data-ai-autoresearch
CommunityAutonomous AI autoresearch pipeline designer
Data & Analytics#reproducibility#experiment-design#evaluation-design#autoresearch#ml-automation#data-readiness#training-harness
Authorscanady
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Design autonomous AI research systems that iteratively improve ML models through automated experimentation.
Core Features & Use Cases
- Automated problem framing and phase planning for ML autoresearch projects.
- Fixed data infrastructure with a read-only prepare.py and a modifiable train.py to support reproducible experimentation.
- Experiment logging, provenance, environment manifests, and observability artifacts to ensure auditability and reproducibility.
Quick Start
Provide a complete autonomous research cycle starting from a baseline, then let the system iterate using the blessed runner.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: data-ai-autoresearch Download link: https://github.com/scanady/nexus-agents/archive/main.zip#data-ai-autoresearch Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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