Does this skill provide actual training materials?

Yes, based on your gaps, it generates a personalized learning path with links to specific tutorials and exercises within the claude-code-in-action repository.

How long does the skill assessment take?

The Quick Assessment takes approximately 2 minutes (8 questions), while the Deep Assessment takes about 5 minutes for a comprehensive 10-category breakdown.

Can I retake the assessment as I learn?

Absolutely. You can run the skill at any time to update your skill profile and see how your level has progressed from Beginner to Advanced.

What feature areas does the quiz cover?

It evaluates 10 key areas: Slash Commands, Memory, Skills, Hooks, MCP, Subagents, Checkpoints, Advanced CLI Features, Plugins, and CI/CD integration.

Claude Code Self-Assessment & Learning Path

Name: Claude Code Self-Assessment & Learning Path
Author: spideynolove

byspideynolove

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학습 및 문서화

Evaluates your Claude Code proficiency and generates a personalized curriculum to master advanced AI coding features.

The self-assessment skill acts as a diagnostic coach for developers looking to master Claude Code. It runs interactive quizzes to measure your knowledge of core and advanced features like MCP servers, subagents, and memory hierarchy. After identifying specific skill gaps, it generates a custom-tailored learning path with recommended tutorials and practice projects, helping you progress from a beginner to an advanced power user by focusing only on the areas where you need improvement.

주요 기능

01Personalized learning paths with estimated time-to-mastery

02Real-world practice project recommendations based on current skill level

03Automated identification of specific knowledge gaps and dependencies

04Interactive Quick and Deep assessment modes for varying levels of detail

052 GitHub stars

06Detailed skill profiling across 10 distinct feature areas

사용 사례

01Onboarding team members to a standardized Claude Code workflow

02Benchmarking your current AI coding skills before starting a formal course

03Identifying specific advanced features like MCP or subagents that you haven't utilized yet

주요 기능

01Personalized learning paths with estimated time-to-mastery

02Real-world practice project recommendations based on current skill level

03Automated identification of specific knowledge gaps and dependencies

04Interactive Quick and Deep assessment modes for varying levels of detail

052 GitHub stars

06Detailed skill profiling across 10 distinct feature areas

사용 사례

01Onboarding team members to a standardized Claude Code workflow

02Benchmarking your current AI coding skills before starting a formal course

03Identifying specific advanced features like MCP or subagents that you haven't utilized yet