Agent skill · Code Review & Quality

slides-as-code

Build research slides with text-first source (Slidev/Marp/Reveal/Quarto) and reproducible export (PDF). Includes structure, figure reuse rules, and quality checklist for top-tier scientific presentations.

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

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

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBashGrepGlob
Path: bundled/skills/slides-as-code/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

# Slides as Code(顶级科研汇报的可复现幻灯片) ## 目标 解决常见问题: - PPT 版本失控(final_v7) - 图表重复截图、清晰度崩坏 - 汇报结构不稳定(信息密度失衡) 本 skill 让 slides 拥有: - 文本源(Markdown / Quarto / LaTeX Beamer) - 可复现导出(PDF、可选 PPTX) - 图表复用(直接引用 `figures/` 最终导出,不截图) --- ## 技术路线(按约束选) 1) **Slidev**:开发者友好,组件化,适合组会/技术分享 2) **Marp**:排版可控,适合快速生成简洁风格 3) **Reveal.js**:网页交互强,适合 demo/交互展示 4) **Quarto slides**:报告/论文/幻灯片一体化(推荐用于报告+slides联动) > 内容结构建议使用 `scient

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About this skill
What does the slides-as-code skill do?

Build research slides with text-first source (Slidev/Marp/Reveal/Quarto) and reproducible export (PDF). Includes structure, figure reuse rules, and quality checklist for top-tier scientific presentations.

How do I install it?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill slides-as-code --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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