按技能名称、说明或 GitHub 作者匹配的结果。
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...
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.
Universal Python/Node.js backend expert. Handles API routes, database operations, business logic, configuration management, anti-duplication checks. Auto-activates on keywords "backend", "API", "database", "ser...
Complete FastAPI development including framework fundamentals, architecture patterns (Clean Architecture, Hexagonal Architecture, DDD), dependency injection, async patterns, and best practices. Use when impleme...
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search in FastAPI backends. Use when implementing knowledge-grounded AI, building document Q&A systems,...
Python specialist for Faiston One Platform. Use when writing FastAPI endpoints, Google ADK agents, async patterns, Pydantic models, and Lambda handlers. PROACTIVE for code review and refactoring.
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices. Use for Python projects, APIs, data processing, or automation scripts.
Comprehensive FastAPI backend development with full codebase documentation, architecture planning, router design, endpoint specification, and automated error resolution. Use when building FastAPI applications f...
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。