学术写作

01 Aperivue/medsci-skills 面向医学研究的 Agent Skills——文献检索、报告规范与引用核查、统计、发表图表、投稿。兼容 Claude Code、Codex、Cursor 与 GitHub Copilot。由医师-研究者构建，在真实发表论文上验证。MIT 协议。Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on real publications. MIT. 证据综述 系统综述 科研图表与表格文献检索与全文获取 引用写作 Agent 智能体 Python +7/周 331 ★ 02 htlin222/meta-pipe 由 Claude Code 驱动的端到端元分析自动化：AI 辅助文献综述、筛选、提取、分析与稿件生成，面向系统综述和临床证据合成。Claude Code-powered end-to-end meta-analysis automation: AI-assisted literature review, screening, extraction, analysis, and manuscript generation for systematic reviews and clinical evidence synthesis 证据综述 Meta 分析与证据综合 系统综述文献筛选与信息抽取 引用写作 Agent 智能体 Python +10/周 130 ★ 03 PangenomeAI/academic-skills-food-nutrition 开源、MIT 许可的食品、营养与农业科学研究技能，面向 Claude Code、Codex、MiniMax Agent、OpenClaw 与 Grok Build —— 支持多 Agent 文献/系统综述、期刊感知写作、同行评审、项目申请书、图表与可编辑 PPTX，并提供 150+ 期刊的作者指南。来自墨尔本大学 Food Science Group。Open, MIT-licensed food, nutrition & agricultural science research skills for Claude Code, Codex, MiniMax Agent, OpenClaw & Grok Build — multi-agent literature/systematic review, journal-aware writing, peer review, proposals, figures & editable PPTX, plus author guidelines for 150+ journals. From the Food Science Group, Univ. of Melbourne. 证据综述 系统综述 Meta 分析与证据综合大纲与论文起草 引用写作 Agent 智能体 Python +3/周 28 ★ 04 Intersect-Collaborations-LLC/research-workflow-assistant 面向 VS Code + GitHub Copilot 的开源 AI 研究助手。通过 MCP server 连接 PubMed、OpenAlex、Semantic Scholar、Europe PMC、CrossRef 与 Zotero。定制 Agent 可指导系统综述、学术写作、数据分析与项目管理——全流程符合 ICMJE 标准并保留完整审计轨迹。Open-source AI research assistant for VS Code + GitHub Copilot. Connects to PubMed, OpenAlex, Semantic Scholar, Europe PMC, CrossRef, and Zotero via MCP servers. Custom agents guide systematic reviews, academic writing, data analysis, and project management — all ICMJE-compliant with full audit trails. 证据综述 系统综述 文献检索与全文获取文献与引用管理 Zotero引用MCP Agent 智能体 HTML +1/周 25 ★ 05 mikhaeelatefrizk/affect-labeling-review 对情感标注（Lieberman 等 2007 范式）的系统综述与 Meta 分析。随机效应 Meta 分析（k=8），遵循 PRISMA 2020、RoB 2 / ROBINS-I，约 10,500 词手稿。开放数据与代码。Systematic review and meta-analysis of affect labeling (Lieberman et al. 2007 paradigm). Random-effects meta-analysis (k=8), PRISMA 2020, RoB 2 / ROBINS-I, ~10,500-word manuscript. Open data and code. 证据综述 系统综述 Meta 分析与证据综合实验与代码复现 引用写作 评测基准 Python 1 ★ 06 MattiaMarchi/ADHD-SUD_NMA 本仓库包含用于复现论文《Pharmacological treatments for ADHD and comorbid substance use disorder: a systematic review and network meta-analysis》中数据库与分析的 R 代码。This repository holds the R codes for reproducing the databases and analyses in my paper "Pharmacological treatments for ADHD and comorbid substance use disorder: a systematic review and network meta-analysis". 证据综述 Meta 分析与证据综合 系统综述 引用写作 数据与向量库 R 1 ★ 07 jackieroger/meta_analysis_paper 证据综述 Meta 分析与证据综合 写作 工程化 0 ★