仓库/Skill 库

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.

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.

由 Claude 与 Gemini 驱动的学术写作工作空间。An Academic writing workspace powered by Claude and Gemini

个人知识图谱：抽取、验证阶梯、检索与衰减，通过 MCP 服务任意客户端A personal knowledge graph: extraction, a verification ladder, retrieval, and decay — served over MCP to any client

基于 MCP，为 AI coding agent 提供 Local-first 的记忆与会话连续性。Rust 实现，MIT 许可，无遥测。Local-first memory and session continuity for AI coding agents, over MCP. Rust, MIT, no telemetry.

Give pure-text LLM agents eyes: zero-dependency image understanding, OCR & image Q&A via MCP server + standalone Python script. 给纯文本 AI Agent 的图片理解能力(看图/OCR/图片问答)。

用于文献与系统综述的 AI agent 流水线，对齐 PRISMA 2020、Cochrane 与 GRADE。默认无需密钥（OpenAlex/CrossRef + 标准库）；在 LLM 薄弱处设人工把关。An AI-agent pipeline for literature and systematic reviews, aligned with PRISMA 2020, Cochrane, and GRADE. Keyless by default (OpenAlex/CrossRef + stdlib); human-gated where LLMs are weak.

Linux 上的便携 GrokBuild overlay：18 个 skill、路由、MCP、hooks、Refero/Motionsites 设计库，以及可选的本地 Design Intelligence 目录。当前版本：v1.3.1。Portable GrokBuild overlay for Linux: 18 skills, routing, MCP, hooks, Refero/Motionsites design bank, and optional local Design Intelligence catalog. Current: v1.3.1.

Measured by Nova：本地空间重建 MCP server，用于构建物理上精确的 Blender 模型。Measured by Nova: local spatial reconstruction MCP server for physically accurate Blender models.

由机器强制执行的 AI Agent 前端 UI/UX Skill 包。注册表 + 懒加载：2,018 token 的路由在每次请求中从 334k token 深度内容中按需加载一个 Skill。包含 11 个发布阻塞闸门，其中一项用于校验 Skill 包自身文档与参考资料是否遵循其规则。Machine-enforced frontend UI/UX skill pack for AI agents. Registry + lazy loading: a 2,018-token router loads one skill per request out of 334k tokens of depth. 11 release-blocking gates, including one that checks the pack's own docs and reference material against its own rules.

Kosli API 的 MCP server——由目录驱动，兼容 Claude Code、Claude Desktop 及任意 MCP 客户端。MCP server for the Kosli API - catalog-driven, works with Claude Code, Claude Desktop, and any MCP client.

对接日本 gBizINFO 企业信息 REST API v2 的 MCP serverMCP server for Japan’s gBizINFO corporate information REST API v2.

用于搜索与检索日本官方 e-Stat 政府统计数据的 MCP serverMCP server for searching and retrieving Japan’s official e-Stat government statistics.

多 Agent 开发的可调度性编译器 —— 观察真实代码边界、重构冲突接缝、重新编译计划以实现并行执行。Schedulability compiler for multi-agent development — observe real code boundaries, refactor the conflicting seam, recompile the plan for parallel execution

一款 Claude Code 插件：统一文风、文档骨架意图系统、只读审阅 Agent，以及面向长篇学术写作的修订捕获。A Claude Code plugin: house prose style, a document-spine intent system, read-only review agents, and correction capture for long-form academic writing.

一个使用 OpenAI function calling 和 DuckDuckGo 搜索的网络搜索与研究问题回答 AI Agent。An AI agent that searches the web and answers research questions using OpenAI's function calling and DuckDuckGo search.

使用自然语言查询分析并比较 700+ DeFi 金库的风险评分，无需 API key 或安装Analyze and compare risk scores of 700+ DeFi vaults using natural language queries without requiring API keys or installations.

AI 产品运营的可复现研究流水线与案例研究，包含一个自动验证产品证据声明的 Agent。"A reproducible research pipeline and case study for AI Product Operations, featuring an automated agent that verifies product evidence claims."

面向证据治理的化学文献综述 Agent skill。Agent skill for evidence-governed chemical literature reviews

使用并行 sub-agent 将 arXiv 论文翻译为图书级质量的 PDF。直接读取 LaTeX 源码，公式与论文原有编号得以完整保留。Translate arXiv papers into book-quality PDFs with parallel sub-agents. Reads the LaTeX source, so equations and the paper's own numbering survive.

基于 Neo4j 知识图谱回答生物医学研究问题的多 Agent 系统——采用 LangGraph 编排、图+向量混合 RAG、只读 Cypher 护栏、Docker 隔离的代码执行与人在环上审核。Multi-agent system answering biomedical research questions over a Neo4j knowledge graph — LangGraph orchestration, hybrid graph+vector RAG, read-only Cypher guardrails, Docker-isolated code execution and human-in-the-loop review

使用部署在 streamlit 上的 MCP server 构建的旅行 Agent。A Travel Agent Built using a MCP server which is deployed in streamlit

John Harper 的学术写作。Academic Writing of John Harper

可执行真实操作的 AI agent 层级——shell、GitHub、邮件、采购——以代码编写（非配置）的审批底线（Latch）作为门槛。零依赖。A hierarchy of AI agents that take real actions — shell, GitHub, email, purchases — behind an approval floor written in code, not configuration (Latch). Zero dependencies.

面向天线与相控阵 PCB 的设计编译器：输入 YAML 规格，输出综合布局、KiCad DRC 校验与 openEMS 全波验证。核心为确定性 Python 实现，可通过 MCP 被 Agent 调用。Design compiler for antenna and phased-array PCBs: YAML spec in, synthesized layout, KiCad DRC, and openEMS full-wave verification out. Deterministic Python core, agent-ready via MCP.

可移植的学术写作技能与跨 Agent 工作流系统。可见性：私有Portable academic writing skills and cross-agent workflow system Visibility：Private

一个 multi-agent 流水线，将研究问题转换为可直接播放的播客——生成双主持人 MP3 以及 AI 生成的单集封面图 🎙️A multi-agent pipeline that turns a research question into a ready-to-play podcast — a two-host MP3 plus AI-generated episode cover art 🎙️

自托管的个人上下文服务器 — 你与 AI Agent 共享统一的知识与信任边界：知识库、检索、凭证与 Agent 记忆，通过 MCP 挂载Self-hosted personal context server — one knowledge and trust boundary shared by you and your AI agents: knowledge base, retrieval, credentials, and agent memory, mounted over MCP

面向 ChatGPT、Codex、Claude 与 MCP 客户端的 Vucar 官方公开车辆智能插件Official public Vucar vehicle-intelligence plugins for ChatGPT, Codex, Claude, and MCP clients.

为 AI agent 提供持久化、结构化记忆。基于 Go 的本地优先 MCP server：语义召回、去重、provenance、冲突解决。单一静态二进制，零依赖。Persistent, structured memory for AI agents. Local-first MCP server in Go: semantic recall, dedupe, provenance, conflict resolution. One static binary, zero dependencies.

多租户 SaaS 自动化平台，具备事件驱动工作流、AI 驱动的文档处理与实时集成。Multi-tenant SaaS automation platform with event-driven workflows, AI-powered document processing, and real-time integrations.

SAM 的纯文档概述。SAM 是一个由 9 个 agent 组成的 LLM pipeline，用于自动化系统综述与 meta 分析。实现位于私有仓库。Documentation-only overview of SAM, a 9-agent LLM pipeline that automates systematic reviews and meta-analyses. Implementation lives in a private repository.