仓库/Skill 库

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

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

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 🎙️

Claude Code、OpenCode、Cursor 与 Vercel skills CLI 可复用的 Agent skill。Reusable agent skills for Claude Code, OpenCode, Cursor, and the Vercel skills CLI.

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.

萨里大学 2026 年 9 月理学硕士论文《PRISM：Agentic AI 闭环科学写作》的日志、prompt 与支撑材料追踪。OpenAI PRISM 闭环工作流，加入对抗性红队/蓝队同行评审层，由非领域操作员应用于三个代谢组学数据集。Trace logs, prompts and supporting materials for the MSc dissertation "PRISM: Agentic AI Closed-Loop Scientific Writing", University of Surrey, September 2026. OpenAI PRISM closed-loop workflow with adversarial red team / blue team peer review layer, applied to three metabolomics datasets by a non-domain operator.

Conversational academic writing Copilot: LangGraph ReAct agent with citation tracing, faithfulness reviewer, RAG & Reflexion LaTeX self-repair ｜ 对话式学术写作 Copilot：LangGraph ReAct 智能体，引用溯源 + 忠实度审校 + RAG 检索 + Reflexion 编译自修复，端到端产出真实 PDF

系统综述与 meta-analyses 的 AI 辅助筛选与数据提取。model-agnostic prompts、带 PRISMA reason codes 的双轮筛选、逐字段置信度评分，输出兼容 Rayyan/RevMan。AI-assisted screening and data extraction for systematic reviews & meta-analyses. Model-agnostic prompts, dual-pass screening with PRISMA reason codes, per-field confidence scores, Rayyan/RevMan-ready outputs.

用于生物学研究问题的科学研究 Agent。Scientific Research Agent for biological research questions

基于 AI 的文献综述 agentAI-powered literature review agent

证据合成自动化框架——PRISMA 流水线：检索、去重、AI 筛选、Meta 分析（D-L 随机效应）、PRISMA 流程图与森林图。Evidence Synthesis Automation Framework — PRISMA pipeline: search, dedup, AI screening, meta-analysis (D-L random effects), PRISMA/forest plots.

Episteme：可复现、无外部依赖的系统综述与 Meta 分析引擎（PubMed → PRISMA → Meta 分析 → SVG 图表，一键完成）。无需付费 API，无需 numpy，无需 R。Episteme: reproducible, dependency-free systematic-review & meta-analysis engine (PubMed -> PRISMA -> meta-analysis -> SVG figures in one command). No paid APIs, no numpy, no R.

对我的第一个 agentic 的测试Test of my first agentic

基于 LangGraph 的 AI Agent，分析上市公司季度财报，利用 SEC 文件与结构化财务数据，帮助用户回答限定范围内的投研问题。A LangGraph-based AI agent that analyzes public company quarterly earnings reports and helps users answer a limited set of investment-research questions using SEC filings and structured financial data.

隐私优先的本地 Web 研究 MCP server，集成 SearXNG、隔离 Tor 路径、证据抽取、排序与精确引用。Privacy-first local web research MCP server with SearXNG, isolated Tor paths, evidence extraction, ranking, and exact citations.

一个真实场景下的多能力 AI Agent，可接收用户的研究问题，自主决策所需信息，调用工具/MCP，分析信息并产出结构化报告。A real world multi capability AI agent that can take a user's research question, decide what it needs, use tools/MCP, analyze information, and produce a structured report.

由 5 个 AI Agent 协同的 pipeline，自动回答研究问题。可类比为聘请 5 位专家：规划员、资料员、记录员、事实核查员与撰稿人。A pipeline of 5 AI agents that work together to answer a research question autonomously. Think of it like hiring 5 specialists: a planner, a librarian, a note-taker, a fact-checker, and a writer.

面向 AI Agent 的学术研究情报——论文检索、科学文献、引用分析、arXiv、作者指标、前沿研究与语义相关工作（pgvector）。支持 MCP + x402。Academic research intelligence for AI agents — paper search, scientific literature, citation analysis, arXiv, author metrics, trending research & semantic related-work (pgvector). MCP + x402.

一个面向优化与控制领域论文的、基于语料库驱动的学术写作润色 skill。A corpus-driven academic writing polishing skill for optimization and control papers.

Fiberarticle 是一个 Agentic AI，可自主开展研究、执行文献综述并撰写可发表级的论文Fiberarticle is an Agentic AI that researches, performs literature reviews, and writes publication-ready article papers.

文献综述论文筛选器 —— 本地 Agent Skill（搜索、证据打包、验证、Excel 渲染）。云端模板为专有。Literature Review Paper Screener - local agent skill (search, evidence packaging, validation, Excel rendering). Cloud template is proprietary.

为更好的 AI 研究问题梳理清晰的来源、主张、变更与权衡路径Calm source, claim, change, and tradeoff paths for better AI research questions

HCIFlow 是一个 HCI 研究平台，将以单一流水线替代 Gorilla/Qualtrics/Prolific/SPSS 工具链：研究设计、协作、数据采集以及 AI 生成的结果与统计分析（卡方、Mann-Whitney U、Kruskal-Wallis）。基于 Next.js 14、Tailwind、Supabase 和 Claude API 构建。HCIFlow is an HCI research platform that will replaces the Gorilla/Qualtrics/Prolific/SPSS toolchain with a single pipeline: study design, collaboration, data collection, and AI-generated result and statistical analysis (chi-square, Mann-Whitney U, Kruskal-Wallis). Built with Next.js 14, Tailwind, Supabase, and the Claude API.

基于 Agentic LLM 的系统综述数据提取。Agentic LLM-assisted data extraction for systematic reviews

ScientiaPilot 公开展示——从研究问题到发表全流程的科研出版操作系统。Public showcase for ScientiaPilot — a research publication operating system from research question to publication.

AI 辅助的科研工具，用于文献探索、证据抽取与研究问题结构化。An AI-assisted scientific research tool for exploring literature, extracting evidence, and structuring research questions.

一个端到端的研究智能系统：摄取学术论文并进行语义理解，映射研究领域的关系与演进，探测尚未探索的研究空白，并使用多 Agent AI 流水线生成文献综述与回答研究问题——全部以纯 Python 构建。An end-to-end research intelligence system that ingests academic papers, understands them semantically, maps how research areas relate and evolve, detects unexplored research gaps, and uses a multi-agent AI pipeline to generate literature reviews and answer research questions — all built in pure Python.

一款简易的 GUI 工具，利用 AI 从 PDF 中系统性地提取数据，以辅助荟萃分析与系统综述。A simple GUI tool to systematically extract data from PDFs to assist in meta-analysis and systematic reviews using AI

面向 Text-to-Motion、Physics RL 与 Pose Estimation 文献综述的自动化多 Agent 研究框架，抓取 ArXiv 论文并去重，通过 LLM 子 Agent 抽取结构化指标，自动下载 PDF 以供 RAG/NotebookLM 摄取。Automated multi-agent research framework for academic literature reviews on Text-to-Motion, Physics RL, and Pose Estimation. Fetches ArXiv papers, deduplicates, extracts structured metrics via LLM sub-agents, and auto-downloads PDFs for RAG/NotebookLM ingestion.

GreenQuill - 学术写作与碳研究咨询。GreenQuill - Academic Writing & Carbon Research Consultancy