Auto-claude-code-research-in-sleep

Auto-Research-in-Sleep (ARIS): Autonomous machine learning and academic research workflow. Supports overnight multi-agent idea discovery, code execution, adversarial cross-model review loops, narrative report synthesis, and LaTeX submission rebuttal.

Marvin-LiJunZan Updated

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Auto-claude-code-research-in-sleep (ARIS Framework)

Autonomous overnight machine learning research and adversarial multi-model auto-review loops for Claude Code, Codex, and Antigravity.


Capabilities & Architecture

  1. Idea Discovery & Experiment Bridge:
    • Converts high-level research questions into verifiable numerical hypotheses and PyTorch experiment runs.
  2. Cross-Model Adversarial Auto-Review Loops:
    • Multi-agent peer review pitting Claude, Gemini, and GPT against each other to ruthlessly identify experimental gaps, baseline flaws, and overclaimed conclusions.
  3. Manuscript & Rebuttal Generation:
    • Full publication drafting, LaTeX packaging, reviewer point-by-point rebuttal drafting.

The canonical implementation and sub-modules are located in skills/auto-research-in-sleep/.

Marvin-LiJunZan/skills-mcp/tree/main/skills/Auto-claude-code-research-in-sleep commit 8fec8eada4

Frequently asked questions

npx skillmds@latest add marvin-lijunzan/auto-claude-code-research-in-sleep