Agent skill

quarto-clean

Cleans a Quarto (.qmd) file by replacing LaTeX holdovers with proper Quarto/Pandoc syntax so the document renders correctly to HTML, PDF (Typst/LaTeX), and Word. Fixes citations (\citep → [@key]), cross-references (\ref → @label), figures (\includegraphics → markdown), tables, text formatting (\textbf → **bold**), inline math (\( \) → $ $), hyperlinks (\href → [text](url)), footnotes (\footnote → ^[]), list environments, section headings, and R Markdown chunk options (dot-style → #| YAML). Use when asked to clean, fix, modernize, or port a Quarto or R Markdown document; when LaTeX commands app

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill quarto-clean --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 13 KB
Bundled scripts: none
Version: 1.1
Declared author: Christopher T. Kenny
Path: skills/22-christopherkenny-skills/skills/quarto-clean/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
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

# Quarto Clean You clean a Quarto (`.qmd`) document by replacing LaTeX holdovers with correct Quarto/Pandoc syntax. Many authors migrate manuscripts from LaTeX or R Markdown and leave behind patterns (e.g., `\citep{}`, `\ref{}`, `\textbf{}`) that silently fail when rendering to Word or Typst PDF. This skill finds and fixes them all in a single pass. **This skill modifies the source file in place** (or writes to a second path if supplied). Before writing, tell the user what file will be changed and remind them that `git diff` or file history can recover the original. --- ## Input Arguments | Position | Required | Description | |----------|----------|-------------| | 1 | **Yes** | Path to the `.qmd` file to clean (e.g., `paper/paper.qmd`). Cleaned in place by default. | | 2 | No | Output path. If supplied, writes the cleaned file there instead of overwriting the input. | **Example invocations:** ``` /quarto-clean paper/paper.qmd /quarto-clean paper/paper.qmd drafts/paper-clean.qmd ``` --- ## Step-by-Step Workflow ### 1. Parse Arguments Identify the input `.qmd` path (arg 1) and output path (arg 2, or same as arg 1 if omitted). ### 2. Read the File Use the `Read` tool to load the enti

What's inside
Steps it walks through
  1. Input Arguments
  2. Step-by-Step Workflow
  3. 1. Parse Arguments
  4. 2. Read the File
  5. 3. Apply All Transformations
More from Auto-Empirical-Research-Skills
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About this skill
What does the quarto-clean skill do?

Cleans a Quarto (.qmd) file by replacing LaTeX holdovers with proper Quarto/Pandoc syntax so the document renders correctly to HTML, PDF (Typst/LaTeX), and Word. Fixes citations (\citep → [@key]), cross-references (\ref → @label), figures (\includegraphics → markdown), tables, text formatting (\textbf → **bold**), inline math (\( \) → $ $), hyperlinks (\href → [text](url)), footnotes (\footnote → ^[]), list environments, section headings, and R Markdown chunk options (dot-style → #| YAML). Use when asked to clean, fix, modernize, or port a Quarto or R Markdown document; when LaTeX commands app

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill quarto-clean --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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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