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Found 1,228 Skills
UV/UVX/Ruff toolchain for DiscoHy Thread Operad with Python packaging and linting
Comprehensively reviews Python libraries for quality across project structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. Provides actionable feedback and improvement recommendations. Use when evaluating library health, preparing for major releases, or auditing dependencies.
Designs intuitive Python library APIs following principles of simplicity, consistency, and discoverability. Handles API evolution, deprecation, breaking changes, and error handling. Use when designing new library APIs, reviewing existing APIs for improvements, or managing API versioning and deprecations.
Python development best practices including PEP 8 style guidelines, type hints, docstring conventions, and common patterns. Use when writing or modifying Python code.
Optimizes Python library performance through profiling (cProfile, PyInstrument), memory analysis (memray, tracemalloc), benchmarking (pytest-benchmark), and optimization strategies. Use when analyzing performance bottlenecks, finding memory leaks, or setting up performance regression testing.
Use this skill when the user wants to manage Python projects, virtual environments, or dependencies using uv, including creating venvs, installing packages, syncing environments, or running Python tools.
Use when implementing well-scoped Python tasks with clear requirements, writing unit tests, and producing documented code for senior-developer review.
Multi-language Workers development with Rust, Python, and WebAssembly. Use when building Workers in languages other than JavaScript/TypeScript, or when integrating WASM modules for performance-critical code.
hwpx-converter 사용을 위한 의존성(Pandoc, Python, pypandoc-hwpx)을 자동 설치합니다.
Apply production-ready Instantly SDK patterns for TypeScript and Python. Use when implementing Instantly integrations, refactoring SDK usage, or establishing team coding standards for Instantly. Trigger with phrases like "instantly SDK patterns", "instantly best practices", "instantly code patterns", "idiomatic instantly".
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.
Senior Python developer. Use when writing, reviewing, or refactoring Python code. Enforces idiomatic Python, type hints, and modern patterns.