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M1n-n9

paper-lifecycle

Codex skill for full academic paper lifecycle analysis and revision

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创建于 2026-06-15 · 更新于 2026-10-13 · 今日第 14872 名
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M1n-n9

M1n-n9/paper-lifecycle 排名第 14,872,有 696 个星标。

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M1n-n9/paper-lifecycle 排名第 14,872,此处有 8 个同类条目;alfianlosari/ChatGPTSwiftUI 排名第 14,873。

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关键参数与规格
关键参数与规格
参数值
类别Applications
子类别Research & knowledge
关键词Document understanding, Research, Writing
星标数696
分叉数38
贡献者1
创建日期2026-06-15
更新日期2026-10-13
1 天星标数0
7 天星标数4
排名14,872
上次排名14,710
排名变化-162
7 天星标排名6,407
上次 7 天星标排名4,867
7 天星标排名变化-1,540
总星标排名14,947
上次总星标排名14,915
总星标排名变化-32
README 摘录

Paper Lifecycle Skills 中文 · English 中文 Switch to English 现在是一个科研写作 skills suite。 根目录只做项目说明,真正可安装、可调用的 skill 是两个平级目录: 两个 Skill **Review Revision** 路径: 用途:对已有论文、初稿、被拒稿件或已有明确方向的 idea 做审稿

式体检和修改规划。 它会检查问题是否真实,insight 是否成立,novelty 是否站得住,method 是否服务于机制,experiments 是否支撑 claim,writing 是否把审稿人带到正确理解。 适合: 论文 PDF、LaTeX、Word 或 Markdown 初稿诊断 A 会、期刊或 workshop 投稿前 checklist introduction

、related work、method、experiments 等逐节修改 theory、statistics、reproducibility、figures/tables 审计 调用示例: **Rebuttal Response** 路径: 用途:专门处理审稿意见和 rebuttal。 它不是泛泛润色回复,而是把 reviews 拆成 AC 能判断的证据包:哪些 concern 会影响接收,哪些 reviewer 可能被说服,优先补哪些

证据,怎样写 AC-facing summary,怎样逐 reviewer 回复,怎样纠正事实错误但不显得攻击 reviewer。 适合: 收到 reviews 后做问题分类和优先级排序 写 AC-facing executive summary 回复 novelty、baseline、实验设置、方法动机、scope、事实误解 检查 rebuttal 语气,删掉过度道歉、硬

刚、空泛承诺 生成 rebuttal checklist 和 camera-ready promise list 调用示例: Codex 安装 建议把整个仓库 clone 到一个普通目录,再把两个 skill 分别链接到 Codex skills 目录。 Windows PowerShell: macOS / Linux: Claude / Claude Code / 其他 Agent 不依赖 Codex skill 机制时,直接让 agent 读取对应目录即可

。 Review Revision: 推荐提示词: Rebuttal Response: 推荐提示词: 目录结构 English 切换到中文 is now a research-writing skills suite.

常见问题

记录了多少星标和分叉?

M1n-n9/paper-lifecycle 有 696 个星标和 38 个分叉。

仓库排名是多少?

M1n-n9/paper-lifecycle 排名第 14,872。

哪个仓库排名最接近?

M1n-n9/paper-lifecycle 与 alfianlosari/ChatGPTSwiftUI 比较,后者排名第 14,873,有 696 个星标。

README

Paper Lifecycle Skills

中文 · English

中文

Switch to English

paper-lifecycle 现在是一个科研写作 skills suite。根目录只做项目说明,真正可安装、可调用的 skill 是两个平级目录:

review-revision/
rebuttal-response/

两个 Skill

Review Revision

路径:review-revision/

用途:对已有论文、初稿、被拒稿件或已有明确方向的 idea 做审稿式体检和修改规划。它会检查问题是否真实,insight 是否成立,novelty 是否站得住,method 是否服务于机制,experiments 是否支撑 claim,writing 是否把审稿人带到正确理解。

适合:

  • 论文 PDF、LaTeX、Word 或 Markdown 初稿诊断
  • A 会、期刊或 workshop 投稿前 checklist
  • introduction、related work、method、experiments 等逐节修改
  • theory、statistics、reproducibility、figures/tables 审计

调用示例:

Use $review-revision to audit this manuscript, plan revisions, and produce a final checklist.

Rebuttal Response

路径:rebuttal-response/

用途:专门处理审稿意见和 rebuttal。它不是泛泛润色回复,而是把 reviews 拆成 AC 能判断的证据包:哪些 concern 会影响接收,哪些 reviewer 可能被说服,优先补哪些证据,怎样写 AC-facing summary,怎样逐 reviewer 回复,怎样纠正事实错误但不显得攻击 reviewer。

适合:

  • 收到 reviews 后做问题分类和优先级排序
  • 写 AC-facing executive summary
  • 回复 novelty、baseline、实验设置、方法动机、scope、事实误解
  • 检查 rebuttal 语气,删掉过度道歉、硬刚、空泛承诺
  • 生成 rebuttal checklist 和 camera-ready promise list

调用示例:

Use $rebuttal-response to triage these reviews, plan new evidence, and draft a concise rebuttal.

