Auto-claude-code-research-in-sleep
A collection of 81+ SKILL.md workflows for autonomous ML research with cross-model review.
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wanshuiyin
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MIT
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// about Auto-claude-code-research-in-sleep
ARIS (Auto-Research-In-Sleep) is a framework of research workflows, each implemented as a plain SKILL.md file, aimed at autonomous machine learning research. Its central idea is cross-model collaboration: one model executes a research task while a different model acts as a critical reviewer, covering tasks such as paper improvement, experimental design, and rebuttal drafting.