仓库/Skill 库

在消费级 GPU 上自动化机器学习模型从论文阅读到实验执行与同行评审的完整研究工作流Automate the full research workflow from paper reading to experiment execution and peer-review for machine learning models on consumer GPUs.

一套面向 LLM-based RTL 验证开放研究问题的架构：分块多表征记忆（BM25 / HNSW / 结构化事实）、基于本地 7B LLM 的多 Agent 编排器，以及具备漂移保护的反馈驱动优化。An architecture answering open research questions on LLM-based RTL verification: chunked multi-representation memory (BM25 / HNSW / structured facts), a multi-agent orchestrator over a local 7B LLM, and feedback-driven refinement with drift protection.

AI 驱动的研究助手，自动检索、分析、总结、评审并格式化学术论文，生成带 APA 引用与 PDF 输出的结构化系统文献综述AI-powered research assistant that automatically searches, analyzes, summarizes, reviews, and formats academic research papers into structured systematic literature reviews with APA citations and PDF output.

Composio AI 产品运营案例研究：可复现的研究 Agent 与 100 个应用集成的就绪数据集。Composio AI Product Ops case study: reproducible research agent and 100-app integration readiness dataset.

一个结合 Web 搜索与 API 增强的 Agent，用于构建研究论文知识图谱，突破文献综述瓶颈。An agent that combines web search and API enrichment to build a knowledge graph of research papers for literature review bottlenecks

一个 Claude Managed Agent，可回答 SlideRule 研究问题并返回独立的 HTML 仪表板；每个用户需在其自己的 Anthropic 账号中部署专属 AgentA Claude Managed Agent that answers SlideRule research questions and returns a self-contained HTML dashboard. Each user provisions their own agent in their own Anthropic account.

使用工具研究问题并生成答案的 AI AgentAn AI agent that uses tools to research questions and generate answers.

本地优先求职工作站——抓取职位、筛选分流，通过自有 Codex CLI 定制简历与求职信，导出 LaTeX PDF，无需服务器端模型密钥。Local-first job-search workstation — fetch roles, triage, tailor CVs and cover letters through your own Codex CLI, export LaTeX PDFs. No server-held model keys.

Claude Code skill：检索近 30 天 OpenAlex、Semantic Scholar、PubMed、arXiv 与 HuggingFace Hub 的科学文献。Claude Code skill that searches the last 30 days of scientific literature across OpenAlex, Semantic Scholar, PubMed, arXiv, and HuggingFace Hub

通用深度研究 Agent 团队：13 Agent 流水线，提供包含系统综述与 Meta 分析在内的 8 种模式。Universal deep research agent team: 13-agent pipeline, 8 modes incl. systematic review and meta-analysis

面向苏格拉底式导师的 Hermes 人设：研究问题开发、文献综合与项目脚手架。属于 Bronx Science 社会科学研究课程的一部分。Hermes profile for Socratic mentorship: research question development, literature synthesis, and project scaffolding. Part of the Bronx Science Social Science Research curriculum.

从已发表图表到可复现研究工作流：借助 Codex 理解证据、重建方法并验证科学复现。From published figures to reproducible research workflows: understand evidence, reconstruct methods, and validate scientific reproduction with Codex.

面向研究的 Skill 定义精选集合，覆盖文献综述、证据综合与研究空白分析；汇总多个社区驱动的 Skill，便于在 Codex 或 Copilot 工作流中对比、审阅与按需安装A curated collection of research-focused skill definitions for literature review, evidence synthesis, and research-gap analysis. It brings together multiple community-driven skills so they can be compared, reviewed, and selectively installed for use in Codex or Copilot workflows.

自主研究 Agent：搜索本地文档、互联网及其内置知识，回答复杂研究问题An autonomous research agent that searches your documents, the web, and its own knowledge to answer complex research questions.

可复用的 Codex skills，涵盖文献综述、学术写作、数学推理、数值仿真以及可发表的图表。Reusable Codex skills for literature review, academic writing, mathematical reasoning, numerical simulation, and publication-ready figures.

