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🔄 Updated Mar 2026
Overview
Claude Code skills for autonomous ML research: cross-model review loops via Codex MCP
Problem It Solves
Autonomous machine learning research and code generation
Target Audience: ML researchers, AI developers, data scientists
Inputs
- • research questions
- • code specifications
- • ML models
Outputs
- • research findings
- • generated code
- • model evaluations
Example Workflow
- 1 Receive research input
- 2 Generate initial code
- 3 Cross-model review
- 4 Iterative improvement
- 5 Output final results
Sample System Prompt
Research optimal architectures for transformer models in NLP tasks
Tools & Technologies
Claude API Codex MCP GitHub
Alternatives
- • AutoGPT
- • BabyAGI
- • OpenAI Codex
FAQs
- Is this agent open-source?
- True
- Can this agent be self-hosted?
- True
- What skill level is required?
- advanced
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