仓库/Skill 库

CELLO protocol 的官方客户端——提供 MCP server 及面向 OpenClaw、NanoClaw、IronClaw、ZeroClaw 等 agent 变体的原生适配器。The official client for the CELLO protocol — MCP server and native adapters for OpenClaw, NanoClaw, IronClaw, ZeroClaw, and other agent variants

基于多 Agent LLM 工作流的智能 AI 学术研究助手，可自动化完成学术论文发现、验证、文献分析、对比矩阵（含表格）、RAG 驱动的研究对话，并产出可直接用于稿件的文献综述An agentic AI academic research assistant that automates academic paper discovery, validation, literature analysis, comparison matrices with table, RAG-powered research chat, and manuscript-ready literature reviews using multi-agent LLM workflows.

基于 LangGraph、LangChain、Groq、ChromaDB 与 Streamlit 构建的多 Agent AI 研究助手，通过联网检索、获取 arXiv 论文、利用 RAG 索引 PDF 并生成有研究依据的回答，实现文献综述自动化Multi-agent AI Research Assistant built with LangGraph, LangChain, Groq, ChromaDB, and Streamlit. Automates literature review by searching the web, retrieving arXiv papers, indexing PDFs with RAG, and generating research-backed answers.

ResearchOS 是一款 MVP 级自主研究平台：输入研究问题，AI Agent 自动发现来源、验证证据、提取关键信息、交叉核对结论，并产出结构化的最终报告 — 全程实时可视化ResearchOS is an MVP autonomous research platform. Enter a research question; AI agents discover sources, verify evidence, extract key information, cross-check findings, and produce a structured final report — all visualized in real-time.

基于 Agno Agent 框架、Together AI 的 Qwen 模型与 Composio 工具构建的高级 AI 研究 Agent。该 Agent 通过生成研究问题、调用多个搜索引擎寻找答案，并结合 Google Docs 集成整理专业报告，帮助用户对任意主题开展全面研究An advanced AI research agent built using the Agno Agent framework, Together AI's Qwen model, and Composio tools. This agent helps users conduct comprehensive research on any topic by generating research questions, finding answers through multiple search engines, and compiling professional reports with Google Docs integration.

基于 n8n、Groq（Llama 模型）、Node.js、React 和 PostgreSQL 构建的多 Agent AI 研究流水线。用户提交研究问题后，由规划 Agent 拆解，由专业的研究/技术/成本 Agent 并行调查，由事实核查 Agent 验证，最终合成为带来源的结构化报告。A multi-agent AI research pipeline built with n8n, Groq (Llama models), Node.js, React, and PostgreSQL. A user submits a research question, which is broken down by a planning agent, investigated in parallel by specialized research/technical/cost agents, verified by a fact-checking agent, and synthesized into a structured report with sources.

使用支持 macOS 和 Windows 平台的开源工具高效构建与定制机器学习模型Build and customize machine learning models efficiently with an open-source tool that supports macOS and Windows platforms.

面向长生命周期 Agent 与有状态负载的会话中心计算：暂停即保留记忆，按需恢复。Session-centric compute for long-lived agents and stateful workloads. Pause with memory intact; resume on demand.

面向有据可循的 Agent 工作流的 TypeScript 参考实现，支持混合检索、人工审核与可回放的审计追踪。TypeScript reference implementation for grounded agent workflows with hybrid retrieval, human review, and replayable audit trails.

可验证混合 AI 执行的合约层 —— 研究预标准 0.36.0。A contract layer for verifiable hybrid AI execution — research pre-standard 0.36.0

面向 GitHub Copilot 的 Agentic 开发生命周期——计划、工作、证据与教训全部沉淀在 GitHub 上，而非聊天窗口中。Agentic development lifecycle for GitHub Copilot — the plan, the work, the evidence, and the lessons all live on GitHub, not in chat windows.

开源、本地优先的足球数据、分析与内容工作流。Open-source, local-first football data, analysis, and content workflow.

为 LLM Agent 提供探索与调用任意 OpenAPI/Swagger/Postman API 能力的 MCP server，支持搜索、检查与调用。MCP server that gives LLM agents superpowers to explore and call any OpenAPI/Swagger/Postman API — search, inspect, invoke.

驾驶 Claude Code Agent 的驾驶舱——打磨「指示→等待→审查→再指示」循环的桌面 Cockpit（非官方）。A cockpit for piloting Claude Code agents — 指示→待機→レビュー→再指示のループを磨くデスクトップコックピット (unofficial)

MAI-Code 模型的官方仓库，用于发布 MAI-Code 模型版本与更新，并通过 issue 与反馈与开发者社区互动。Official repo for MAI-Code models, where we publish MAI-Code model releases and updates and engage with developer community on issues and feedback.

Microwave Method：agent 工厂 + 受治理的 LLM wiki。每个 agent 一次性重型处理，每个 feature 轻量处理。上下文只"烹饪"一次，按缓存价"回热"。Microwave Method: agent factory + governed LLM wiki. Heavy pass once per agent, light pass per feature. Context is cooked once, reheated at cache price.

