仓库/Skill 库

关于 AI Agent 系统与编排的定向研究与文献综述的最终交付成果Final deliverables for directed studies and literature review on AI Agent Systems and Orchestration

将 OpenCode 转变为可复现的研究工具Turn OpenCode into a reproducible research instrument.

生产级 multi-agent 系统：接收研究问题、制定调查方案、从实时网络和私有文档语料中收集证据、对自身发现进行批判与事实核查，最终输出完整引用的 Markdown 报告。A production-grade multi-agent system that accepts a research question, plans an investigation, gathers evidence from the live web and a private document corpus, critiques and fact-checks its own findings, and delivers a fully cited Markdown report.

一个研究问题，一套跨 BV-BRC、BRC Analytics、PDN、NIAID Data Ecosystem、NCBI 资源及其他参与仓库的协同计划。One research question, one coordinated plan spanning BV-BRC, BRC Analytics, PDN, the NIAID Data Ecosystem, NCBI resources, and other participating repositories.

AI agent 辅助学术论文写作。An AI agent supports writing academic papers

Yaroslav Vasylenko —— AI 系统、验证工程、可复现研究与 agentic workflows。Yaroslav Vasylenko — AI systems, verification engineering, reproducible research, and agentic workflows.

lq 是面向 AI Agent 的独立 CLI 工具，用于解析、查询与修改 LyX 文档lq is a standalone CLI tool designed for AI agent to parse, query, and mutate LyX documents.

基于证据的论文检索与推荐 Agent，面向复杂研究问题。Evidence-grounded paper search and recommendation agent for complex research questions.

基于多 Agent LLM 工作流的智能 AI 学术研究助手，可自动化完成学术论文发现、验证、文献分析、对比矩阵（含表格）、RAG 驱动的研究对话，并产出可直接用于稿件的文献综述An agentic AI academic research assistant that automates academic paper discovery, validation, literature analysis, comparison matrices with table, RAG-powered research chat, and manuscript-ready literature reviews using multi-agent LLM workflows.

基于 LangGraph、LangChain、Groq、ChromaDB 与 Streamlit 构建的多 Agent AI 研究助手，通过联网检索、获取 arXiv 论文、利用 RAG 索引 PDF 并生成有研究依据的回答，实现文献综述自动化Multi-agent AI Research Assistant built with LangGraph, LangChain, Groq, ChromaDB, and Streamlit. Automates literature review by searching the web, retrieving arXiv papers, indexing PDFs with RAG, and generating research-backed answers.

ResearchOS 是一款 MVP 级自主研究平台：输入研究问题，AI Agent 自动发现来源、验证证据、提取关键信息、交叉核对结论，并产出结构化的最终报告 — 全程实时可视化ResearchOS is an MVP autonomous research platform. Enter a research question; AI agents discover sources, verify evidence, extract key information, cross-check findings, and produce a structured final report — all visualized in real-time.

基于 Agno Agent 框架、Together AI 的 Qwen 模型与 Composio 工具构建的高级 AI 研究 Agent。该 Agent 通过生成研究问题、调用多个搜索引擎寻找答案，并结合 Google Docs 集成整理专业报告，帮助用户对任意主题开展全面研究An advanced AI research agent built using the Agno Agent framework, Together AI's Qwen model, and Composio tools. This agent helps users conduct comprehensive research on any topic by generating research questions, finding answers through multiple search engines, and compiling professional reports with Google Docs integration.

基于 n8n、Groq（Llama 模型）、Node.js、React 和 PostgreSQL 构建的多 Agent AI 研究流水线。用户提交研究问题后，由规划 Agent 拆解，由专业的研究/技术/成本 Agent 并行调查，由事实核查 Agent 验证，最终合成为带来源的结构化报告。A multi-agent AI research pipeline built with n8n, Groq (Llama models), Node.js, React, and PostgreSQL. A user submits a research question, which is broken down by a planning agent, investigated in parallel by specialized research/technical/cost agents, verified by a fact-checking agent, and synthesized into a structured report with sources.

面向 Microsoft Word 的 AI 驱动学术校对工具，支持修订痕迹、审稿意见与写作润色，兼容 macOS 与 Windows。AI-powered academic proofreading for Microsoft Word — tracked changes, reviewer comments, and writing polish on macOS & Windows.

Virastar — 面向生产环境的 Agent Skill，用于波斯语学术写作、校对与论文编辑，支持波斯语正字法、学术风格、术语一致性、XePersian/LaTeX 以及证据感知科学编辑Virastar — A production-oriented agent skill for Persian academic writing, proofreading, and thesis editing, with support for Persian orthography, academic style, terminology consistency, XePersian/LaTeX, and evidence-aware scientific editing.

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.

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

用于追踪 SRH 上 claude 编码过程的仓库。Repository for tracking of claude coding on SRH

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.

面向音乐学与音乐教育学术写作的 Skills 工具包。Skills package for musicology and music education academic writing

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.

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

用于规范化文献综述循环工作流的本地 Codex SkillLocal Codex skill for a disciplined literature-review loop workflow.

一种经过证据校准的 Codex skill，用于在不夸大主张的前提下强化学术写作。An evidence-calibrated Codex skill for strengthening academic writing without overstating claims.

模块化的学术写作 skills 套件，面向 AI 辅助研究，覆盖摘要、引言、相关工作、方法、实验与结论，具备证据感知推理、引用核查、术语一致性以及 clean/audit 模式。A modular suite of academic writing skills for AI-assisted research, covering Abstract, Introduction, Related Work, Method, Experiments, and Conclusion with evidence-aware reasoning, citation checks, terminology consistency, and clean/audit modes.

基于 Zotero 的 Claude Code Skills 研究：PDF 高亮挖掘、主题编码、稿件评审与系统综述审计Claude Code skills for Zotero-based research: PDF highlight mining, thematic coding, draft review, and systematic review auditing

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.

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.

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