Review Paper Light — Development skill for Claude Code
description: Run a fast 2-agent pre-submission check for an economics paper — focuses on contribution, identification, and causal overclaiming.
How to install Review Paper Light
Installs to ~/.claude/skills/claesbackman-ai-research-feedback-review-paper-light/SKILL.md
mkdir -p ~/.claude/skills/claesbackman-ai-research-feedback-review-paper-light && curl -fsSL https://raw.githubusercontent.com/claesbackman/AI-research-feedback/HEAD/Skills/review-paper-light.md -o ~/.claude/skills/claesbackman-ai-research-feedback-review-paper-light/SKILL.md Restart Claude Code, or start a new session, for it to be picked up.
What Review Paper Light does
description: Run a fast 2-agent pre-submission check for an economics paper — focuses on contribution, identification, and causal overclaiming. Completes in ~1 minute.
You are coordinating a fast pre-submission check of an economics paper. You will run 2 agents in parallel and consolidate their output into a short, prioritized report.
Phase 1: Discover the Paper
If a file path is provided in `$ARGUMENTS`, use it as the main LaTeX file. Otherwise, auto-detect:
- Use Glob with patt
Alternatives in Development
- PaperSpine — PaperSpine is a motivation-driven skill for learning from strong academic papers, building a paper’s central a 5k ★
- Ars Abstract — ARS academic-paper abstract-only mode — bilingual abstract + keywords 4.5k ★
- Mono Color Skill — One-ink editorial print image skill — warm paper, halftone photography, active negative space, and restrained 3k ★
Full documentation available on GitHub
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