Auto Claude Code Research

Example Use Cases

• 1

  Autonomous ML research workflows including idea discovery, experiment execution, and paper writing.

• 2

  Cross-model collaboration to improve research quality via adversarial review.

• 3

  Lightweight, dependency-free skills compatible with multiple LLM platforms and models.

Description

This MCP server provides custom Claude Code skills to automate ML research workflows, including idea discovery, experiment planning, code review, and paper writing. It supports cross-model collaboration by combining Claude Code with external LLMs like Codex for critical review, improving research quality through adversarial review. The system is lightweight, dependency-free, and adaptable to various agent platforms and models, enabling fully autonomous research pipelines.

Capabilities(15 total)