Auto Paper Improvement Loop

Takes a compiled LaTeX paper and runs two rounds of GPT-5.5 review, fix implementation, and recompilation without human intervention. Each round uses a fresh reviewer thread to avoid score inflation from context carryover, a real problem the author documented when trying reply-based reviews. You can optionally pass a style reference to guide structural fixes or an edit whitelist to lock down which files and operations are allowed, useful for resubmissions where you can't touch the bibliography or add new theorems. Set human checkpoint mode if you want to approve changes between rounds. The two round limit reflects diminishing returns: round one catches structural issues, round two catches presentation problems, and round three rarely improves the actual quality score.

Install to Claude Code

npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop --agent claude-code