quiz-me

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Verify understanding after implementation with targeted quizzes

Web & Frontend 114 stars 13 forks Updated today MIT

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Skill Content

# Quiz Me ## When to Use Use this skill **after implementation** when: - You've completed a complex feature - Need to write a PR description - Want to verify understanding of changes - About to present work to team - Ensuring you stay "in the loop" with agent work ## What It Does The agent generates a quiz about the implementation to verify your understanding. This helps you: - Identify gaps in your knowledge - Prepare for code review discussions - Write better PR descriptions - Stay engaged with increasingly capable agents ## How to Execute ### Step 1: Scope the Quiz Determine what to test: - Core architectural decisions - Key implementation details - Edge cases and error handling - Integration points - Trade-offs made ### Step 2: Generate Questions Create questions across difficulty levels: **Level 1 - Recall** (What): - What did we implement? - What files were changed? - What are the main components? **Level 2 - Understanding** (Why): - Why did we choose this approach? - Why not use [alternative]? - What problem does this solve? **Level 3 - Application** (How): - How would you explain this to a reviewer? - How does this integrate with existing code? - How would you debug an issue here? **Level 4 - Analysis** (Implications): - What are the trade-offs? - What could go wrong? - What would you change if requirements changed? ### Step 3: Conduct Quiz (One Question at a Time) Use the `ask_user_question` tool for each quiz question. Ask **one question at a time** —...

Details

Author
jellydn
Repository
jellydn/my-ai-tools
Created
7 months ago
Last Updated
today
Language
Shell
License
MIT

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Use right after writing or editing code or files for the user — before ending your turn — to quiz them on what was just built and confirm they actually understand it. Also triggers on "quiz me", "test my understanding", "check what I learned", "comprehension check", or recovering the understanding that vaporizes when you orchestrate an agent instead of authoring the code yourself.

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Quiz the user on root cause and intended fix BEFORE writing any non-trivial code, then verify comprehension of every change after. Use when the user asks for a bug fix, refactor, or feature and wants to stay technically sharp instead of vibe-coding. Also use when the user says "quiz me", "don't let me vibe code", or "explain it back to me first".

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Test whether the user's mental model still matches work that already exists — code the agent wrote, a PRD, a plan, a document tree — usually because they delegated it, skimmed it, or were away while it was built. Derives a tree from the artifact, then asks one multiple-choice question at a time: general framing first, then hard into the decision points, with distractors drawn from the alternatives actually rejected, or from the conventional choice this artifact departed from. Every wrong answer is triaged — did the agent drift from the user's intent (→ punch list), or is it a gap in the user's knowledge (→ explained)? Needs an artifact that already exists: for a subject nothing was built for use `tutor`, and for a plain re-orientation with no questions asked use `catchup`. Triggers: /quiz-me, "quiz me on what we built", "test me on this plan", "grill me on the code you wrote", "do I actually understand what we built", "am I still in sync with what you wrote", "I approved that without reading it".

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