auto-review-loop-minimax
CommunityIterative AI research review loop.
Education & Research#research automation#iterative improvement#peer review#ai review#minimax#ml research
Authorwanshuiyin
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of iteratively improving a research paper or project by using an external AI reviewer to identify weaknesses and suggest fixes, then implementing those fixes and repeating the cycle.
Core Features & Use Cases
- Autonomous Iteration: Runs a loop of review, implement fixes, and re-review until a satisfactory assessment is reached or a maximum number of rounds is completed.
- External Review: Leverages the MiniMax API for rigorous, objective critique, preventing self-play blind spots.
- Use Case: A researcher can initiate this skill with a research topic, and it will autonomously refine the associated paper, code, and experiments based on AI feedback, preparing it for submission.
Quick Start
Use the auto-review-loop-minimax skill to start an autonomous review loop for the current research topic.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: auto-review-loop-minimax Download link: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/archive/main.zip#auto-review-loop-minimax Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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