仓库/Skill 库

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

深入讲解 LLM、RAG 以及真实场景 AI Agent 应用的教程。In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

通过一条命令，使用 AI 编程 Agent 克隆任意网站Clone any website with one command using AI coding agents

50+ 教程与实现，覆盖生成式 AI Agent 技术，从基础对话机器人到复杂多 Agent 系统。50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

端到端、代码优先的教程，助你构建生产级 GenAI Agent，覆盖从原型到企业级部署的全流程。End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

⚡️ 下一代个人 AI 助手，由 LLM、RAG 和 Agent 循环驱动，支持 computer-use、browser-use 和 coding agent，演示地址：https://demo.openagentai.org⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

一套开箱即用的 Claude Code 学术模板，基于 LaTeX/Beamer + R，支持多 Agent 评审、质量门禁、对抗式 QA 与复现协议。A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.

面向Apple开发者文档的MCP服务器——在Claude、Cursor及AI助手中检索iOS/macOS/SwiftUI/UIKit文档、WWDC视频、Swift/Objective-C API及代码示例MCP server for Apple Developer Documentation - Search iOS/macOS/SwiftUI/UIKit docs, WWDC videos, Swift/Objective-C APIs & code examples in Claude, Cursor & AI assistants

Claude Code Skill Factory——一个强大的开源工具包，用于大规模构建和部署生产级 Claude Skills、Code Agent、自定义斜杠命令和 LLM Prompts。可轻松生成结构化的 skill 模板、自动化工作流集成，以简洁、开发者友好的配置加速 AI Agent 开发。Claude Code Skill Factory — A powerful open-source toolkit for building and deploying production-ready Claude Skills, Code Agents, custom Slash Commands, and LLM Prompts at scale. Easily generate structured skill templates, automate workflow integration, and accelerate AI agent development with a clean, developer-friendly setup.

面向 agent 的纯数学工具：搜索实例与反例，进行精确计算，并独立验证结论所证内容。Pure mathematics for agents: search for examples and counterexamples, compute exactly, and independently check what a result proves.

自动更新的开源知识库，面向 AI Agent、RAG 系统、MCP server、prompt、tool、模板以及新一代 Web 开发。An auto-updating open-source vault for AI agents, RAG systems, MCP servers, prompts, tools, templates, and next-generation web development.

可复现研究仓库的 GitHub 模板 —— 两层 Python 3.10+/uv monorepo，将通用基础设施与项目级代码分离，配有 pytest 覆盖率门禁（基础设施 60%、项目 90%）、16 阶段构建流水线、通过 pandoc/LaTeX 实现的 Markdown 转 PDF 渲染，以及 25 个标准示例。GitHub template for reproducible research repos — two-layer Python 3.10+/uv monorepo splitting generic infrastructure from per-project code, with pytest coverage gates (60% infra, 90% projects), a 16-stage build pipeline, markdown-to-PDF rendering via pandoc/LaTeX, and 25 canonical exemplars.

builderr.ai 交易 Agent 模板——fork 后实现 decide()，即可提交。Trading agent template for builderr.ai — fork this, implement decide(), submit.

一个可运行的 TypeScript 教程，从零搭建一个极简 DeepSeek 风格 Agent 框架。A runnable TypeScript tutorial that builds a minimal DeepSeek-style agent harness from scratch.

AutoScientists：确定性的多 agent 科学发现协调框架 —— docxology/template 可复现研究范式的公开范例（测试覆盖率 ≥90%，无 mock，GitHub 与 Zenodo 10.5281/zenodo.20533669 双重发布）。AutoScientists: a deterministic multi-agent scientific-discovery coordination harness — public exemplar of the docxology/template reproducible-research paradigm (≥90% test coverage, no mocks, double-published GitHub + Zenodo 10.5281/zenodo.20533669).

面向飞书/Lark 的开源 AI 辅助入职方案：可配置工作流、文档 OCR 与审阅、Bitable 同步、提醒功能，以及零凭证 Demo。Open-source AI-assisted HR onboarding for Feishu/Lark: configurable workflows, document OCR and review, Bitable sync, reminders, and a zero-credential demo.

通过实战教程构建有效的 AI 评测，使用真实 agent 提升生产系统技能🎯 Build effective AI evaluations through a hands-on tutorial, using a realistic agent to enhance your production system skills.

Perseus Vault 与 DeepSeek Harness 集成：MCP 配置示例 + 原生 pre-step memory-injection 插件Perseus Vault integration for DeepSeek Harness: MCP config example + native pre-step memory-injection plugin

🔧 通过灵活的 prompt 模板与任务规范项目简化 AI Agent，实现高效的指令与记忆管理。🔧 Streamline AI agents with this flexible prompt template and task specification project for effective instruction and memory management.

Python 包，通过 MCP、REST 与直接 Python 调用等方式，按 OHDSI 问题模板结构化研究问题。A Python package providing tools (MCP, REST, direct Python calls) for structuring research questions according to the OHDSI question templates.

Kiki — 一个面向 Google Campaign Manager 360 的开源对话式 trafficking 助手。集成 70 个 CM360 工具，具备写入安全确认、内置 QA 以及零凭证 MCP demo。Kiki — an open-source conversational trafficking assistant for Google Campaign Manager 360. 70 CM360 tools, write-safety confirmation, built-in QA, zero-credential MCP demo.

面向印度诊所的多语言医疗分诊助手—— LangChain + Groq Agent，基于 WHO 症状指南与 ICD-11 的 FAISS RAG，支持英语/印地语/卡纳达语的 Whisper 语音输入，FastAPI + PostgreSQL 后端。提供在线 demo。Multilingual medical triage assistant for Indian clinics — LangChain + Groq agent, FAISS RAG over WHO symptom guides and ICD-11, Whisper voice input in English/Hindi/Kannada, FastAPI + PostgreSQL backend. Live demo.

通过动手实践的 Jupyter notebook 学习 agentic AI 概念，涵盖 LangGraph、CrewAI 与 OpenAI Agents 工作流。Learn agentic AI concepts through hands-on Jupyter notebooks featuring LangGraph, CrewAI, and OpenAI Agents workflows.