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“FastAPI”的搜索结果

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分类目录: 编程开发

显示第 433–456 个,共 501 个

编程开发 FastAPI 清除筛选

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GitHub

integrated-rag-chatbot-developer

Awais68

Design, generate, and fully deploy a stylish, production-ready Retrieval-Augmented Generation (RAG) chatbot embedded directly into any website/project. Uses OpenAI ChatKit widget + Cohere embeddings + Qdrant Cl...

GitHub

modern-python

YunosukeYoshino

Modern Python development with uv, FastAPI, Pydantic, and clean architecture. Use for Python project setup, LLM app development, API design, testing strategy, and architecture decisions. Ideal for TypeScript de...

GitHub

fastapi-templates

HermeticOrmus

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

GitHub

python-expert

ljchg12-hue

Expert Python development including FastAPI, Django, data processing, async programming, and best practices

GitHub

fastapi-setup

maneeshanif

Initialize FastAPI backend projects with UV package manager, configure project structure, install dependencies, and set up basic FastAPI application. Use when setting up a new FastAPI backend or initializing th...

GitHub

better-auth-integration

maneeshanif

Integrate Better Auth for JWT-based authentication in Next.js frontend and FastAPI backend. Handles signup, login, logout, token management, and protected routes. Use when implementing authentication for Phase...

GitHub

chatkit-backend

maneeshanif

Build FastAPI backend for OpenAI ChatKit with SSE streaming, conversation persistence, and AI agent integration. Handles /chatkit endpoint, ChatKit-compatible SSE format, conversation models, and message storag...

GitHub

rag-pipeline-builder

MrOwaisAbdullah

Complete RAG (Retrieval-Augmented Generation) pipeline implementation with document ingestion, vector storage, semantic search, and response generation. Supports FastAPI backends with OpenAI and Qdrant. LangCha...

GitHub

fullstack-app

djliden

Guidance for building fullstack apps with Vite (React + TypeScript) frontend and FastAPI backend. Use when demos need a web UI beyond what Streamlit provides.

GitHub

token-efficient-mcp-template

ingpoc

This skill should be used when creating token-efficient hook systems and MCP server architectures for web applications. Use for React/FastAPI, Django, Node.js projects that need smart caching, progressive conte...

GitHub

fastapi-patterns

cuba6112

Advanced FastAPI patterns including hierarchical dependency injection, background task management, and type-safe dependency annotation. Triggers: fastapi, dependency-injection, background-tasks, annotated-depen...

GitHub

backend-development

untangledfinance

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...

GitHub

implementing-websocket-realtime

miethe

Use this skill when implementing real-time features with WebSockets, including connection lifecycle management, pub/sub event patterns, state synchronization between client and server, event broadcasting, and i...

GitHub

project-architecture-patterns

roeimed0

Architecture patterns for rRNA-Phylo project including FastAPI backend design, service organization, async task processing with Celery, Pydantic schemas, testing with pytest, Biopython integration, and API desi...

GitHub

vercel-deployment

MUmerRazzaq

Comprehensive skill for deploying applications to Vercel. Covers all deployment types: single projects, monorepos, static sites, Next.js, React, Python/FastAPI backends, serverless functions, and edge functions...

GitHub

fastapi-integration-testing

MUmerRazzaq

Provides a comprehensive guide and templates for creating integration tests for FastAPI applications. Use this skill when you need to set up or write integration tests involving a database, authentication, file...

GitHub

api-request-validation

MUmerRazzaq

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,...

GitHub

fastapi-error-handling

MUmerRazzaq

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...

GitHub

fastapi-jwt-auth

MUmerRazzaq

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...

GitHub

docker-containerization

MUmerRazzaq

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...

GitHub

fastapi-rest-api-skill

MUmerRazzaq

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...

GitHub

user-scoped-data-filtering

MUmerRazzaq

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...

GitHub

scalekit-auth

scalekit-inc

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...

GitHub

backend-debugging-dependency-resolution

Rayder-23

Systematic approach to diagnose and resolve backend service issues including dependency conflicts, database schema mismatches, import errors, and middleware configuration problems in FastAPI applications.

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。

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