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可进化技能库管理器

Update and contribute AI skills in the copilot-evolution-skills repository via GitHub CLI.

1|Updated Feb 14, 2026
Search Tags:#version control#skills management#repository management#ai evolution#git submodule#contribution workflow
One-click install
npx skills add https://github.com/wxy/copilot-evolution-skills --skill -wxy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 可进化技能库管理器
Source: https://github.com/wxy/copilot-evolution-skills/tree/main/skills/_skills-manager
Command: npx skills add https://github.com/wxy/copilot-evolution-skills --skill -wxy

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the management of AI skills, enabling seamless updates, contributions, and version checks for the copilot-evolution-skills repository.

Core Features & Use Cases

  • Update Skills: Keeps the AI's skill set current with the latest repository changes.
  • Contribute Improvements: Facilitates the submission of local skill enhancements back to the main repository.
  • Check Version: Verifies the current version of the integrated skills library.
  • Use Case: When you've made improvements to a skill or need the latest features, you can ask the AI to "update skills" to ensure it's operating with the most up-to-date capabilities.

Quick Start

Ask the AI to update the skills.

Frequently Asked Questions about 可进化技能库管理器

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

FAQPage Schema
How do I update AI skills from a remote repository to the latest version?▼

To update AI skills, you can trigger a remote script execution that pulls the latest repository changes and verifies the current version of your skills library. This ensures your AI operates with the most up-to-date capabilities.

How can I contribute local AI skill improvements back to a main repository?▼

You can contribute local AI skill improvements by using the GitHub CLI to submit your changes via pull requests. This workflow facilitates pushing your local skill enhancements directly back to the main repository.

Does the skills management workflow support Git submodule operations?▼

Yes, the skills management workflow supports Git submodule operations and sparse checkout configurations. These features enable efficient integration of the copilot-evolution-skills repository into your local environment.

What is the best way to check the current version of an integrated AI skills library?▼

The best way to check the current version of an integrated AI skills library is to run a version verification command. This verifies your local skill set against the latest repository changes to ensure synchronization.

Why should I use sparse checkout for managing AI skills repositories?▼

Sparse checkout is used for managing AI skills repositories to enable efficient integration. By configuring sparse checkout, you limit the scope of fetched files, streamlining the update and contribution workflow for your specific needs.

Can I execute remote scripts to update my AI skill set automatically?▼

Yes, you can execute remote scripts to update your AI skill set automatically. This handles the update process by fetching the latest repository changes and keeping your AI's capabilities current without manual file transfers.

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