ar-autoresearch
CommunityAutonomous research loop for numeric metric tuning.
Software Engineering#machine learning#autonomous loop#autoresearch#metric optimization#iterative experiment
AuthorJZKK720
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides an autonomous research loop for users who want to tune a numeric metric against a single editable file without human check-ins.
Core Features & Use Cases
- Autonomous Research Loop: Automates the process of experimenting with a single metric against an editable file.
- Loop Management: Continuously mutates the file, commits changes, runs experiments, and appends results.
- Use Case: Ideal for machine learning experiments where the user wants to optimize model parameters over time without manual intervention.
Quick Start
Initialize an autoresearch loop by running the following commands:
git checkout -b autoresearch/mar5
Then, start the loop by executing the skill ar-autoresearch.
Dependency Matrix
Required Modules
gitpythonpandasnumpy
Components
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: ar-autoresearch Download link: https://github.com/JZKK720/cubecloud-agentic-os/archive/main.zip#ar-autoresearch Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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