按技能名称、说明或 GitHub 作者匹配的结果。
Use when testing Claude Code plugins programmatically, building SDK applications, encountering plugin loading failures (plugins array empty), getting AttributeError on message.type, or needing verified Claude A...
Deploy Flask server to remote machine (185.96.221.52). Stops remote server, copies files via scp, restarts server, and verifies. Use when deploying Python server updates to remote Mac mini.
Stop local Flask server running on port 8080. Kills process cleanly using lsof or PID file. Use when stopping local Python development server.
Start Flask server locally for development. Runs server in foreground or background with nohup. Use when starting local Python server for testing or development.
Format and analyze Python code using ruff (formatting/linting) and ty (static type checking). Use when the user asks to format Python code, run linting, check types, fix code style issues, or analyze Python cod...
Implement native Rust ML inference with Candle framework. Use when building GPU-accelerated ML pipelines without Python dependencies.
Bridge Rust and Python using PyO3 with proper GIL handling and async compatibility. Use when integrating Python ML models or libraries.
WHEN: General Python code review, PEP8 compliance, type hints, Pythonic patterns WHAT: PEP8/style check + Type hint validation + Pythonic idioms + Error handling + Documentation WHEN NOT: FastAPI → fastapi-revi...
WHEN: Pandas/NumPy code review, data processing, vectorization, memory optimization WHAT: Vectorization patterns + Memory efficiency + Data validation + Performance optimization + Best practices WHEN NOT: Web f...
WHEN: Flask project review, Blueprint structure, extensions, request handling WHAT: Blueprint organization + Extension patterns + Request/response handling + Configuration + Testing WHEN NOT: FastAPI → fastapi-...
WHEN: Machine Learning/Deep Learning code review, PyTorch/TensorFlow patterns, Model training optimization, MLOps checks WHAT: Model architecture review + Training patterns + Data pipeline checks + GPU optimiza...
WHEN: FastAPI project review, Pydantic models, async endpoints, dependency injection WHAT: Pydantic validation + Dependency injection + Async patterns + OpenAPI docs + Security WHEN NOT: Django → django-reviewe...
Expert in writing PEP 257 compliant docstrings using Google-style format with custom parameter separator. Use when writing or updating Python documentation.
Expert in conducting thorough code reviews for Python projects using GitHub MCP, covering test coverage, security practices, PEP 8 compliance, and code organization. Use when reviewing code or PRs.
Expert in Python 3.10+ fundamentals and best practices for the Drift project including import ordering (isort), code organization, and PEP 8 conventions. Use when writing or reviewing Python code.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Generate working Python/rclpy code examples for Physical AI & Humanoid Robotics textbook with tier-specific variants (Simulation/Jetson/Robot).
Authoritative guidelines for writing production-grade ROS 2 (Humble) Python 3.11+ code (leveraging 3.12+ features where compatible) for Physical AI applications.
Comprehensive guide to Python async/await patterns, best practices, and anti-patterns. Covers asyncio fundamentals, coroutines, async context managers, task management, common libraries (aiohttp, aiofiles, asyn...
Comprehensive FastAPI best practices, patterns, and conventions for building production-ready Python web APIs. Covers application structure, async patterns, Pydantic models, dependency injection, database integ...
Comprehensive reference guide for Python type hints, static type checking with mypy, modern type annotation patterns (PEP 484, 585, 604, 612, 613), and type hint best practices for Python 3.9+. Use during code...
Comprehensive Python testing best practices, pytest conventions, test structure patterns (AAA, Given-When-Then), fixture usage, mocking strategies, code coverage standards, and common anti-patterns. Essential r...
Analyze and optimize text for search engines. Execute Python script for detailed SEO analysis. Use when optimizing for keywords, search visibility, or content structure.
Analyze emotional tone, sentiment polarity, and psychological impact of text. Execute Python script for detailed sentiment analysis. Use when analyzing mood, attitude, or emotional content.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。