khazix-skills

Package GitHub repositories into standardized AI skill units with SKILL.md frontmatter.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/acefrost511/workmemory --skill khazix-skills
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: khazix-skills
Source: https://github.com/acefrost511/workmemory/tree/main/skills/khazix-skills
Command: npx skills add https://github.com/acefrost511/workmemory --skill khazix-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps teams manage and evolve AI skills by providing a standardized lifecycle from creation (via github-to-skills) to maintenance (via skill-manager) and improvement (via skill-evolution-manager).

Core Features & Use Cases

  • Unified skill lifecycle: create, maintain, and evolve AI skills.
  • Automate packaging: convert GitHub repos into standardized SKILL.md and directories.
  • Evolution workflow: capture feedback, stitch improvements into SKILL.md.

Quick Start

Create a new skill by running /github-to-skills <repository> and manage its lifecycle with /skill-manager.

Frequently Asked Questions about khazix-skills

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

FAQPage Schema
How do I convert a GitHub repository into a standardized AI skill?

Converting a GitHub repository into an AI skill involves packaging the repo into a standardized unit with a SKILL.md file, defined frontmatter, and lifecycle scripts to enable end-to-end lifecycle management.

What is AI skill lifecycle management for software teams?

AI skill lifecycle management is the end-to-end process allowing software teams to create, maintain, and evolve multiple AI skills across projects using standardized directories and lifecycle scripts.

How do I manage and evolve existing AI skills across projects?

You manage and evolve AI skills across projects by applying lifecycle scripts with the /skill-manager command, capturing feedback and stitching improvements directly into the SKILL.md file.

Does skill lifecycle management require a specific directory structure?

Yes, skill lifecycle management requires a SKILL.md file at the root with name and description, alongside optional scripts, references, and assets folders to support creation, maintenance, and evolution workflows.

Can I automate the maintenance workflow for multiple AI skills?

Yes, you can automate the maintenance workflow for multiple AI skills by using standardized lifecycle scripts that support tooling workflows for creation, maintenance, and evolution across your software projects.