skill-evolution

Name: skill-evolution
Availability: InStock
Author: kmshihab7878

Automate lifecycle management of self-improving skills with health metrics and evolution triggers.

6|1|Updated Apr 7, 2026

Search Tags:#feedback-loop #self-improving #skill-evolution #agent-health #evolution-triggers #operating-framework

Ready to run

npx skills add https://github.com/kmshihab7878/claude-code-setup --skill skill-evolution-kmshihab7878

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-evolution
Source: https://github.com/kmshihab7878/claude-code-setup/tree/main/skills/skill-evolution
Command: npx skills add https://github.com/kmshihab7878/claude-code-setup --skill skill-evolution-kmshihab7878

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Framework to treat skills as living entities that evolve based on execution feedback, enabling continuous improvement of skills.

Core Features & Use Cases

Three evolution triggers: post-execution analysis, degradation detection, and periodic health review.
Three evolution modes: FIX, DERIVED, CAPTURED.
Health metrics and integration with the operating framework for lifecycle management.

Quick Start

Run the evolution review for a target skill to assess health and propose improvements.

Frequently Asked Questions about skill-evolution

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

FAQPage Schema

How do I automate self-improving AI skills based on execution feedback?▼

Automate self-improving skills by applying a lifecycle management framework that monitors execution feedback, tracks health metrics, and triggers automated updates for continuous improvement.

How do I detect skill degradation in an automated operating framework?▼

Detect skill degradation by enabling periodic health reviews within the operating framework, which monitors performance metrics and triggers automated evolution workflows when degradation is detected.

What are the evolution modes for updating internal AI skills?▼

The three evolution modes for updating internal AI skills are FIX, DERIVED, and CAPTURED, which apply different improvement strategies based on execution feedback and health metrics.

How do I run an evolution review for a target skill?▼

Run an evolution review to assess the target skill's health metrics and propose improvements, utilizing the operating framework to apply necessary automated updates.

Can I manage the lifecycle of internal AI skills without external dependencies?▼

Manage internal AI skill lifecycles without external dependencies by using this advanced framework to track health metrics, trigger evolution modes, and integrate with the operating framework.

Why does my AI skill need a feedback loop for lifecycle management?▼

A feedback loop is needed to treat skills as living entities, enabling the lifecycle management system to apply execution feedback for continuous improvement and automated updates.