仓库/Skill 库

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.

对 LLM 文献筛选方法的受控双研究对比——RAG 与 zero-shot、自适应与被动选文——并以真实系统综述的真值标注进行评估。Controlled two-study comparison of LLM-based literature screening methods — RAG vs. zero-shot, and adaptive vs. passive paper selection — evaluated against real systematic review ground truth.

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

将 Claude 连接至 Overleaf 的 MCP server，可在免费层读取、编辑、编译与恢复 LaTeX 项目。MCP server that connects Claude to Overleaf. Read, edit, compile and restore LaTeX projects on the free tier.

面向 Claude 的专业写作工坊（Cowork 与 Claude Code）：26 种源文体，纯 Python 确定性护栏，严格内部风格规范，输出符合规范的 Word、PDF、HTML 与 LaTeX。支持法语。Atelier d'ecriture professionnel pour Claude (Cowork et Claude Code) : 26 genres sources, garde-fous deterministes en Python pur, style maison strict, sorties Word, PDF, HTML et LaTeX a la charte. En francais.

BYOK AI 科研工作台——提供科学写作、可编辑图表、PPT 生成与参考文献管理，支持 12+ 模型提供商。BYOK AI research workbench — scientific writing, editable figures, PPT generation, and reference management. Supports 12+ model providers.

🐺 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.

本地化、可复现的 Python DNA/RNA 序列工具，支持可选 MCP 访问。Local, reproducible DNA and RNA sequence utilities for Python, with optional MCP access.

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.

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

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