checking issues in Python code