A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
Public repository for Agent Skills
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
SoTA open-source TTS
CLI tool for configuring and monitoring Claude Code
All Algorithms implemented in Python
An AI SKILL that provide design intelligence for building professional UI/UX multiple platforms
结合知识库、知识图谱管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.
Machine Learning Systems
bloom - evaluate any behavior immediately 🌸🌱
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
一个基于nano banana pro🍌的原生AI PPT生成应用,迈向"Vibe PPT"; 支持上传任意模板图片,上传任意素材&智能解析,一句话/大纲/页面描述自动生成PPT,口头修改指定区域、一键导出可编辑ppt - An AI-native slides generator based on nano banana pro🍌
💫 Toolkit to help you get started with Spec-Driven Development
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Incremental engine for long horizon agents 🌟 Star if you like it!
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ,数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
A framework for efficient model inference with omni-modality models