darwin-skill

Evaluate and optimize SKILL.md documents using an 8-dimension rubric with git.

Updated Jun 3, 2026

Search Tags:#version control #skill optimization #git integration #skill evaluation #AI scoring

Ready to run

npx skills add https://github.com/SunshinePeace213/soriza-startup-layer --skill darwin-skill-sunshinepeace213

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: darwin-skill
Source: https://github.com/SunshinePeace213/soriza-startup-layer/tree/main/.claude/skills/darwin-skill
Command: npx skills add https://github.com/SunshinePeace213/soriza-startup-layer --skill darwin-skill-sunshinepeace213

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the optimization and scoring of other skills, using a detailed 8-dimension rubric and AI-based evaluation to enhance skill quality.

Core Features & Use Cases

8-Dimensional Scoring: Scores skills based on structure and effectiveness across eight dimensions.
Git Integration: Utilizes git for version control and hill-climbing optimization.
Human in the Loop: Includes user confirmation steps at critical points.
Use Case: Optimize the SKILL.md of your AI agents for better performance and clarity.

Quick Start

Run the darwin-skill on your AI agent's SKILL.md to start optimizing its quality.

Frequently Asked Questions about darwin-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I optimize and score my AI skill documents for better performance?▼

AI skill optimization uses an 8-dimension rubric to evaluate SKILL.md files, scoring structure and effectiveness while utilizing git for iterative improvements to continuously enhance skill documentation quality.

What is the best way to use version control for iterative skill improvement?▼

Using version control for iterative skill improvement involves integrating git to track changes during hill-climbing optimization, evaluating AI scoring results, and confirming modifications at critical points before finalizing.

How does AI scoring evaluate skill structure and effectiveness?▼

AI scoring evaluates skill structure and effectiveness by applying a detailed 8-dimension rubric to SKILL.md files, measuring specific quality metrics to guide the optimization process and generate actionable improvement scores.

Can I include user confirmation steps during the skill evaluation process?▼

You can include user confirmation steps during the skill evaluation process, as the optimization workflow incorporates human-in-the-loop checkpoints at critical points to ensure quality control before applying changes to SKILL.md files.

Do I need git integration to run the 8-dimensional scoring on SKILL.md files?▼

Git integration is required to run the 8-dimensional scoring effectively, as it enables hill-climbing optimization by tracking iterative improvements and managing version control throughout the skill evaluation process.