evor-distill
CommunityScan existing ML repositories for starting-point report and EVOR mission preparation
Software Engineering#ml-research#workspace analysis#autonomous optimization#evor#starting-point report
Authorit-dainb
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps automate the preparation of an ML workspace for the EVOR engine, by scanning and generating a StartingPointReport that aids in setting up EVOR missions.
Core Features & Use Cases
- Repository Scanning: Identifies datasets, checkpoints, configs, and entry points within an existing ML repository.
- Report Generation: Generates a StartingPointReport to provide insight into the repository’s ML artifacts and to facilitate the EVOR setup.
- Integration: Designed to pre-fill the evor-setup interview, enhancing the EVOR workflow for the user.
Quick Start
Run /evor-distill /path/to/your/workspace to initiate the scan of your ML workspace.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 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: evor-distill Download link: https://github.com/it-dainb/oh-my-evor/archive/main.zip#evor-distill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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