Auto-claude-code-research-in-sleep

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

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.

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1,053 forks

Python

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/Auto-claude-code-research-in-sleep

# Project-specific

git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep .claude/skills/Auto-claude-code-research-in-sleep

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep

Option 2: Clone to extensions directory

git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.gemini/extensions/Auto-claude-code-research-in-sleep

Topics

ai-research ai-tools aris autonomous-agent claude claude-code claude-code-skills codex deep-learning gpt idea-generation llm machine-learning mcp mcp-server ml-research openai paper-review paper-writing research-automation

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