仓库/Skill 库

实时全球情报仪表板。AI 驱动的新闻聚合、地缘政治监测与基础设施追踪，统一呈现于态势感知界面。Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface

🤯 LobeHub 是你的首席 Agent Operator，通过招聘、排班与汇报机制，将你的 Agent 组织为 7×24 持续运转的 AI 团队。🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.

AI 编程助手 Skill（兼容 Claude Code、Codex、OpenCode、Cursor、Gemini CLI 等），可将任意代码、SQL schema、R 脚本、shell 脚本、文档、论文、图片或视频文件夹转换为可查询的知识图谱，应用代码、数据库 schema 与基础设施统一于一张图谱中。AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.

Taste-Skill——赋予 AI 好品味，阻止 AI 生成无聊、泛化的内容。Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop

在 tool 输出、日志、文件与 RAG chunks 进入 LLM 之前进行压缩，token 减少 60-95%，答案保持不变。可作为库、proxy 或 MCP server 使用。Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

永不停歇地编程。免费的 MIT 许可 AI gateway：一个端点接入 359 家 provider（150+ 免费）、1200+ 模型 Kimi、Claude、GPT、Gemini、GLM、DeepSeek、MiniMax。兼容 Claude Code、Codex、Cursor、OpenCode、Cline 和 Copilot。支持配额感知的自动 fallback，RTK+Caveman 压缩节省 15-95% token，支持 MCP/A2A，提供 Desktop/PWA。由数百位贡献者共同构建。Never stop coding. Free MIT AI gateway: one endpoint, 359 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by hundreds of contributors

Bash 即一切——一个类 Claude Code 的 nano「agent harness」，从 0 到 1 构建。Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

🕷️ 自适应 Web 爬虫框架，涵盖从单次请求到全规模抓取的全场景！🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

一个精选的 Claude Skills、资源和工具列表，用于定制 Claude AI 工作流A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

12 节课入门 AI Agent 构建。18 Lessons to Get Started Building AI Agents

让你的 AI agent 拥有看见整个互联网的眼睛。可阅读与搜索 Twitter、Reddit、YouTube、GitHub、Bilibili、XiaoHongShu —— 一个 CLI，零 API 费用。Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

omo/lazycodex：面向 tokenmaxxer 的编码 Agent；适用于复杂代码库的独门 Agent 编排框架。支持你的 Codex 和 OpenCodeOmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.

从 Anthropic 提取的系统提示词——Claude Fable 5、Opus 4.8、Claude Code、Claude Design；OpenAI——ChatGPT 5.5 Thinking、GPT 5.5 Instant、Codex；Google——Gemini 3.5 Flash、3.1 Pro、Antigravity；以及 xAI Grok、Cursor、Copilot、VS Code、Perplexity 等。定期更新Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro, Antigravity. xAI - Grok, Grok Bot, Cursor, Kimi and more! Updated regularly.

停止租用你的智能。用 AnythingLLM 拥有它。本地优先的 Agent 体验所需的一切Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

学习它，构建它，并为他人发布Learn it. Build it. Ship it for others.

基于 Claude Code 构建的 AI 驱动求职系统，含 14 种 skill 模式、Go 仪表盘、PDF 生成与批处理能力。Open-source AI job search: scan job portals, evaluate listings with a structured A-F rubric into a 1.0-5.0 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…)

📝一款简洁优雅的 markdown 编辑器，支持 Linux、macOS 和 Windows📝A simple and elegant markdown editor, available for Linux, macOS and Windows.

Context7 Platform——为 LLM 与 AI 代码编辑器提供最新的代码文档Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

AI agent skill，可在 Reddit、X、YouTube、HN、Polymarket 和 Web 上研究任意主题，并综合生成有据可依的摘要。AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary

Python SDK、代理服务器（AI Gateway），以 OpenAI（或原生）格式调用 100+ LLM API，支持成本追踪、guardrails、负载均衡和日志记录。[Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]

精心整理的列表，收录 Anthropic 出品的 Claude Code 相关优质 skills、hooks、slash-commands、agent orchestrators、应用与插件。A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC. A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins

Claude Code 的学术研究 Skills：research → write → review → revise → finalizeAcademic Research Skills for Claude Code: research → write → review → revise → finalize

轻量、开源的 AI Agent，适用于你的工具、对话和工作流Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

全球首个开源、Agentic 视频制作系统，提供 12 条流水线、52 个工具、500+ agent skills，将 AI 编程助手升级为完整视频制作工作室。World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video production studio.

AAS Core 是面向 Agent 的本地控制平面，支持完整的目录发现、Agent 自主选择、stack 验证与规划，背靠 2,005+ agentic skills。包含 CLI、本地 MCP、目录、插件和 Workbench。AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,005+ agentic skills. Includes CLI, local MCP, catalog, plugins, and Workbench.

在你机器上运行的求职工具。基于 Claude Code 构建的 AI 求职框架：评估职位、定制简历、撰写求职信、准备面试。Fork 它并拥有它。The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.

面向 Obsidian 的 Agent skills，让 Agent 掌握 Obsidian CLI 以及 Markdown、Bases、JSON Canvas 等开放格式的使用。Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.

《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码

Claude Code 与 AI Agent 的 Marketing skills，覆盖 CRO、文案、SEO、数据分析与增长工程。Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.

可安装的 GitHub 资源库，提供 1,800+ 面向 Claude Code、Cursor、Codex CLI、Gemini CLI、Antigravity 等的 Agentic Skill。包含专用插件、安装 CLI、bundles、工作流以及官方/社区 Skill 集合Installable GitHub library of 1,800+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes specialized plugins, installer CLI, bundles, workflows, and official/community skill collections.

编写 HTML，渲染视频，为 agents 而生。Write HTML. Render video. Built for agents.

增强版 ChatGPT 克隆：支持 Agents、MCP、Skills、DeepSeek、Anthropic、AWS、OpenAI、Responses API、Azure、Groq、o1、GPT-5、Mistral、OpenRouter、Vertex AI、Gemini、Artifacts、AI 模型切换、消息搜索、Code Interpreter、langchain、DALL-E-3、OpenAPI Actions、Functions、安全多用户认证、Presets，支持自托管开源。仍在活跃维护。Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active

构建有韧性的 AgentBuild resilient agents.

DeepTutor:Agent 原生的个性化辅导系统。https://deeptutor.info/DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.

高性能代码智能 MCP server。将代码库索引为持久化知识图谱，平均仓库仅需毫秒级。支持 158 种语言，亚毫秒级查询，token 用量减少 99%。单一静态二进制，零依赖。High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.