技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: generation

英文目录

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

30K
Stars
88/100
信任
分类: coding-agents审计

A portable AI agent skill that enhances AI-generated user interfaces with better layout, typography, motion, and spacing to avoid generic outputs.

65K
Stars
87/100
信任
分类: development审计

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

83K
Stars
87/100
信任
分类: agent-frameworks审计

AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.

60K
Stars
83/100
信任
分类: development审计

ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀

38K
Stars
86/100
信任
分类: automation审计

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

37K
Stars
82/100
信任
分类: rag-knowledge审计

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

34K
Stars
87/100
信任
分类: media-automation审计

A modular graph-based Retrieval-Augmented Generation (RAG) system

34K
Stars
82/100
信任
分类: data审计

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

33K
Stars
85/100
信任
分类: rag-knowledge审计

VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning

31K
Stars
87/100
信任
分类: media-automation审计

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

28K
Stars
78/100
信任
分类: rag-knowledge审计

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

26K
Stars
87/100
信任
分类: data审计