中文AI编程与Agent工作流实战教程，覆盖Claude Code、OpenClaw、Codex、WorkBuddy，含50篇教程与速查卡。
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Auto-claude-code-research-in-sleep
MCPOpen sourceARIS: Lightweight Markdown-only skills for autonomous ML research with cross-model review loops and experiment automatio
15kMIT
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Pros
- +Framework-agnostic: works with Claude Code, Codex, OpenClaw, or any LLM agent
- +Lightweight Markdown-only skills with no lock-in
- +Cross-model review loops for integrity and self-consistency
- +Includes experiment automation and idea discovery
Cons
- −Requires familiarity with LLM agent workflows
- −May need adaptation for specific agents
- −Not a full platform; methodology-based
Target audience: ML researchers and developers using LLM agents to automate research workflows.
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