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hao-cyber
hao-cyberCOMMUNITY
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skill-dev

Manage AI agent skill lifecycles across local and registry workflows.

155|19|Updated Feb 25, 2026
Search Tags:#publishing#ai-agent#skill-lifecycle#offline-registry#search-install#fork-variant#reflection-review
One-click install
npx skills add https://github.com/hao-cyber/skill-evolution --skill skill-dev-hao-cyber
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-dev
Source: https://github.com/hao-cyber/skill-evolution/tree/main
Command: npx skills add https://github.com/hao-cyber/skill-evolution --skill skill-dev-hao-cyber

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Skill Evolution framework tackles the manual overhead of managing AI agent skills by providing a complete, offline-capable lifecycle system that supports creation, reflection, evaluation, publishing, search, installation, merging, review, and uninstall of skills.

Core Features & Use Cases

  • End-to-end lifecycle routing: create, reflect, evaluate, and publish skills with progressive loading to minimize context.
  • Registry-enabled workflow: search, install, fork variants, review, and uninstall skills across a built-in or private registry.
  • Offline-first operation: local skill development and maturation without external UI, enabling agents to evolve skills autonomously.

Quick Start

Open Claude Code and provide this repository's URL to initialize the Skill Evolution workflow.

Frequently Asked Questions about skill-dev

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

FAQPage Schema
How do I manage AI agent skills across their entire lifecycle autonomously?▼

AI agent skills lifecycle management is handled by orchestrating creation, reflection, evaluation, publishing, search, install, merge, review, and uninstall. This framework enables autonomous evolution of skills through structured routing and progressive loading to minimize context impact.

Can I develop and publish AI agent skills completely offline?▼

Offline-first operation allows local AI agent skill development and maturation without requiring an external UI. Agents can autonomously create, evaluate, and publish skills through local lifecycle routing and a built-in or private registry.

How do I handle skill variants and maturity checks for production readiness?▼

Skill variant handling and maturity checks are enforced through structured SKILL.md formats and auditing workflows. The framework evaluates skills for production-grade readiness by routing them through reflection and review processes before publishing.

What is the best way to scale AI agent skills without exceeding context limits?▼

Progressive loading minimizes context impact while scaling to many AI agent skills. The framework enforces structured SKILL.md formats to ensure efficient local lifecycle routing and registry-enabled workflows during skill evaluation and installation.

Does the skill lifecycle framework support forking and merging existing skills?▼

Forking variants, merging, and reviewing existing skills are supported across the registry-enabled workflow. Users can search, install, fork, and uninstall skills while the system maintains auditing and maturity checks throughout the process.

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