mcp-builder
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...
按技能名称、说明或 GitHub 作者匹配的结果。
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.
Helps create, debug, and deploy Azure Functions using the Python v2 programming model. Use this skill when working with HTTP triggers, MCP triggers, timer triggers, or any Azure Functions development including...
Generate standardized Python project structure with pyproject.toml, UV environment, pytest configuration, and workspace-hub compliance. Creates production-ready project scaffolding.
Create interactive scientific and analytical charts with Plotly (JavaScript & Python)
Manage Temporal workflows: server lifecycle, worker processes, workflow execution, monitoring, and troubleshooting for Python SDK with temporal server start-dev.
Environment configuration and secrets management skill using UV for Python projects. Handles .env files, environment variables, secrets encryption, multi-environment setups, and secure configuration patterns. U...
Use when building or structuring Python CLI commands with Typer, including commands, options, and multi-command apps.
Use when choosing the right modern Python tooling workflow for a project or script (uv setup, quality tools, CLI, logging, packaging) or when unsure which Python tooling skill applies.
Fast, reproducible scientific Python environments with pixi - conda and PyPI unified
Use when running or authoring standalone Python scripts with uv, especially when choosing Python versions, adding one-off dependencies, using no-project mode, or embedding inline script metadata.
Use when building or publishing Python packages with uv, including dist artifacts and pre-publish checks.
Use when initializing a Python project or script, adding dependencies, or running commands with uv, especially to avoid pip install and direct python/pytest usage.
Build LiveKit Agent backends in Python. Use this skill when creating voice AI agents, voice assistants, or any realtime AI application using LiveKit's Python Agents SDK (livekit-agents). Covers AgentSession, Ag...
Patterns for using Peewee ORM with DatabaseProxy and scoped connections/transactions. Use when setting up DatabaseProxy, managing connection_context/atomic blocks, or writing tests with SQLite.
Use when choosing or configuring Python logging, especially deciding between stdlib logging and loguru for apps or CLIs.
Use when configuring or running Python quality tools (ruff, ty, pytest, coverage, CI gates) and when enforcing a pre-merge quality checklist.
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。