skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/qa-quarto/SKILL.md
Adversarial Quarto vs Beamer QA. Critic finds issues, fixer applies fixes, loops until APPROVED (max 5 rounds).
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research qa-quartoInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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.
Phase 0: Pre-flight → Phase 1: Critic audit → Phase 2: Fixer → Phase 3: Re-audit → Loop until APPROVED (max 5 rounds)
| Gate | Condition | |------|-----------| | Overflow | NO content cut off | | Plot Quality | Interactive charts >= static plots | | Content Parity | No missing slides/equations/text | | Visual Regression | Quarto >= Beamer in all dimensions | | Slide Centering | Content centered, no jumping | | Notation Fidelity | All math verbatim from Beamer |
Launch the quarto-critic agent to compare Beamer vs Quarto comprehensively. Report saved to quality_reports/[Lecture]_qa_critic_round1.md.
If not APPROVED, launch quarto-fixer agent to apply fixes (Critical → Major → Minor), re-render, and verify.
Re-launch critic to verify fixes. Loop back to Phase 2 if needed.
Max 5 fix rounds. After that, escalate to user with remaining issues.
Save to quality_reports/[Lecture]_qa_final.md with hard gate status, iteration summary, and remaining issues.
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
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Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".