Agent skill · Workflow & Productivity

scholarly-publishing

Use when planning an end-to-end scholarly publishing workflow, including manuscript source-of-truth, submission assets, revision/rebuttal files, camera-ready checks, reproducible build expectations, and publication package structure.

foryourhealth111-pixelgithub.com/foryourhealth111-pixelGitHub ↗
claude-codecodexcan modify filesApache-2.0
Install
npx skills add foryourhealth111-pixel/Vibe-Skills --skill scholarly-publishing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 3 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBashGrepGlob
Path: bundled/skills/scholarly-publishing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,593
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Scholarly Publishing (论文投稿全流程) ## 你会得到什么(输出契约) 当用户说“我要投稿/返修/相机就绪/需要 LaTeX 工程化/写 rebuttal/写 cover letter”时,本 skill 负责把目标拆成**可交付的出版资产包**: - `manuscript/`:论文源文件(LaTeX / Word / Markdown 任一作为 *source-of-truth*) - `figures/`:每张图的源代码/源数据/最终导出要求(PDF/EPS/SVG/TIFF) - `supplement/`:补充材料(方法细节、附录、扩展实验、额外图表) - `submission/`:投稿所需文件(cover letter、graphical abstract、highlights、checklist、打包 zip) - `revision/`:返修资产

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About this skill
What does the scholarly-publishing skill do?

Use when planning an end-to-end scholarly publishing workflow, including manuscript source-of-truth, submission assets, revision/rebuttal files, camera-ready checks, reproducible build expectations, and publication package structure.

How do I install it?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill scholarly-publishing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From foryourhealth111-pixel/Vibe-Skills, a repository with 2,593 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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