python-performance
Master Python optimization techniques, profiling, memory management, and high-performance computing
按技能名称、说明或 GitHub 作者匹配的结果。
Master Python optimization techniques, profiling, memory management, and high-performance computing
Python machine learning with scikit-learn, PyTorch, and TensorFlow
Python debugging techniques, pdb, and IDE debugging tools
Python security best practices, OWASP, and vulnerability prevention
Master Python syntax, data types, control flow, functions, OOP, and standard library
Python type hints, type checking, and static analysis with mypy
Master Python package management with Poetry, dependency resolution, publishing, and project structure
Build production AI agents using the Claude Agent SDK (TypeScript/Python). Use this skill when the user asks about: (1) Building AI agents with Claude, (2) Using the @anthropic-ai/claude-agent-sdk or claude-age...
mypy - Static type checker for Python with gradual typing, strict mode, Protocol support, and framework integration
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
pytest - Python's most powerful testing framework with fixtures, parametrization, plugins, and framework integration for FastAPI, Django, Flask
Guide for publishing MCP servers to NPM (TypeScript/Node.js) or UVX (Python). Use when preparing MCP servers for public distribution, validating package configuration, or walking through the npm publish or uvx/...
Better Auth JWT verification for Python/FastAPI backends. Use when integrating Python APIs with a Better Auth TypeScript server via JWT tokens. Covers JWKS verification, FastAPI dependencies, SQLModel/SQLAlchem...
FastAPI patterns for building high-performance Python APIs. Covers routing, dependency injection, Pydantic models, background tasks, WebSockets, testing, and production deployment.
Python品質チェック。pytest/mypy/Black実行時に使用。「Pythonの品質チェック」「静的解析」で起動。
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...
Python testing best practices with pytest. Covers unit, integration, async tests, mocking, fixtures. Triggers: "напиши тесты", "write tests", "add tests", "test coverage", "pytest"
Modern Python backend stack: FastAPI, SQLAlchemy 2.0, Pydantic v2, uv, ruff. Use when: building Python APIs, async services, or working with Python backend code. Triggers: "fastapi", "python backend", "sqlalche...
Create reactive Python notebooks for IMSA racing data analysis using marimo. Use for building interactive filtering UIs (seasons, classes, events), connecting to DuckDB databases, creating reactive visualizatio...
Enterprise-grade Python expertise with production patterns for Python 3.13.9, FastAPI 0.115.x, Django 5.2 LTS, Pydantic v2, SQLAlchemy 2.0; activates for API development, ORM usage, async patterns, testing fram...
Proactively monitors file sizes and suggests refactoring BEFORE editing. Auto-invoked when files exceed size thresholds (150/200/300 lines) or complexity patterns detected. Works across JavaScript/TypeScript, P...
SLASH COMMAND ONLY - Do NOT invoke automatically. Only runs via /test-gh-skills command. Executes Python test orchestrator for 80 tests across 6 skill groups.
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
Helps write pytest tests for Python code including Azure Functions, MCP tools, and API endpoints. Use this skill when creating unit tests, integration tests, fixtures, or mocking external services.
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。