Find the perfect capability for your agent.
Python asyncio and concurrent programming patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
Complete FastAPI production system. PROACTIVELY activate for: (1) Project structure (scalable layout), (2) Pydantic schemas (input/output separation), (3) Dependency injection, (4) Async database with SQLAlchemy, (5) JWT authentication, (6) Error handling patterns, (7) Docker deployment, (8) Gunicorn + Uvicorn production, (9) Rate limiting, (10) Testing with httpx. Provides: Project templates, schema patterns, auth setup, Docker config. Ensures production-ready FastAPI applications.
Guide for initializing and setting up new Keboola Python components using cookiecutter template. Use when starting a new component project from scratch.
Modern Python patterns for Modal.com serverless platform. PROACTIVELY activate for: (1) Modal function deployment, (2) Type-safe Modal with Pydantic, (3) Async patterns in Modal, (4) GPU workloads (ML inference, training), (5) FastAPI web endpoints on Modal, (6) Scheduled tasks and cron jobs, (7) Modal Volumes and storage, (8) Testing Modal functions with pytest, (9) Modal classes and lifecycle methods, (10) Parallel processing with map/starmap. Provides: Type hints patterns, Pydantic integration, async/await patterns, pytest testing, FastAPI integration, scheduled tasks, Volume usage, cost optimization, and production-ready examples following Python 3.11+ best practices.
Builds production-ready Keboola Python components with best practices and architectural patterns. Use when creating new extractors/writers/applications, implementing incremental loads, designing configuration schemas, adding API client separation, following self-documenting workflow patterns, or setting up components with cookiecutter templates and Ruff code quality.
Python performance optimization patterns using profiling, algorithmic improvements, and acceleration techniques. Use when optimizing slow Python code, reducing memory usage, or improving application throughput and latency.
Django full-featured Python web framework with batteries included (ORM, admin, auth)
FastAPI dev/prod runbook (Uvicorn reload, Gunicorn)
MicroPython REPL usage, package management, module inspection, and interactive debugging for Universe 2025 (Tufty) Badge. Use when installing MicroPython packages, testing code interactively, checking installed modules, or using the REPL for development.
Migrate Keboola Python packages from setup.py to modern uv build system with deterministic dependencies. Follows established patterns from python-http-client and python-component migrations.
Python language patterns and best practices. Use when language python guidance is required or when selecting a primary language for non-trivial automation.
Automates macOS apps via Apple Events using AppleScript (discovery), JXA (legacy), and PyXA (modern Python). Use when asked to "automate Mac apps", "write AppleScript", "JXA scripting", "osascript automation", or "PyXA Python automation". Foundation skill for all macOS app automation.
Homebrew formula maintenance workflows for Python CLIs and taps, including version bumps, SHA/resource updates, testing, audits, and releases.
Complete Python asyncio system. PROACTIVELY activate for: (1) async/await syntax, (2) asyncio.gather for concurrent execution, (3) TaskGroup (3.11+), (4) Semaphores for rate limiting, (5) Timeouts with asyncio.timeout, (6) Producer-consumer with Queue, (7) Async generators and context managers, (8) uvloop performance, (9) Common async gotchas. Provides: Concurrent patterns, I/O optimization, async libraries (aiohttp, httpx, asyncpg). Ensures correct async patterns without blocking.
Autonomous polyglot monorepo bootstrap meta-prompt. TRIGGERS - new monorepo, polyglot setup, scaffold Python+Rust+Bun, monorepo from scratch.
Complete Python GitHub Actions system. PROACTIVELY activate for: (1) uv-based CI workflows (10-100x faster), (2) Matrix testing across Python versions, (3) Dependency caching with setup-uv, (4) Parallel test execution, (5) Reusable workflows, (6) Publishing to PyPI with trusted publishing, (7) Code coverage with codecov, (8) Security scanning. Provides: Workflow templates, caching config, matrix strategies, composite actions. Ensures fast, reliable CI/CD pipelines.
Comprehensive code review and analysis for software quality assurance. Use when Claude needs to review code in any format including (1) Individual files (Python, R, JavaScript, etc.), (2) Directory structures and project organization, (3) Scripts and automation code, (4) Jupyter notebooks and data analysis workflows, (5) Documentation assessment and improvement suggestions, (6) Bug detection and logic verification, (7) Testing coverage and strategy evaluation, (8) Code consistency and maintainability analysis. Provides actionable improvement recommendations across all aspects of software development.
