仓库/Skill 库
336 个 · Agent 智能体 · 学术写作
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 🎙️
证据优先的 AI 科研平台,支持文献综述、科学写作、配图生成与可发表论文产出Evidence-first AI research platform for literature review, scientific writing, figure generation, and publication-ready papers.
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.
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
用于生物学研究问题的科学研究 Agent。Scientific Research Agent for biological research questions
在 VS Code 中构建 AI 辅助的科研工作流:文献综述、引用追踪与可发表级导出Build AI-assisted scientific research in VS Code with literature review, citation tracking, and publication-ready export
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.
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.
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.
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.
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
GreenQuill - 学术写作与碳研究咨询。GreenQuill - Academic Writing & Carbon Research Consultancy
支持自主实验、文献发现、循证科学写作与 AI 同行评审的 Agentic 研究流水线。An agentic research pipeline for autonomous experimentation, literature discovery, evidence-grounded scientific writing, and AI peer review.
CUMCM 数学建模 AI skill 包:选题、模型选择、论文写作、陷阱清单。3 年竞赛经验CUMCM math modeling AI skill pack: problem selection, model choice, paper writing, trap list. 3 years of contest experience
AI 研究助手:覆盖从研究问题到文献综合、研究空白识别、假设生成与实验设计。AI research assistant: research question to literature synthesis, gap detection, hypothesis generation, and experiment design.
最小化、可恢复的自主研究工厂,覆盖数学、材料科学、AI/ML 与科学写作领域。Minimal recoverable autonomous research factory for mathematics, materials science, AI/ML, and scientific writing
Systematic Review Manager。Systematic Review Manager
多源科学与文献及数据集搜索引擎,作为 MCP server 为 AI Agent 提供服务。Multi-source scientific literature and dataset search engine, built as an MCP server for AI agents.
Claude Code 插件:面向 2026 年学术写作工作流的 42 个 Scholar AI 命令Claude Code Plugin: 42 Scholar AI Commands for 2026 Academic Writing Workflows
从研究问题到论文——全自动化。基于多框架的机器学习研究流水线(CrewAI · AutoGen · LangGraph),支持流式 UI 与人在环控制。From a research question to a paper — automatically. Multi-framework ML research pipeline (CrewAI · AutoGen · LangGraph) with streaming UI and human-in-the-loop control.
一个学科无关的 Agent Skills 套件,用于文献综述、研究设计、数据分析、论文撰写、期刊投稿和研究诚信审计。A discipline-agnostic Agent Skills suite for literature review, research design, data analysis, thesis writing, journal submission, and research-integrity auditing.
面向生物医学系统综述的 Claude Code skills 协议:MCP 锚定引用、实证完整性、PRISMA/PROSPERO 系统综述、新颖性核查、Zotero 操作、并行审稿手稿修订,并提供面向健康科学研究策划的生信、临床与科学传播 skill 集合。Claude Code skills protocol for biomedical systematic review: MCP-grounded citations, empirical integrity, PRISMA/PROSPERO systematic reviews, novelty checks, Zotero operations, and parallel-critic manuscript revision — plus a curated set of bioinformatics, clinical, and scientific-communication skills for health-science research.
采用可复现研究方法,开发面向西部地震区的 AI 辅助地震预警系统。Develop AI-assisted earthquake early warning systems for Western seismic regions using reproducible research methods.