基于 CrewAI、PostgreSQL 与科学 API 集成的多 Agent PRISMA 系统综述编排器Multi-agent PRISMA systematic review orchestrator with CrewAI, PostgreSQL, and scientific API integrations

独立的自主证据综合与系统综述工作台Standalone Autonomous Evidence Synthesis & Systematic Review Workbench

接收研究问题 → 检索网页 → 阅读关键页面 → 综合输出带引文与置信度分数的结构化报告。Takes a research question → searches the web → reads key pages → synthesizes a structured report with citations and confidence scores

由 AI 驱动的交易研究与市场情报平台，使用智能 AI agent、SQL、RAG、市场数据以及外部工具来分析研究问题并生成结构化的市场洞察。An AI-powered trading research and market intelligence platform that uses an intelligent AI agent, SQL, RAG, market data, and external tools to analyze research questions and generate structured market insights.

用于构建高质量医美研究问题的 Codex SkillCodex skill for developing strong medical aesthetic research questions

基于 CrewAI 的 Agent 系统，用于辅助研究者围绕特定高层级研究问题定义研究项目与假设。This is a CrewAI agent system set up to assist a researcher with defining research projects and hypotheses for a specific high-level research question.

多 Agent AI 研究助手——由多个专门化 Agent 协作，自动检索论文、总结发现、对比方法、生成文献综述并产出可演示的内容Multi-Agent AI Research Assistant — An AI-powered research automation system where multiple specialized agents collaborate to search research papers, summarize findings, compare methodologies, generate literature reviews, and create presentation-ready content.

使用多 Agent RAG 系统与混合索引、LangGraph 编排，自动获取 arXiv 研究论文并生成文献综述。Automate arXiv research paper retrieval and literature review generation using a multi-agent RAG system with hybrid indexing and LangGraph orchestration.

面向 Codex 的可溯源科学 PDF 阅读 skill，支持来源绑定的注释、细致的图表与公式讲解以及上下文证据问答Traceable scientific PDF reader skill for Codex with source-bound annotations, detailed figure and formula teaching, and contextual evidence questions.

基于 LangGraph、LangChain、Groq 和 Tavily 构建的多步骤研究 Agent。分解复杂的研究问题，执行迭代式网络研究，评估证据，并生成结构化的最终报告。Multi-Step Research Agent built with LangGraph, LangChain, Groq, and Tavily. Decomposes complex research questions, performs iterative web research, evaluates evidence, and generates a structured final report.

项目名称：用于自动化文献综述与研究空白发现的自适应 AI 研究智能平台。Project Title: Adaptive AI Research Intelligence Platform for Automated Literature Review and Research Gap Discovery

在 Claude 中强制以引用优先的研究流程，通过结构化五阶段工作流验证事实、识别不确定性并消除幻觉。Enforce citation-first research with Claude to verify facts, identify uncertainty, and eliminate hallucinations through a structured five-phase workflow.

培育持久化数字生命的开放协议：协议、课程、研究问题、治理An open protocol for raising persistent digital beings: protocol, curriculum, research questions, governance

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.

Autonomous AI Algorithm Discovery Laboratory：一个有边界、可复现的研究平台，在固定算力预算下提出、实现、测试、拒绝、改进并报告 AI 系统的候选改进方案。Autonomous AI Algorithm Discovery Laboratory: a bounded, reproducible research platform that proposes, implements, tests, rejects, refines, and reports candidate improvements to AI systems under a fixed compute budget.

六个 Claude skills，覆盖写作、配图、润色、投稿与修改 Q1 期刊文章的全流程——其中一个可端到端运行 systematic review。适用任何领域、任何研究设计；采用拦截式 gate 而非堆砌式 checklist。Six Claude skills for writing, illustrating, polishing, submitting, and revising Q1 journal articles — including one that runs a systematic review end to end. Any field, any research design; gates that stop rather than checklists that sprawl.

可复现的研究流水线：将基于 Agent 的模型产出转化为有证据支撑的 LLM 高管报告。A reproducible research pipeline for converting agent-based model artifacts into evidence-backed LLM executive reports.