以证据为先的 agent skill,基于真实研究数据生成可审计的统计分析、诊断、发表级图表、表格与教学报告。Evidence-first agent skill for auditable statistical analysis, diagnostics, publication figures, tables, and teaching reports from real research data.
仓库/Skill 库
429 个 · Agent 智能体 · 学术写作
Noetrium:面向 AI agent 的可复现研究基础设施 —— 涵盖实验、模型、环境、证据、恢复、评估与验证。Noetrium: Reproducible Research Infrastructure for AI Agents - experiments, models, environments, evidence, recovery, evaluation, and verification.
面向 DeepSeek Harness agent 的学术写作工具包:论文大纲、标题/摘要模板、GB/T 7714 / APA / MLA 引用、措辞质检以及投稿前清单。Academic writing toolkit for DeepSeek Harness agents: paper outlines, title/abstract skeletons, GB/T 7714 / APA / MLA citations, phrasing QA, and a pre-submission checklist
自主 AI 平台,提供端到端的学术研究辅助——从论文发现到生成结构化文献综述,以及识别研究空白。An autonomous AI platform that performs end-to-end academic research assistance — from discovering papers to generating structured literature reviews and identifying research gaps.
🛠️ 使用 Sherlock AI Plugin 将研究论文转化为可执行代码,是你高效进行文献综述与实现工作的必备工具。🛠️ Transform research papers into executable code with Sherlock AI Plugin, your essential tool for efficient literature review and implementation.
通过用于获取 arXiv 论文、提取技术细节与跟踪引用的研究 Skill,为 Agent 工作流自动化文献综述。Automate literature reviews with research skills for fetching arXiv papers, extracting technical details, and tracking citations for agent workflows.
自动化科研 AI 系统的精选枢纽:覆盖文献综述、调研综合、实验设计与执行、论文写作、AI 科学家与自主研究 AgentA curated hub for AI systems that automate scientific research: literature review, survey synthesis, experiment design and execution, paper writing, AI scientists, and autonomous research agents.
AIWritePaper|AI学术写作全流程:跨Agent的论文方向路由、文献核验、学术配图、DOCX/PDF与分级验收Skill。
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.
🔬 管理专业 Agent 集群开展综合性文献综述的专家系统,基于用户自定义标准,利用 PubMed 数据库收集、整理并综合科研文献。🔬 An expert system to manage a swarm of specialized agents to conduct comprehensive literature reviews using the PubMed database, collecting, curating, and synthesizing scientific research based on user-defined criteria.
基于 Google Gemma 4 31B 的多 Agent 系统,用于辅助学术文献综述A multi agent system to aid academic literature review powered with Google's Gemma 4 31B
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 Code 的 IMRAD 学术写作全生命周期插件。持久化的 .writing/ 状态、主张优先验证、Zotero 双源真相、由子 Agent 驱动的撰稿流程。IMRAD academic-writing lifecycle plugin for Claude Code. Persistent .writing/ state, claim-first verification, Zotero dual-source-of-truth, subagent-driven drafting.
Noetrium:面向 AI Agent 的可复现研究基础设施——实验、模型、环境、证据、恢复、评估与验证。Noetrium: Reproducible Research Infrastructure for AI Agents - experiments, models, environments, evidence, recovery, evaluation, and verification.
面向论文、学位论文、文献综述与稿件的开放学术写作短语库、修辞策略与循证安全的研究写作技能。Open academic and scientific writing phrasebank, rhetorical moves, and evidence-safe research writing skills for papers, theses, literature reviews, and manuscripts.
使用 ConsensusMind 这一自主 AI Agent 对区块链共识机制进行全面深入的研究,涵盖文献综述、模拟与学术写作。🤖 Conduct thorough research on blockchain consensus mechanisms with ConsensusMind, an autonomous AI agent for literature review, simulations, and academic writing.
可携带证明的论文流水线:41 个确定性 MCP 工具 + 5 个 Skill 的写作流水线——实时引用核验、统计红线、模糊归属门禁、Agent 修复循环。零依赖。Proof-carrying paper pipeline: 41 deterministic MCP tools + 5-skill writing pipeline — live citation verification, statistical redlines, vague-attribution gates, agent fix-loops. Zero dependencies.
