Skills matching the name, description or GitHub author.
Use when designing RESTful API endpoints in FastAPI or Python projects. Triggers for: creating GET/POST/PUT/DELETE endpoints, request validation with Pydantic, response formatting with JSON schemas, status code...
Use when creating FastAPI backend applications - route handlers, dependencies, CORS config, or Pydantic models. NOT when frontend logic, non-Python backends, or unrelated server-side code. Triggers: "FastAPI",...
Async/await patterns for FastAPI and SQLAlchemy. Use when working with async code, database sessions, concurrent operations, or debugging async issues in Python.
Guides creation of 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...
A specialized guide for managing Qdrant Cloud collections, optimizing vector schemas for RAG, and executing precise semantic search queries in Python.
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
Validate code examples across the 4-Layer Teaching Method with intelligent strategy selection. Use when validating Python/Node/Rust code in book chapters. NOT for production deployment testing.
Generate pytest tests with parametrization, shared fixtures, minimal mocking. Use for unit tests and test coverage. Follows 1-1 file mapping and real object testing.
Use this skill to write unit tests for Python code using pytest.
Pytest testing patterns for Python. Trigger: When writing or refactoring pytest tests (fixtures, mocking, parametrize, markers).
Neo4j driver best practices for Python. Use when working with Neo4j connections, Cypher queries, transactions, or GraphRAG implementations.
Technical writing standards for documentation, docstrings, commit messages, and communication. Use when writing README files, docstrings (PEP 257), PR descriptions, error messages, or technical docs. Focuses on...
Python debugging methodology and problem-solving framework. Use when investigating exceptions, async issues, logging problems, or MCP integration failures in Python code.
Security vulnerability detection and remediation for Python code. Use PROACTIVELY after writing code that handles user input, API endpoints, authentication, or sensitive data. Flags secrets, injection vulnerabi...
Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI. Use PROACT...
Automatically rates functional programming adherence after editing or creating code files. Use when: (1) A code file has been edited or created, (2) The file contains programming logic (JavaScript/TypeScript, P...
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.