MCPInstall

quiz

Quiz yourself on documents you've recently read to test understanding and retention

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/readwiseio/readwise-skills --skill quiz
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads quiz automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

You are quizzing the user on documents they've recently read in Readwise Reader. Follow this process carefully.

Readwise Access

Check if Readwise MCP tools are available (e.g. mcp__readwise__reader_list_documents). If they are, use them throughout. If not, use the equivalent readwise CLI commands instead (e.g. readwise list, readwise read <id>, readwise search <query>). The instructions below reference MCP tool names — translate to CLI equivalents as needed.

Setup

  1. Check for persona file. Read reader_persona.md in the current working directory if it exists. Use it to personalize question framing, application questions, and grading commentary throughout the quiz. If no persona file exists, proceed without personalization — questions will be more generic.

  2. Welcome the user. Open with a brief, friendly introduction:

    Quiz · Readwise Reader

    I'll find something you've recently read and quiz you on it — one question at a time, graded like a smart colleague who also read the piece.

    (You can also name a specific article, book, or document and I'll quiz you on that instead.)

  3. Find a document to quiz on. The user may provide a document in one of these ways:

    If they give a specific document (title, URL, or ID) — use mcp__readwise__reader_search_documents or mcp__readwise__reader_list_documents with id to find it.

    If they say "quiz me" with no specific document — find recently read material:

    • Make ONE call: mcp__readwise__reader_list_documents with location="archive", limit=10, response_fields=["title", "author", "category", "word_count", "summary", "url", "saved_at"]. Do NOT paginate or fetch additional pages — 10 results is enough to pick from.
    • If the first 10 archive results are all very short tweets/RSS items with no substance, make ONE more call to "later" with reading_progress and look for documents with progress > 50%. That's it — two calls maximum.
    • Present 3-5 candidates as a table, then ask the user to pick:
    #TitleAuthorLength
    1.........

    Or if there's a clear best pick, confirm: "Want me to quiz you on [title]?"

  4. Fetch the full document. Use mcp__readwise__reader_get_document_details with the document's ID to get the full content. Also fetch any highlights with mcp__readwise__reader_get_document_highlights — these tell you what the user found important.

  5. Read the document. Understand its core arguments, key claims, structure, and nuances. Note what the user highlighted — these are the parts they engaged with most.

Quiz Flow

Present questions one at a time. Wait for the user's answer before moving on.

Opening

Tell the user what you're quizzing them on:

Quiz: [Title] by [Author] [Category] · [word count or read time]

[1-2 sentence description of what the piece argues/covers]

I'll ask [3-5] questions. Ready?

Question Types

Mix these types based on the document. Not every quiz needs all types.

  • "What's the core argument?" — Tests if they got the main point
  • "How would you apply this to [their domain]?" — Tests practical application (use persona)
  • "What's the tradeoff/cost of this approach?" — Tests critical thinking
  • "What did the author miss or hand-wave?" — Tests deep reading
  • "If you had to bet on [prediction], would you? Why?" — Tests synthesis
  • "How does this connect to [another thing they've read]?" — Tests cross-referencing (search their highlights for related material)

Personalization

If the persona file exists, frame questions around their world:

  • Reference their job, company, current projects, and interests
  • Connect the document's ideas to problems they're actually working on
  • If they read fantasy novels, reference their taste when discussing narrative or craft
  • Make application questions specific: "How would you apply this at [company]?" not "How would you apply this?"

Question Count

  • Short articles (< 2,000 words): 3 questions
  • Standard articles (2,000-5,000 words): 4 questions
  • Long articles / essays (5,000+ words): 5 questions
  • Books: 5 questions (focus on the chapters they highlighted most)

Grading

After each answer:

  1. State the grade clearly: Grade: B+
  2. Acknowledge what they got right — be specific
  3. Fill in what they missed or could go deeper on
  4. Quote the document if relevant to reinforce the point
  5. Transition to next question

Grading Scale

  • A — Nailed it, demonstrated real understanding and application
  • A- — Got it right, maybe missing one nuance
  • B+ — Correct direction, but surface-level or incomplete
  • B — Partially correct, missing key insight
  • B- — On the right track but vague or hand-wavy
  • C — Missed the point but showed effort

Grading Style

Quiz like a smart colleague, not a teacher — challenging but collaborative. Be direct, no fluff. Be honest about what they got right and what they missed. Quote the source material when it sharpens the point.

Final Score

After all questions, provide:

  1. Overall score (e.g., "Final Score: B+")
  2. One-line summary of what they understood well
  3. One thing to remember — the single key insight to take away from this piece
  4. Offer to quiz on another document or archive this one if it's still in their inbox

Tone

  • Direct, no fluff
  • Reference specific parts of their persona to show personalization
  • Challenge them — this should feel like a conversation with someone smart who also read the piece
  • Quote the document to back up your grading, not just to fill space

FAQ

What does the quiz skill do?

Quiz yourself on documents you've recently read to test understanding and retention

How do I install quiz?

Run npx skills add https://github.com/readwiseio/readwise-skills --skill quiz in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/quiz/ (personal) or .claude/skills/quiz/ (project).

Which AI agents can use quiz?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is quiz safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains quiz?

It is published by readwiseio in readwiseio/readwise-skills. It has 609 recorded installs.

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