skill-evolution

Name: skill-evolution
Availability: InStock
Author: jacob-balslev

Automate corpus maintenance for Skill Graph through prioritized triage and bounded improvement cycles.

Updated May 14, 2026

Search Tags:#priority-queue #skill-evolution #skill-graph #audit-state #corpus-maintenance #keep-or-revert #evolve-loop

Ready to run

npx skills add https://github.com/jacob-balslev/skills --skill skill-evolution-jacob-balslev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-evolution
Source: https://github.com/jacob-balslev/skills/tree/main/skills/meta-methods/skill-evolution
Command: npx skills add https://github.com/jacob-balslev/skills --skill skill-evolution-jacob-balslev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Skill evolution maintains large Skill Graph corpora by automatically walking the skill library, triaging priorities, and applying bounded improvements with verification and checkpoints to prevent silent decay.

Core Features & Use Cases

Corpus-wide maintenance: analyzes the entire skill library and prioritizes reforms based on Audit Status, staleness, and risk.
Bounded, verifiable changes: executes one bounded action per item, verifies results, and checkpoints progress for resumability.
Standalone and project-grounded: supports both repository installations and workflow integration within a Skill Graph deployment.

Quick Start

Run the Skill Graph evolve loop with a bounded queue and resumable checkpoints in standalone mode.

Frequently Asked Questions about skill-evolution

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

FAQPage Schema

How do I automate skill library maintenance and prevent silent decay?▼

Automate skill library maintenance by continuously evolving skills through a prioritized queue. This process analyzes the entire corpus, triages priorities based on staleness and risk, and applies bounded improvements to prevent silent decay.

How does the analyze, triage, and execute loop work for corpus maintenance?▼

The evolve loop works by analyzing audit-state, triaging items into a priority queue, executing one bounded action, verifying results, and checkpointing progress. This cycle ensures resumable and verifiable corpus maintenance across the skill library.

Can I run corpus maintenance on a standalone repository?▼

Yes, you can run corpus maintenance on a standalone repository. The system supports standalone workspace mode with pilot lanes, allowing you to analyze and evolve skills outside of a full Skill Graph deployment.

What is audit-state.json used for in skill evolution?▼

Audit-state.json is used as provenance for skill evolution. It records the audit status, staleness, and risk data that the prioritized queue analyzes to triage and execute bounded improvement cycles across the skill library.

What is the best way to prioritize skill reforms in a large library?▼

The best way to prioritize skill reforms is by analyzing the entire skill library and ranking items based on audit status, staleness, and risk. This triage process feeds a bounded, verifiable execution queue for safe improvements.

How do I resume a bounded improvement cycle if it stops?▼

You can resume a bounded improvement cycle by using the checkpoint system. The loop executes one bounded action per item, verifies results, and checkpoints progress to ensure the maintenance process remains resumable.