evolution-engine

Name: evolution-engine
Availability: InStock
Author: zxpmail

Automate rule and skill evolution in the Forge system from feedback data.

18|4|Updated May 16, 2026

Search Tags:#skill optimization #continuous improvement #evolution #feedback analysis #rule graduation

Ready to run

npx skills add https://github.com/zxpmail/ReqForge --skill evolution-engine-zxpmail

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: evolution-engine
Source: https://github.com/zxpmail/ReqForge/tree/main/core/skills/evolution-engine
Command: npx skills add https://github.com/zxpmail/ReqForge --skill evolution-engine-zxpmail

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the evolution of rules and skills within the Forge system, ensuring continuous improvement and adaptation based on user feedback and performance data.

Core Features & Use Cases

Feedback Analysis: Automatically scans feedback to identify patterns and suggest improvements.
Rule Graduation: Proposes upgrading common feedback patterns to official rules.
Skill Optimization: Suggests adjustments to skills with consistently low feedback scores.
New Skill Proposal: Identifies recurring patterns without existing skills and proposes new ones.
Use Case: For instance, if users frequently report issues with a specific feature, this Skill can propose a new rule or skill to address the problem.

Quick Start

Use the evolution-engine skill to check for evolution suggestions by running the command '/evolution-engine'.

Frequently Asked Questions about evolution-engine

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

FAQPage Schema

How do I automate rule and skill evolution for continuous improvement?▼

Automating rule and skill evolution involves scanning user feedback and performance data to propose upgrades, manage new skill creation, and graduate common patterns into official rules. This ensures continuous improvement based on real usage data.

How does feedback analysis work for suggesting skill optimizations?▼

Feedback analysis works by automatically scanning user feedback signals to identify recurring patterns and performance issues. It suggests adjustments to skills with consistently low scores and proposes new skills for unaddressed recurring patterns.

What is rule graduation and when do I need it?▼

Rule graduation is the process of upgrading common feedback patterns into official rules. You need it when frequent user feedback indicates a stable, recurring issue that should be formally codified rather than handled ad-hoc.

Do I need a specific environment to run the evolution engine for skill optimization?▼

Yes, running the evolution engine requires a Forge system environment and existing feedback data. It operates within this specific ecosystem to monitor signals and propose rule or skill upgrades.

What's the best way to trigger evolution suggestions for existing skills?▼

The best way to trigger evolution suggestions is to run the dedicated command within your environment. This action checks current feedback signals against performance data and proposes necessary skill adjustments or new skill creation.

When should I not use automated skill evolution?▼

You should avoid automated skill evolution if your environment lacks the Forge system setup or sufficient user feedback data. Without consistent performance metrics and feedback signals, the engine cannot accurately propose meaningful rule or skill upgrades.