skills/41-sticerd-eee-sewage-econometrics-check/skills/slide-excellence/SKILL.md
Multi-agent review for research presentation slides in the sewage-house-prices project (visual, econometric fidelity, proofreading, substance). Use for comprehensive quality check before milestones.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research slide-excellenceInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Run a comprehensive multi-dimensional review of research presentation slides. Multiple agents analyze the file independently, then results are synthesized.
Parse $ARGUMENTS for the filename. Resolve path in docs/conferences/.
Agent 1: Visual Audit (slide-auditor)
docs/conferences/quality_reports/[FILE]_visual_audit.mdAgent 2: Econometric Fidelity Review (econometrics-reviewer)
docs/overleaf/_main.tex)docs/conferences/quality_reports/[FILE]_econometrics_report.mdAgent 3: Proofreading (proofreader)
docs/conferences/quality_reports/[FILE]_report.mdAgent 4: TikZ Review (only if file contains TikZ)
docs/conferences/quality_reports/[FILE]_tikz_review.mdAgent 5: Substance Review (domain correctness)
docs/conferences/quality_reports/[FILE]_substance_review.md# Slide Excellence Review: [Filename]
## Overall Quality Score: [EXCELLENT / GOOD / NEEDS WORK / POOR]
| Dimension | Critical | Medium | Low |
|-----------|----------|--------|-----|
| Visual/Layout | | | |
| Econometric Fidelity | | | |
| Proofreading | | | |
| Substance | | | |
### Critical Issues (Immediate Action Required)
### Medium Issues (Next Revision)
### Recommended Next Steps
| Score | Critical | Medium | Meaning | |-------|----------|--------|---------| | Excellent | 0-2 | 0-5 | Ready to present | | Good | 3-5 | 6-15 | Minor refinements | | Needs Work | 6-10 | 16-30 | Significant revision | | Poor | 11+ | 31+ | Major restructuring |
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".
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".