research-review
wanshuiyin/Auto-claude-code-research-in-sleep
Provides a deep, multi-round, critical review of academic research, papers, or experimental results. This skill simulates senior ML reviewer feedback (e.g., NeurIPS/ICML level), acting as an adversarial process to identify logical gaps, missing experiments, and narrative weaknesses. It supports both automated (Codex) and manual external review backends for maximum reasoning depth and rigorous academic critique.