Do I need to restart my AI agent after adding a skill?

Yes, adding, removing, or moving skills usually requires an agent restart for changes to take effect, though direct edits to existing skill content work immediately.

Which AI agents does this skill support?

It supports over 15 popular agents including Claude Code, Cursor, Roo Code, Goose, Windsurf, GitHub Copilot, and Gemini CLI.

How does the 'review' function improve my skills?

The review command audits skills against best practices, checking for name formatting, description specificity, body length, and path compatibility to ensure the AI understands instructions clearly.

What is the difference between User and Project scopes?

User scope skills are stored in your home directory and are available across all your projects, while Project scope skills are stored within a specific repository for team sharing.

AI Skills Manager

Name: AI Skills Manager
Author: CodeAlive-AI

byCodeAlive-AI

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開発者ツール

Manages, audits, and migrates AI skills across Claude Code and other leading AI coding agents to optimize developer workflows.

概要

The Skills Manager is a comprehensive utility for AI coding agents that provides full lifecycle management of custom skills. It allows users to list, inspect, review, and delete skills across local and project-wide scopes, ensuring that instructions are properly formatted and performant. Beyond Claude Code, it features robust multi-agent support, enabling seamless skill migration and synchronization between popular tools like Cursor, Windsurf, Roo Code, and Goose, making it an essential tool for developers maintaining a consistent AI-assisted coding environment.

主な機能

Context-aware scope management between user-global and project-local levels
23 GitHub stars
Cross-platform support for 15+ AI coding agents including Cursor and Goose
Automated skill auditing against formatting and performance best practices
Guided skill migration and copying between different AI development environments
Comprehensive CRUD operations for AI skill lifecycle management

ユースケース

Auditing and improving the quality of existing AI instructions for better output accuracy
Moving personal developer utilities to a shared project scope for team-wide collaboration
Synchronizing custom coding patterns across different AI IDEs and CLI tools

概要

主な機能

Context-aware scope management between user-global and project-local levels
23 GitHub stars
Cross-platform support for 15+ AI coding agents including Cursor and Goose
Automated skill auditing against formatting and performance best practices
Guided skill migration and copying between different AI development environments
Comprehensive CRUD operations for AI skill lifecycle management

ユースケース

Auditing and improving the quality of existing AI instructions for better output accuracy
Moving personal developer utilities to a shared project scope for team-wide collaboration
Synchronizing custom coding patterns across different AI IDEs and CLI tools