Skill Analyzer FAQs

Question 1

What technical indicators does it use for analysis?

Accepted Answer

It performs deep analysis of dependency files (like package.json or pyproject.toml), detects installed frameworks, scans for tool configurations (like linters or CI/CD), and recognizes repeated code structures and naming conventions.

Question 2

What is included in a Skill Analysis Report?

Accepted Answer

The report provides a prioritized list of recommended skills (High, Medium, and Low priority) along with the reasoning for each, specific triggers for activation, and an estimation of the effort required to create them.

Question 3

What does the Skill Analyzer skill do?

Accepted Answer

The Skill Analyzer audits your codebase to identify missing specialized knowledge. It examines your dependencies, frameworks, and coding patterns to recommend new, custom Claude Skills that will make the AI more effective for your specific project.

Question 4

How does Skill Analyzer improve my development workflow?

Accepted Answer

By identifying where specialized skills are needed, it helps you eliminate repetitive explanations to Claude. It ensures the AI understands your project's unique conventions, leading to more accurate code generation and fewer errors.

Question 5

When should I use this skill?

Accepted Answer

You should invoke this skill when starting a new project, after adding major dependencies, or when you want to audit your current skill coverage. It is the perfect starting point for 'What skills should I create?' questions.

Skill Analyzer

Skill Analyzer

소개

주요 기능

사용 사례

소개

주요 기능

사용 사례