mypy
Professional static type checking for Python with mypy (v1.19.1). Use when working with Python type hints, type annotations, or integrating mypy into codebases for: (1) Adding type annotations to Python code, (...
Skills matching the name, description or GitHub author.
Professional static type checking for Python with mypy (v1.19.1). Use when working with Python type hints, type annotations, or integrating mypy into codebases for: (1) Adding type annotations to Python code, (...
Ensure Python code follows industry standards using Ruff linter with linting-workflow framework
Generate language-specific docstrings for C#, Java, Python, and TypeScript following industry standards (PEP 257, Javadoc, JSDoc, XML documentation)
Build Dify plugins (Tool, Trigger, Extension, Model, Datasource, Agent Strategy). Use when integrating external APIs, adding webhooks, implementing model providers, connecting data sources, or creating custom a...
Redis patterns, caching strategies, and Laravel Horizon / Python task queues.
Python async/await patterns for concurrent programming. Covers asyncio, aiohttp, async databases, task groups, and performance optimization.
Ensure test coverage percentage is displayed in README.md for Next.js and Python projects following industry standards
Build fully automated integration test suites for MCP (Model Context Protocol) servers using STDIO transport. Use when creating pytest tests for Python/FastMCP servers, Vitest tests for TypeScript servers, or u...
Generate comprehensive pytest test files for Python using the test-generator-framework
Set up Python projects using nix/direnv with uv for environment management. Use when creating new Python projects, initializing Python environments, or when the user wants automatic Python virtual environment s...
Guide for creating MCP (Model Context Protocol) servers that enable LLMs to interact with external services. Use when building MCP servers, integrating external APIs, implementing tool servers, or creating agen...
Perform comprehensive dead code and clean-up analysis in Python projects using static analysis, coverage, dependency checks, and security scanning. Use when asked to clean up code, find unused code, analyze dep...
Modern Python coaching covering language foundations through advanced production patterns. Use when asked to "write Python code", "explain Python concepts", "set up a Python project", "configure Poetry or PDM",...
Create interactive scientific and analytical charts with Plotly (JavaScript & Python)
Web application testing toolkit using Playwright with Python. Use for verifying frontend functionality, debugging UI behavior, capturing browser screenshots, viewing browser logs, and automating web interaction...
Comprehensive Word document toolkit for reading, creating, and editing .docx files. Supports text extraction, document creation with python-docx, and tracked changes via redlining workflow. Use for legal, acade...
Generate standardized Python project structure with pyproject.toml, UV environment, pytest configuration, and workspace-hub compliance. Creates production-ready project scaffolding.
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
A math skill that can perform magic number calculations using python scripts.
Build AI agents with Google ADK Python (Agent Development Kit). Use for multi-agent systems, workflow agents (sequential/parallel/loop), Vertex AI deployment, tool integration, human-in-the-loop.
Build MCP servers for LLM-external service integration. Use for FastMCP (Python), MCP SDK (Node/TypeScript), tool design, API integration, resource providers.
Build backends with Node.js, Python, Go (NestJS, FastAPI, Django). Use for REST/GraphQL/gRPC APIs, auth (OAuth, JWT), databases, microservices, security (OWASP), Docker/K8s.
Use when building FastAPI apps with async database operations, complex dependency injection, partial update endpoints, async testing, or converting Python utilities to API endpoints
Guide for refactoring Python code to follow SOLID principles and improve maintainability
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.