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Found 21 Skills
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke for async SQLAlchemy, JWT authentication, WebSockets, OpenAPI documentation.
Modern Python project architecture guide for 2025. Use when creating Python projects (APIs, CLI, data pipelines). Covers uv, Ruff, Pydantic, FastAPI, and async patterns.
Process multiple video generation requests efficiently with Kling AI. Use when generating multiple videos or building content pipelines. Trigger with phrases like 'klingai batch', 'kling ai bulk', 'multiple videos klingai', 'klingai parallel generation'.
Consult this skill for async Python patterns and concurrency. Use when building async APIs, concurrent systems, I/O-bound applications, implementing rate limiting, async context managers. Do not use when CPU-bound optimization - use python-performance instead. DO NOT use when: testing async code - use python-testing async module.
Use this skill when you need to work with notion through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
Use this skill when you need to work with search-mcp through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
Fix ServiceResult pattern mistakes causing test failures and type errors. Use when seeing "dict object has no attribute success", "mock not returning ServiceResult", mock assertions failing, or type errors with ServiceResult. Analyzes .py test files and service implementations. Covers async/await patterns, monad operations (map, bind, flatmap), and proper mock configuration.
Use this skill when you need to work with pubmed through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
Use this skill when you need to work with context7 through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
Provides Complete patterns for testing async Python code with pytest: pytest-asyncio configuration, AsyncMock usage, async fixtures, testing FastAPI with AsyncClient, testing Kafka async producers/consumers, event loop and cleanup patterns. Use when: Testing async functions, async use cases, FastAPI endpoints, async database operations, Kafka async clients, or any async/await code patterns.