api-request-validation
A skill for implementing robust API request validation in Python web frameworks like FastAPI using Pydantic. Covers Pydantic models, custom validators (email, password), field-level and cross-field validation,...
按技能名称、说明或 GitHub 作者匹配的结果。
A skill for implementing robust API request validation in Python web frameworks like FastAPI using Pydantic. Covers Pydantic models, custom validators (email, password), field-level and cross-field validation,...
Provides a comprehensive, reusable skill for standardized API error handling in FastAPI. Includes custom exception classes, global exception handlers, structured JSON logging, and standardized Pydantic error sc...
Provides a complete solution for JWT-based authentication in FastAPI applications. Use this skill when a user wants to add secure token-based authentication to their FastAPI project. This skill handles JWT crea...
Provides guidance and templates for containerizing applications using Docker. Use when a user wants to create Dockerfiles, optimize images, set up multi-container applications with docker-compose, or follow bes...
A skill for building RESTful APIs with FastAPI. Use this skill to create a new FastAPI project with a standard project structure, including routers, models, schemas, and services. This skill provides a boilerpl...
Provides patterns and guidance for implementing user-scoped data filtering and multi-tenancy in web applications. Use this skill when you need to: (1) Restrict data access based on user identity, (2) Implement...
Implement authentication with Scalekit for web applications, APIs, and MCP servers. Supports full-stack auth, modular SSO (SAML/OIDC), and MCP OAuth 2.1. Handles login, SSO, session management, token validation...
Systematic approach to diagnose and resolve backend service issues including dependency conflicts, database schema mismatches, import errors, and middleware configuration problems in FastAPI applications.
Manual API testing commands for pharmaceutical test generation workflow. Use when testing Docker-based FastAPI endpoints with Clerk JWT authentication, submitting URS files, and monitoring job execution. Provid...
Test FastAPI endpoints with Clerk JWT authentication while avoiding common environment, token expiry, and claim validation pitfalls. Use when tester-agent needs to validate API authentication, run end-to-end te...
Automates Clerk JWT token generation, validation, and export for FastAPI integration tests. Use when an agent must refresh tokens, verify JWT templates, or unblock authentication workflows without breaking envi...
Integrate OpenAI Agent SDK with Google Gemini backend into FastAPI service using the official Google Gemini API via OpenAI compatibility layer.
Generate and maintain the FastAPI backend structure for the RAG chatbot with proper project organization.
Modify OpenAI ChatKit starter to use FastAPI backend instead of OpenAI API, including citation support and error handling.
Generate FastAPI endpoint files with Pydantic models, dependency injection, and async handlers. Triggers on "create fastapi endpoint", "generate fastapi router", "python API endpoint", "fastapi route".
FastAPI/Django backend patterns and best practices
Comprehensive AI/ML development guide for LangChain, LangGraph, and ML model integration in FastAPI. Use when building LLM applications, agents, RAG systems, sentiment analysis, aspect-based analysis, chain orc...
Comprehensive backend development guide for Python/FastAPI/SQLAlchemy applications. Use when creating routes, services, models, schemas, database operations, or working with FastAPI endpoints, SQLAlchemy/Alembi...
Python development best practices, patterns, and conventions. Use when writing Python code, reviewing .py files, discussing pytest, asyncio, type hints, pydantic, dataclasses, or Python project structure. Trigg...
FastAPI - Modern Python web framework for building APIs with automatic validation, documentation, and async support. Use for API routes, dependency injection, Pydantic models, middleware, and authentication.
Build the FastAPI-based RAG service using OpenAI Agents/ChatKit, Neon Postgres, and Qdrant for the textbook. Use when creating ingestion pipelines, query endpoints, or configuring vector storage for book conten...
Embed the chatbot UI inside Docusaurus and connect it to the FastAPI RAG backend. Use when building chat components, handling streaming responses, or integrating chat widgets into MDX pages.
This skill should be used when the user asks to "convert asyncpg to SQLAlchemy", "convert database queries", "migrate asyncpg code", "transform asyncpg patterns to SQLAlchemy", or "update FastAPI database layer...
This skill should be used when the user asks to "detect asyncpg usage", "find asyncpg patterns", "scan for asyncpg imports", or "identify asyncpg database code in FastAPI projects". It automatically scans Pytho...
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。