debugfastapi
Debug FastAPI applications systematically with this comprehensive troubleshooting skill. Covers async/await issues, Pydantic validation errors (422 responses), dependency injection failures, CORS configuration...
按技能名称、说明或 GitHub 作者匹配的结果。
Debug FastAPI applications systematically with this comprehensive troubleshooting skill. Covers async/await issues, Pydantic validation errors (422 responses), dependency injection failures, CORS configuration...
Design, implement, and debug a custom ChatKit backend in Python that powers the ChatKit UI without Agent Builder, using the OpenAI Agents SDK (and optionally Gemini via an OpenAI-compatible endpoint). Use this...
Documentation for the FastAPI backend, endpoints, and dependency injection.
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth...
This skill should be used when the user asks to "debug backend tests", "fix pytest failures", "analyze Python errors", "fix FastAPI bugs", or mentions keywords like "pytest", "IntegrityError", "ValidationError"...
Build async APIs with FastAPI, including endpoints, dependency injection, validation, and testing. Use when creating REST APIs, web backends, or microservices.
This skill orchestrates code review and plan validation using Google Gemini CLI. It should be used when users want to validate implementation plans, review completed code, or discuss architecture decisions with...
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...
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",...
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
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth...
Expert-level FastAPI development for high-performance Python APIs with async support
Comprehensive reference for npm scripts in a full-stack monorepo containing FastAPI backend, React Native mobile app, and React/Vite web app. Use when working with build, test, lint, or typecheck commands, or w...
Scaffolds Pydantic models for request/response validation with advanced validation rules. Use for complex data models. Related: fastapi-endpoint-scaffolder for quick endpoint creation.
Scaffolds pytest unit tests for Python backend functions and classes. Use when creating tests for FastAPI endpoints, services, and utilities.
Scaffolds a new FastAPI endpoint with Pydantic models, router registration, and tests. Use when creating new backend API endpoints. Related: pydantic-model-scaffolder for complex model validation.
A workflow for implementing new features in YT Lite v3, covering backend (FastAPI), frontend (templates/static), and design aesthetics.
Complete FastAPI API development framework for Python. Provides comprehensive assistance for building APIs with routing, authentication (JWT, OAuth2, Better Auth), Pydantic models, database integration, and dep...
Generate code templates for common patterns: REST API endpoints, React components, database models, authentication, error handling. Use when implementing new features or creating boilerplate code. This skill p...
Use BEFORE implementing, writing, configuring, or setting up ANY feature involving libraries, frameworks, or complex APIs - even before reading existing code. Fetches current documentation to ensure correct usa...
Guides modern Python project development. Use when pyproject.toml or requirements.txt is detected. Supports Python 3.13 + uv + ruff + mypy environment, FastAPI/FastMCP implementation, pytest, and Docker configu...
Build, review, and refactor Python backend services. Use for tasks like FastAPI/Flask service setup, API design, request/response schemas, database access (PostgreSQL), migrations, background jobs, observabilit...
Refactor and sanitize FastAPI codebases by removing dead code, enforcing Pydantic V2 standards, and running deterministic linters.
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。