GitHub
api-route-design
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...
Résultats pour « Python »
Skills correspondant au nom, à la description ou à l’auteur GitHub.
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GitHub
fastapi-app
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",...
GitHub
py-async-patterns
Async/await patterns for FastAPI and SQLAlchemy. Use when working with async code, database sessions, concurrent operations, or debugging async issues in Python.
GitHub
building-mcp-servers
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...
GitHub
qdrant-expert
A specialized guide for managing Qdrant Cloud collections, optimizing vector schemas for RAG, and executing precise semantic search queries in Python.
GitHub
data-analysis
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
GitHub
code-validation-sandbox
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.
GitHub
python-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.
GitHub
write-tests
Use this skill to write unit tests for Python code using pytest.
GitHub
pytest
Pytest testing patterns for Python. Trigger: When writing or refactoring pytest tests (fixtures, mocking, parametrize, markers).
GitHub
neo4j-patterns
Neo4j driver best practices for Python. Use when working with Neo4j connections, Cypher queries, transactions, or GraphRAG implementations.
GitHub
writing-standards
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...
GitHub
python-debugging
Python debugging methodology and problem-solving framework. Use when investigating exceptions, async issues, logging problems, or MCP integration failures in Python code.
GitHub
security-review
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...
GitHub
python-pro
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...
GitHub
fp-rater
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...
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