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Quiz

Organization
readwiseio
quiz

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

Overview

Publisherreadwiseio
Repositoryreadwise-skills
Skill namequiz
Stars
324
Forks
13
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by readwiseio on GitHub. Read the source before you install it.

Installation

Install the Quiz AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/readwiseio/readwise-skills/tree/master/skills/quiz
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/readwiseio/readwise-skills.git /tmp/readwise-skills
mkdir -p .claude/skills
cp -r /tmp/readwise-skills/skills/quiz .claude/skills/quiz
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Quiz in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Quiz on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Quiz is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Quiz AI skill do?

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

Why use Quiz on TypingMind?

Because you install it once and use it with any model. Quiz is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Quiz in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/readwiseio/readwise-skills/tree/master/skills/quiz. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Quiz?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Quiz?

As many as you like. As long as a model supports skills, you can use Quiz with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Quiz AI skill free?

It is published on GitHub by readwiseio. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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