Claude Code 动态工作流的指挥中心 — 实时 agent 可观测性、跨项目运行历史、保存与重放。零依赖的 Claude Code 插件。Mission control for Claude Code dynamic workflows — live agent observability, cross-project run history, save & re-run. A zero-dependency Claude Code plugin.

Virastar — 面向生产环境的 Agent Skill，用于波斯语学术写作、校对与论文编辑，支持波斯语正字法、学术风格、术语一致性、XePersian/LaTeX 以及证据感知科学编辑Virastar — A production-oriented agent skill for Persian academic writing, proofreading, and thesis editing, with support for Persian orthography, academic style, terminology consistency, XePersian/LaTeX, and evidence-aware scientific editing.

Portable Agent Plugins 1.0 skill，支持 STAR 简历撰写、指标推断、XeLaTeX/PDF 排版、视觉 QA 与面试准备。Portable Agent Plugins 1.0 skill for STAR resume writing, metric inference, XeLaTeX/PDF typesetting, visual QA, and interview preparation.

软件开发software development

一个用于自动化文献综述、论文摘要和引文映射的多 Agent AI 系统。A multi-agent AI system for automated literature review ,paper summarization, and citation mapping.

涵盖 RAG、AI Agent、评估与商业智能的实战 AI 应用项目集。Practical AI application projects across RAG, AI agents, evaluation, and business intelligence.

面向探索的 Agentic 话语——自主 Claude 专家，研究、辩论、互评并综合回答研究问题。Agentic discourse for discovery — autonomous Claude specialists that research, debate, cross-rate, and synthesize answers to research questions

探索由 19,846 篇量子计算论文组成的 AI 原生知识库，面向搜索、趋势分析与 LLM 友好的研究工作流Explore an AI-native knowledge base of 19,846 quantum computing papers, built for search, trend analysis, and LLM-ready research workflows

🐺 创新型 LLM 驱动 12 人狼人杀模拟，针对直播优化并支持 OBS 无缝集成🐺 Experience an innovative, LLM-driven Werewolf simulation for 12 players, optimized for live streaming and designed for seamless integration with OBS.

面向真实工程师的图工程（Graph-Engineering）：图定义工作流，工作流构建图。基于 mattpocock/skills。Graph-Engineering for Real Engineers: Graphs define workflows; workflows build graphs. Based on mattpocock/skills.

基于 n8n 构建的 AI agent，用于阅读、分类和回复询价邮件，并与 Google Sheets 和 Gmail 集成。AI agent created in n8n for reading, sorting, and replying to quote emails, integrated with Google Sheets and Gmail.

促成深度协作讨论，让 AI Agent 与人类共同探索跨学科复杂研究问题。Facilitate in-depth collaborative discussions where AI agents and humans explore complex research questions across disciplines.

可移植的 Cursor/Claude agent skills，覆盖 GitLab MR 评审、事故 RCA、Kubernetes 资源调整、团队归属与组织汇总，支持注册表驱动安装、行为评估与组合契约Portable Cursor/Claude agent skills for GitLab MR review, incident RCA, Kubernetes rightsizing, squad ownership, and org rollups — registry-driven install, behavioral evals, composition contracts.

Pinakes —— 可移植、Agent 优先的知识库。一个目录即一个 KB。Pinakes — a portable, agent-first knowledge base. One directory = one KB.

为 AI agent 提供持久且安全约束的浏览器控制——使用语义化 CLI 替代 Playwright 脚本或屏幕坐标。通过统一接口，背后使用 macOS WKWebView 与 Linux ChromiumPersistent, safety-enforced browser control for AI agents — semantic CLI instead of Playwright scripts or screen coordinates. macOS WKWebView + Linux Chromium behind one contract.

GeneTech 14 — 多领域实体集合（6700+ 实体，覆盖 14 个领域）GeneTech 14????? - ?????????? (6700+ entities, 14 domains)

一种经过证据校准的 Codex skill，用于在不夸大主张的前提下强化学术写作。An evidence-calibrated Codex skill for strengthening academic writing without overstating claims.

2026 自主 AI Agent 平台 🚀——基于 MCP 与 DAG 的多 Agent SaaSAutonomous AI Agent Platform 2026 🚀 - Multi-Agent SaaS with MCP & DAG

一个工作流框架，适配所有编码 agent。通过与工具无关的核心，将你的 AI 编码规范安装到 Claude Code、Cursor、GitHub Copilot、Gemini CLI、Codex 和 Windsurf。Apache 2.0。One workflow framework, every coding agent. Install your AI-coding discipline into Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, and Windsurf from one tool-agnostic core. Apache 2.0.

40 项检查的设计契约验证引擎 — 为任意 URL 评分，把控 CI，强制执行 DTCG 2025.10 tokens。MCP server + GitHub Action + stylelint plugin + CLI。40-check design contract verification engine — score any URL, gate your CI, enforce DTCG 2025.10 tokens. MCP server + GitHub Action + stylelint plugin + CLI.