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iterate-skill

Refine AI-generated skills from evaluation feedback and maintain version backups.

Updated Jan 20, 2026
Search Tags:#refinement#version control#ai development#iteration#skill improvement#evaluation feedback
One-click install
npx skills add https://github.com/maxoreric/sop-engine --skill iterate-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: iterate-skill
Source: https://github.com/maxoreric/sop-engine/tree/main/%24workflow.input.user_intent/skills/iterate-skill
Command: npx skills add https://github.com/maxoreric/sop-engine --skill iterate-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the need to systematically improve AI-generated skills when they fail evaluation or require optimization, ensuring continuous quality enhancement.

Core Features & Use Cases

  • Automated Skill Refinement: Iteratively enhances skills based on evaluation feedback.
  • Version Control: Maintains a history of skill versions for rollback and auditing.
  • Use Case: After a clarify-skill is evaluated and found to have low output quality, iterate-skill can be triggered to analyze the feedback, modify the SKILL.md of clarify-skill, and save the previous version for reference.

Quick Start

Use the iterate skill to improve the current skill based on the evaluation results.

Frequently Asked Questions about iterate-skill

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

FAQPage Schema
How do I improve AI-generated skills based on evaluation feedback?▼

To improve AI-generated skills based on evaluation feedback, you iteratively refine the skill definition by analyzing the evaluation results and modifying the current skill configuration to enhance output quality.

What is the process for version control when refining skill definitions?▼

Version control during skill refinement works by backing up previous skill versions into reference components and updating status logs, ensuring you maintain a history of changes for rollback and auditing.

How do I automate skill refinement for continuous quality assurance?▼

You automate skill refinement for continuous quality assurance by triggering an iteration workflow that analyzes evaluation feedback, automatically modifies the target skill definition, and logs the updated status.

Do I need evaluation results to start iterating on a skill?▼

Yes, you need evaluation results and the current skill definition available for modification, as the iterative refinement process directly relies on evaluation feedback to systematically improve skill quality.

When should I use iterative skill refinement in AI development workflows?▼

You should use iterative skill refinement in AI development workflows when a skill fails evaluation or requires optimization, ensuring continuous quality enhancement through systematic updates and version tracking.

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