By joshua-zyy
Evidence-driven, section-by-section CS/AI/ML paper writing skill collection with 7 modular skills
Search, verify, and map citations for CS/AI/ML papers. Produces VERIFIED/UNVERIFIED reference lists with Citation-to-Claim maps and Exemplar Sets. Use when: finding references for a paper section, verifying citation accuracy, building exemplar sets for introduction/related work learning, checking if existing citations are real and accurate, supplementing local literature library. Triggers on: 找引用, 文献检索, citation pass, find references, reference check, 补文献, citation verification, Exemplar Set, search papers, verify citation, 核验文献, 查引用, literature search, reference verification, citation verification with reading, 引用确认, 全文阅读验证.
Audit, run, or verify experimental evidence for CS/AI/ML papers. Produces Evidence Inventory with evidence_type annotations (newly_run/preexisting_artifact/user_claim) and Protocol Risk assessments. Use when: checking if experiment results are reproducible, auditing existing experiment artifacts, running minimal reproducible commands, evaluating checkpoints without full retraining, documenting protocol risks like data leakage or missing baselines. Triggers on: 复核实验, run experiments, 实验结果, experiment evidence, verify results, 实验验证, evidence inventory, protocol risk, 跑实验, check results, reproduce experiments, 实验审计.
Create, revise, or audit academic data/result figures for CS/AI/ML papers. Data/result plots default to Python-generated editable SVG with CS/AI/ML-specific design rules for benchmarks, ablations, training dynamics, robustness, diagnostics, distributions, confusion matrices, and efficiency tradeoffs. Use when: generating plots from experiment results or numeric data, auditing publication figures, suggesting data-driven figure types, revising chart colors/layouts/labels, or preparing figure QA reports. Model framework diagrams, architecture diagrams, overview diagrams, and complex mechanism schematics are outside this skill's automatic drawing scope; provide only manual figure requirements or caption/blueprint notes when needed. Triggers on: 绘图, figure, chart, 画图, 实验图, 训练曲线, 消融实验, 对比图, 混淆矩阵, 结果图, 性能图, 鲁棒性图, 效率图, plot, publication figure, 数据可视化, generate plot, figure blueprint, 建议图表类型, figure audit, 审查图表, figure revision, 修改图表.
Use when working on academic paper LaTeX layout, figure/table float placement, draft-to-template LaTeX generation, existing .tex project layout repair, figures piling up, figures far from text, large blank areas, two-column figure/table placement, page-limit layout cleanup, or compiled PDF layout review.
Use when writing or revising CS/AI/ML papers from research notes, code repositories, local literature libraries, target venue requirements, or section-level drafting requests. Triggers include 写论文, 初稿, paper draft, write introduction, write method, full paper outline, section-by-section drafting, 证据闭环, 论文起草, 从零写论文, 逐节写作.
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证据驱动 · 分节闭环 · 模块协作 · 硬门控 · 可验证
Academic Paper Writer 是面向 CS / AI / ML 论文写作场景的 模块化、证据驱动 的 Agent Skill 集合。
你是否也遇到过这些论文写作焦虑?
你不是一个人,学术写作的最大障碍往往不是做得不够,而是不知道怎么写出来。 |
这不是一个简单的一次性生成整篇论文的 prompt,而是一套工程化写作系统: 先把论文拆成多个可独立验证的环节,按证据审计 → 文献检索 → 实验复核 → 起草 → 质量门 → 验证的闭环逐节推进。每个环节都设硬门控,证据不足就阻塞或降级,绝不硬写。
核心思想在于将各位researcher从枯燥的论文写作中解放出来,将更多的时间与经历投入到对于论文/模型创新点的思考与设计当中。
独自迭代与维护这个项目,必然会陷入思维逻辑的困境
非常重视与欢迎各位 researcher 提出在实际使用中遇到的问题以及对项目的改进想法
| 🐛 遇到问题 | 💡 有改进建议 | 🤔 有疑问 |
| 工作流卡住、gate 误判、文档不清晰 | 觉得某个步骤可以优化、需要新的 skill 或 probe | 不确定某个设计为什么这样、或者想了解最佳实践 |
每条 issue 描述清楚复现步骤或期望行为即可,我会定期查看并纳入迭代计划
项目正在积极优化中,欢迎各位 researcher star 和 fork 项目,一起推动项目发展
| Skill | 角色 | 用途 | 典型触发词 |
|---|---|---|---|
| 🧠 academic-paper-writer | 核心编排器 | 完整论文起草、section loop、Hard Gates、子 skill 调度 | 写论文、paper draft |
| 🔍 academic-citation | 文献取证 | 文献检索、核验、Citation-to-Claim 映射、本地文献库优先搜索、subagent 全文阅读、Exemplar Set | 找引用、citation pass |
| 🔬 academic-experiments | 实验取证 | 实验证据盘点、最小可复核执行、协议风险审计 | 复核实验、verify results |
| ✅ academic-reviser | 审稿人 | 证据审查、三轮自审、Verification 判定 | 审修、self review |
| ✨ academic-polishing | 文体打磨 | Prose Quality Gate、Claim Strength Audit、去 AI 化 | 润色、claim strength |
| 📊 academic-figure | 数据图生成 | 实验数据图(Python 代码)、图表审查与修改;架构图只记录手工绘制需求 | 绘图、训练曲线、消融实验 |
| 🏛️ academic-venue-research | 期刊调研 | 调研目标 venue 投稿要求与写作风格,产出标准化 Venue Brief | 期刊调研、venue research、投稿要求 |
| 📐 academic-latex-layout | latex排版 | 学术论文 LaTeX 布局、图表浮动体放置、模板适配与布局修复(独立调用) | LaTeX 布局、float placement、layout repair |
使用 main 分支,每次启动 Claude Code 自动获取最新版本。
# 1. 添加 marketplace(main 分支)
/plugin marketplace add joshua-zyy/academic-paper-writer
# 2. 安装插件
/plugin install academic-paper-writer@academic-paper-writer
💡 自动更新:main 分支版本无需手动更新,每次启动 Claude Code 会自动检测并同步最新代码。
使用 stable 分支,只获取经过测试的稳定版本。
# 1. 添加 marketplace(stable 分支)
/plugin marketplace add joshua-zyy/academic-paper-writer@stable
# 2. 安装插件
/plugin install academic-paper-writer@academic-paper-writer
npx claudepluginhub joshua-zyy/academic-paper-writerWrite publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Includes LaTeX templates, citation verification, reviewer guidelines, and writing best practices from top researchers.
学术论文写作 — 12 agent 协作:结构设计、段落写作、引用合规、双语摘要、格式排版
Academic paper writing skills for ML conferences (NeurIPS, ICML, ICLR, AAAI)
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