Agent skill · Code Review & Quality

md-to-pdf-academic

Convert Markdown to publication-quality PDF with LaTeX math rendering

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill md-to-pdf-academic --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/43-wentorai-research-plugins/skills/writing/latex/md-to-pdf-academic/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

# Markdown to PDF (Academic) ## Overview Many researchers prefer writing in Markdown for its simplicity and readability, but academic publishing demands the typographic quality of LaTeX-rendered PDFs. The Markdown to PDF Academic skill bridges this gap by providing a complete workflow for converting Markdown documents—including mathematical equations, citations, cross-references, figures, and tabl

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About this skill
What does the md-to-pdf-academic skill do?

Convert Markdown to publication-quality PDF with LaTeX math rendering

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill md-to-pdf-academic --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.

Keep going