为 LLM Agent 自动化学术文献搜索、检索和管理工作流,使用面向主流数据库的集成研究 Skill。Automate academic literature search, retrieval, and management workflows for LLM agents using integrated research skills for major databases.
一个多 Agent 命令行工具,面向科研人员从 arXiv 和 Semantic Scholar 发现、总结并可视化最新量子科学论文。Multi-agent CLI tool that discovers, summarizes, and visualizes the latest quantum science papers from arXiv and Semantic Scholar for researchers.
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.
可复用的 Codex skill,用于生成紧凑、可直接投稿的科研配图,含匿名模板与统一的 V7 样式。Reusable Codex skill for compact, journal-ready scientific figures with anonymous templates and consistent V7 styling.
确定性的分阶段流水线,用于学术论文的检索、筛选、下载、转换与摘要。提供 CLI 与 MCP server。Deterministic stage-based pipeline for searching, screening, downloading, converting, and summarizing academic papers. CLI + MCP server.
面向 AI Agent 的循证科学写作与修订 SkillEvidence scientific writing and revision skill for AI agents
通过面向编码 Agent 的多 Agent Skill 工具包自动化论文写作,使用 PaperOrchestra 流水线将非结构化数据转换为 LaTeX 论文Automate research paper writing with this multi-agent skill pack for coding agents. Convert unstructured data into LaTeX papers using the PaperOrchestra pipeline.
ThesisAI 是一个高性能的自主研究 Agent(自主研究代理),旨在简化学术写作流程。它能将你提供的知识库中的复杂信息合成为结构化、格式规范的学术文本。ThesisAI is a high-performance Autonomous Research Agent designed to streamline academic writing. It synthesizes complex information from your provided knowledge base into structured, properly formatted academic prose.
一体化学术研究 Skill 套件:7 个仓库合并为一个路由式 Skill — 186 个 Skill、20 篇合并指南、148 篇工具指南,涵盖论文发现、阅读、文献综述、写作、同行评审、 rebuttal 与发表,以及 12/23 阶段自主研究流水线。All-in-one academic research skill suite: 7 repositories consolidated into one router-style skill — 186 skills, 20 merged guides, 148 tool guides, covering paper discovery, reading, literature review, writing, peer review, rebuttal, and publishing, plus 12/23-stage autonomous research pipelines.
以证据为先的 Agent Skill:对抗性学术新颖性审计——最小先验集合、历史截止点与跨桥感知的先验工作分析。Evidence-first Agent Skill for adversarial scholarly novelty audits — Minimal Prior Sets, historical cutoffs, and bridge-aware prior-work analysis.
输入一个研究问题,获取阅读指南与持续更新的源信息地图 — 基于 Cloudflare Durable Objects 构建的公共研究花园,保留成长历史Seed a research question, get a reading guide and a living source map — public research gardens with saved growth history, on Cloudflare Durable Objects.
面向 Claude Code 的对抗式学术写作审阅工具包 — 包含 30+ 审计 Skill(LaTeX、文献、可读性、模拟同行评审)以及一个机械检查器的 MCP server。Adversarial academic-writing review toolkit for Claude Code — 30+ audit skills (LaTeX, bibliography, readability, simulated peer review) plus an MCP server of mechanical checkers.
证伪优先的引用核验:论文存在性 / 元数据 / 论点支撑三重检查,可被 Claude Code、Codex、Cursor 以 MCP 调用 · Skeptical citation auditor for agent writing workflows · PyPI: citationguard
Meta 分析研究软件:通过厂商无关的 LLM 适配器从学术 PDF 中半自动提取效应量,由首席研究员进行人机协同验证,并采用不可变的数据锁定流程,导出可用于三层 Meta 分析回归的可复现效应量数据集Research software for meta-analysis: semi-automated effect-size extraction from academic PDFs with a vendor-neutral large-language-model adapter, human-in-the-loop verification by the principal investigator, and an immutable data-lock workflow that exports a reproducible effect-size dataset for three-level meta-analytic regression.
用于撰写正式泰语的 Claude Skill,让文本读起来像泰国作者所写,而非泰语词汇套入英语句式。A Claude Skill for writing formal Thai that reads as though a Thai author wrote it, not Thai words in English sentence shapes.