Agent skill · Testing & QA

qa-quarto

Adversarial Quarto vs Beamer QA. Critic finds issues, fixer applies fixes, loops until APPROVED (max 5 rounds).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codecan modify filesNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill qa-quarto --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Allowed tools: ReadGrepGlobWriteEditBashTask
Path: skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/qa-quarto/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

# Adversarial Quarto vs Beamer QA Workflow Compare Quarto HTML slides against their Beamer PDF benchmark using an iterative critic/fixer loop. **Philosophy:** The Beamer PDF is the gold standard. The Quarto translation must be at least as good in every dimension. --- ## Workflow ``` Phase 0: Pre-flight → Phase 1: Critic audit → Phase 2: Fixer → Phase 3: Re-audit → Loop until APPROVED (max 5 rounds

More from Auto-Empirical-Research-Skills
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About this skill
What does the qa-quarto skill do?

Adversarial Quarto vs Beamer QA. Critic finds issues, fixer applies fixes, loops until APPROVED (max 5 rounds).

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill qa-quarto --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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