Codex 安装

建议把整个仓库 clone 到一个普通目录,再把两个 skill 分别链接到 Codex skills 目录。

Windows PowerShell:

git clone https://github.com/M1n-n9/paper-lifecycle.git "$env:USERPROFILE\.codex\research-skills\paper-lifecycle"
New-Item -ItemType Junction -Path "$env:USERPROFILE\.codex\skills\review-revision" -Target "$env:USERPROFILE\.codex\research-skills\paper-lifecycle\review-revision"
New-Item -ItemType Junction -Path "$env:USERPROFILE\.codex\skills\rebuttal-response" -Target "$env:USERPROFILE\.codex\research-skills\paper-lifecycle\rebuttal-response"

macOS / Linux:

git clone https://github.com/M1n-n9/paper-lifecycle.git ~/.codex/research-skills/paper-lifecycle
ln -s ~/.codex/research-skills/paper-lifecycle/review-revision ~/.codex/skills/review-revision
ln -s ~/.codex/research-skills/paper-lifecycle/rebuttal-response ~/.codex/skills/rebuttal-response

Claude / Claude Code / 其他 Agent

不依赖 Codex skill 机制时,直接让 agent 读取对应目录即可。

Review Revision:

review-revision/SKILL.md
review-revision/references/review_revision_skill.md

推荐提示词:

Read review-revision/SKILL.md and review-revision/references/review_revision_skill.md, then use the review-revision workflow to analyze this manuscript.

Rebuttal Response:

rebuttal-response/SKILL.md
rebuttal-response/references/rebuttal_playbook.md

推荐提示词:

Read rebuttal-response/SKILL.md and rebuttal-response/references/rebuttal_playbook.md, then triage these reviews and draft an evidence-based rebuttal.

目录结构

paper-lifecycle/
├── README.md
├── CLAUDE.md
├── assets/
│   └── paper_lifecycle_three_conference_results_7200x9600.png
├── review-revision/
│   ├── SKILL.md
│   ├── agents/
│   │   └── openai.yaml
│   └── references/
│       └── review_revision_skill.md
└── rebuttal-response/
    ├── SKILL.md
    ├── agents/
    │   └── openai.yaml
    └── references/
        └── rebuttal_playbook.md

English

切换到中文

paper-lifecycle is now a research-writing skills suite. The repository root is documentation only. The actual installable skills are two sibling directories:

review-revision/
rebuttal-response/

Skills

Review Revision

Path: review-revision/

Purpose: reviewer-style diagnosis and revision planning for an existing manuscript, draft, rejected paper, or paper idea with a concrete direction. It checks whether the problem is real, the insight is defensible, the novelty holds, the method serves the mechanism, the experiments support the claims, and the writing guides reviewers through the argument.

Use it for:

  • PDF, LaTeX, Word, or Markdown manuscript diagnosis
  • A-tier, journal, or workshop submission checklists
  • section-level revision for introduction, related work, method, and experiments
  • theory, statistics, reproducibility, figures, and table audits

Prompt:

Use $review-revision to audit this manuscript, plan revisions, and produce a final checklist.

Rebuttal Response

Path: rebuttal-response/

Purpose: review-response and rebuttal planning. It does not merely polish replies. It turns reviews into a decision-ready evidence package for the AC: which concerns can change the decision, which reviewers are persuadable, what evidence to add, how to write an AC-facing summary, how to draft per-reviewer responses, and how to correct factual misunderstandings without sounding hostile.

Use it for:

  • triaging reviews and ranking concerns
  • writing an AC-facing executive summary
  • responding to novelty, baseline, experimental setup, method motivation, scope, and factual-error objections
  • removing excessive apology, defensiveness, vague promises, and hostile wording
  • producing a rebuttal checklist and camera-ready promise list

Prompt:

Use $rebuttal-response to triage these reviews, plan new evidence, and draft a concise rebuttal.

Codex Installation

Clone the suite into a normal directory, then link each skill into the Codex skills directory.

Windows PowerShell:

git clone https://github.com/M1n-n9/paper-lifecycle.git "$env:USERPROFILE\.codex\research-skills\paper-lifecycle"
New-Item -ItemType Junction -Path "$env:USERPROFILE\.codex\skills\review-revision" -Target "$env:USERPROFILE\.codex\research-skills\paper-lifecycle\review-revision"
New-Item -ItemType Junction -Path "$env:USERPROFILE\.codex\skills\rebuttal-response" -Target "$env:USERPROFILE\.codex\research-skills\paper-lifecycle\rebuttal-response"

macOS / Linux:

git clone https://github.com/M1n-n9/paper-lifecycle.git ~/.codex/research-skills/paper-lifecycle
ln -s ~/.codex/research-skills/paper-lifecycle/review-revision ~/.codex/skills/review-revision
ln -s ~/.codex/research-skills/paper-lifecycle/rebuttal-response ~/.codex/skills/rebuttal-response

Claude / Claude Code / Other Agents

If you are not using the Codex skill loader, ask the agent to read the relevant skill directory directly.

Review Revision:

review-revision/SKILL.md
review-revision/references/review_revision_skill.md

Recommended prompt:

Read review-revision/SKILL.md and review-revision/references/review_revision_skill.md, then use the review-revision workflow to analyze this manuscript.

Rebuttal Response:

rebuttal-response/SKILL.md
rebuttal-response/references/rebuttal_playbook.md

Recommended prompt:

Read rebuttal-response/SKILL.md and rebuttal-response/references/rebuttal_playbook.md, then triage these reviews and draft an evidence-based rebuttal.

Repository Structure

paper-lifecycle/
├── README.md
├── CLAUDE.md
├── assets/
│   └── paper_lifecycle_three_conference_results_7200x9600.png
├── review-revision/
│   ├── SKILL.md
│   ├── agents/
│   │   └── openai.yaml
│   └── references/
│       └── review_revision_skill.md
└── rebuttal-response/
    ├── SKILL.md
    ├── agents/
    │   └── openai.yaml
    └── references/
        └── rebuttal_playbook.md
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