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/create-peer-review

Automated peer review using Shadow-LEGO's 4-tier self-improving cascade.

Overview

This skill generates multi-perspective peer reviews of research papers by:

1. Fetching exemplar papers from arxiv for structural comparison
2. Running 4 fictional reviewer personas with distinct expertise and biases
3. Scoring on 6 rubric dimensions (soundness, technical novelty, empirical novelty, significance, clarity, presentation)
4. Using Shadow-LEGO cascade: heuristic → classifier → local GPT → teacher
5. Self-improving: local reviewer GPTs learn from teacher reviews via shadow observation

Architecture

4-Tier Review Cascade