Claude Skill

wanshuiyin/Auto-claude-code-research-in-sleep

ARIS (Auto-Research-In-Sleep) is a lightweight Markdown-only skill set for autonomous ML research. Supports cross-model review loops, idea discovery, and experiment automation with Claude Code, Cod...

Overview

Stars9,423
Forks897
LanguagePython
Last pushed2026-05-14
Last synced2026-05-15
View on GitHub

Repository

Ownerwanshuiyin
RepositoryAuto-claude-code-research-in-sleep
Full namewanshuiyin/Auto-claude-code-research-in-sleep
Repo ID1,177,608,268

🚀 Install this Skill

openclaw install wanshuiyin/Auto-claude-code-research-in-sleep

Summary

ARIS (Auto-Research-In-Sleep) is a lightweight, Markdown-only skill set designed for autonomous machine learning research. It enables cross-model review loops, idea discovery, and experiment automation without any framework lock-in, working seamlessly with Claude Code, Codex, OpenClaw, or any LLM agent.

Chinese description

ARIS ⚔️(自动睡眠研究)—— 专为自主机器学习研究设计的轻量级纯Markdown技能集:支持跨模型评审循环、创意发现与实验自动化。无需框架,无锁定限制——兼容Claude Skill、Codex、OpenClaw及任何LLM智能体。

Key features

  • Markdown-only skill set, no framework dependency
  • Cross-model review loops for robust research validation
  • Automated idea discovery and experiment execution
  • Compatible with Claude Code, Codex, OpenClaw, and any LLM agent
  • Lightweight design with zero lock-in

Use cases

  • Autonomous ML research paper review and idea generation
  • Cross-model validation of experimental results
  • Automated experiment design and execution in sleep mode
  • Rapid prototyping of research workflows without framework overhead
  • Integration with existing LLM agents for continuous research automation

Topics

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Data from GitHub. Synced on 2026-05-15