ai-co-scientist
CommunityOrchestrate research with AI-driven hypothesis exploration.
Education & Research#research#hypothesis testing#experimentation#scientific method#tree search#computational science
Authorzeyxx
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of scientific research by systematically exploring hypotheses using a tree-based search, ensuring rigorous, reproducible, and efficient computational studies.
Core Features & Use Cases
- Systematic Hypothesis Exploration: Uses tree search to explore vast hypothesis spaces.
- Reproducible Research: Commits every experiment to Git with full context.
- Domain-Agnostic: Applicable to any computational or data-driven science.
- User Collaboration: Integrates user verification at critical checkpoints.
- Use Case: Researching the impact of different data augmentation techniques on model robustness, where the AI designs, runs, and analyzes hundreds of experiments to find the optimal configuration.
Quick Start
Use the ai-co-scientist skill to start a new research project at the path '/path/to/my/research'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 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: ai-co-scientist Download link: https://github.com/zeyxx/CYNIC-legacy/archive/main.zip#ai-co-scientist Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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