“Python”

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building…

You MUST activate this skill when working on Python projects

Checks prerequisites for building durable AI agents in Python with the Dapr Agents SDK or a Diagrid framework wrapper.

When running, packaging, linting, formatting, or type-checking Python — use uv, Ruff, and ty with changes scoped to touched code.

Python source semantics.

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

Use ArcGIS API for Python for GIS administration, spatial dataframes, feature/raster analysis, mapping, location services, geospatial deep learning, app…

Runs the bundled Python echo script with user-provided text.

Python code conventions covering type hints, Ruff formatting/linting, Pyrefly, pytest, async I/O, uv packaging, and dependency security scanning.

Pythonを書く/レビューする時に「よりPythonらしい書き方」を素早く参照するための定石集（開発用の手引き・チートシート）。

cuOpt REST server — start server, endpoints, Python/curl client examples.

Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux.

Expert guidance for writing professional Python code following industry best practices including PEP 8 compliance, testing, type hints, error handling, and…

End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.

Pythonic イディオム、PEP 8標準、型ヒント、堅牢で効率的かつ保守可能なPythonアプリケーションを構築するためのベストプラクティス。

Implements reliable automations in Python for REST APIs: httpx/requests patterns, retries, timeouts, pagination, typing, config, logging, and tests.

Simplify existing Python code

Use when writing or modifying Python code (.py, pytest, pip, uv).

Deliver Python backends across async FastAPI and Django or Flask service styles while keeping API design, validation, auth, and service behavior explicit.

Python refactoring for readability, maintainability, and performance.

Async Python for high-performance services.

Call Gala from Python — PyO3 bridge, Jupyter kernel, PyTorch integration, NumPy arrays

Maintainable Python for Catalyst: tooling discipline, idiomatic patterns, separation of concerns, SOLID boundaries, thin decorators, pragmatic use of advanced…

Transform sequential Python code into parallel/concurrent implementations.