按技能名称、说明或 GitHub 作者匹配的结果。
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...
CLI application patterns for Python. Triggers on: cli, command line, typer, click, argparse, terminal, rich, console, terminal ui.
Python testing with pytest using uv package manager. Use when: (1) Running Python tests, (2) Writing test files or test functions, (3) Setting up fixtures, (4) Parametrizing tests, (5) Generating coverage repor...
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",...
Interactive HTTPS proxy for API security testing with traffic interception, modification, and replay capabilities. Supports HTTP/1, HTTP/2, HTTP/3, WebSockets, and TLS-protected protocols. Includes Python scrip...
Check and create virtual environments for projects that need them. Use when starting Python/Node projects, or when dependency isolation is needed. Activates for Python, Node.js, and similar ecosystems.
Provides Python patterns for type-first development with dataclasses, discriminated unions, NewType, and Protocol. Must use when reading or writing Python files.
Expert guidance for creating and working with marimo notebooks - reactive Python notebooks that can be executed as scripts and deployed as apps. Use when the user asks to create marimo notebooks, convert Jupyte...
Python virtual environment management, dependency handling, and project setup automation.
Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank,...
Context management tools for Claude Code - provides intelligent codebase mapping with Python, Rust, and C++ parsing, duplicate detection, and MCP-powered symbol queries. Use this skill when working with large c...
Modern API development patterns for building high-performance, scalable web services. Expert in async/await patterns, REST/GraphQL APIs, middleware, error handling, rate limiting, OpenAPI documentation, testing...
Automatically generate and execute Python test scripts from OpenAPI specifications and GraphQL schemas with enhanced features
Security intelligence for code analysis. Detects SQL injection, XSS, CSRF, authentication issues, crypto failures, and more. Actions: scan, analyze, fix, audit, check, review, secure, validate, sanitize, protec...
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
Python FastAPI development with uv package manager, modular project structure, SQLAlchemy ORM, and production-ready patterns.
Expert Unreal Engine 5 developer and technical artist for complete game development via agentic coding. Enables AI-driven control of Unreal Editor through MCP, Python scripting, Blueprints, and C++ for level de...
FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starlette, async api, rest api, uvicorn.
Master Cohere v2 Chat API with Python, specializing in entity extraction using JSON Schema mode for structured outputs. Use when extracting entities from text, building data extraction pipelines, implementing N...
Advanced Python Scheduler - Task scheduling and job queue system
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank,...
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 production-ready Dockerfiles with multi-stage builds, security best practices, and optimization. Use when containerizing Python applications for production deployment.
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。