Generate evidence-based architecture alignment quizzes from repository documentation.
npx skills add https://github.com/cc-claws/cc-code --skill teacher-cc-claws
Please help me install this Agent Skill. Skill: teacher Source: https://github.com/cc-claws/cc-code/tree/main/.claude/skills/teacher Command: npx skills add https://github.com/cc-claws/cc-code --skill teacher-cc-claws
This Skill helps users verify whether they truly understand a codebase's architecture instead of relying on vague assumptions or superficial summaries.
Ask me to use the teacher skill to quiz me on this repository's architecture and explain any gaps in my understanding.
High-intent search queries and answers about installing and using this skill.
Validate codebase architecture understanding by taking evidence-based multiple-choice quizzes that probe real module relationships, dependency chains, and data flow, followed by interactive corrections explaining the accurate design rationale.
Test repository data flow and dependency analysis knowledge by generating targeted four-option single-choice quizzes from actual design documents, evaluating answers, and providing concise follow-up reviews based on documented architecture.
Architecture alignment quizzes support team onboarding to complex design documents by identifying partial understanding, explaining correct interface contracts with project-backed reasoning, and generating summary reports of weak areas.
Generate multiple-choice questions from real module relationships by analyzing the codebase and documented workflows, producing 5-8 targeted prompts that require evidence-based answers, and reviewing responses with interactive correction explanations.
Architecture quiz corrections explain incorrect answers about interface contracts by reviewing each response, identifying partial understanding, and detailing the correct architectural relationships with project-backed reasoning.
Use a codebase architecture quiz instead of a standard summary when you need to verify actual comprehension of dependency chains and design rationale, ensuring the user truly understands the system rather than relying on superficial assumptions.
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