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QuizMe

Adaptive tech quiz skill for OpenClaw. Asks one question at a time on any coding or CS topic: Python, JavaScript, SQL, system design, algorithms, networking,...
OpenClaw自适应技术问答技能,每次出一道编程或计算机科学题目,涵盖Python、JavaScript、SQL、系统设计、算法、网络等。
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概述

QuizMe

Overview

An adaptive, Socratic quiz skill for tech and coding topics. Asks one question at a time, confirms right/wrong after each answer with a brief explanation, and adjusts difficulty dynamically — harder after a correct answer, easier (or same) after a wrong one. Saves topics to ~/quizme/topics.json for persistence across sessions.

Supported Topic Areas

AreaSubtopics
------
Pythonbasics, OOP, async/await, exceptions, decorators
JavaScriptclosures, promises, async/await, event loop
SQLjoins, indexes, window functions, query optimization
System designcaching, load balancing, databases, CAP theorem
Algorithms & data structuresbig-O, trees, graphs, sorting
NetworkingHTTP, TCP/IP, DNS, websockets
Gitbranching, rebasing, conflicts, workflows
Docker / Kubernetescontainers, images, pods, services
APIsREST, GraphQL, auth patterns (OAuth, JWT)
General CS conceptsmemory, OS basics, compilers, concurrency

See references/topics.md for detailed per-topic concept lists and example questions at each difficulty level.

Workflow

Step 1 — Start every session by asking the topic

Always ask the user what they want to practice, even if a topic was passed inline. Show the saved list from ~/quizme/topics.json if it exists:

> "What would you like to practice today?"

> [if topics exist] "Your saved topics: 1. Python async 2. SQL joins (or type a new topic)"

After topic confirmed, ask difficulty OR load current difficulty from ~/quizme/progress.json if the user has history with this topic:

> "Your last difficulty for Python was intermediate — continue there? (yes / pick another)"

If no prior history, default to beginner or ask: "What difficulty? (beginner / intermediate / advanced)"

Step 2 — Initialize the bank if needed

Check ~/quizme/bank/{topic_slug}-{difficulty}.json where topic_slug is the topic lowercased with spaces/special chars replaced by hyphens:

  • If the file is missing or has fewer than 3 unseen questions ("seen": false): generate questions inline (no external API needed — you are the LLM).
  • First run (file missing): generate 20 questions
  • Refill (file exists but low on unseen): generate 10 more and append
  • Tell the user: "Generating questions for [topic] at [difficulty]..." then generate and write the JSON file immediately.
  • After generating, add the topic to ~/quizme/topics.json if not already present.

How to generate inline: Produce a valid JSON array of question objects matching the bank format below, then write it to the bank file using the write tool. Do not call any external script or API.

Bank file format:

{
  "topic": "system design",
  "difficulty": "beginner",
  "generated_at": "YYYY-MM-DD",
  "questions": [
    {
      "id": "{topic_slug}-{diff_prefix}-{3-digit-index}",
      "concept": "short concept name",
      "question": "The question text",
      "code": null,
      "language": null,
      "options": {"A": "...", "B": "...", "C": "...", "D": "..."},
      "answer": "A",
      "explanation": "2-3 sentence explanation of why the answer is correct.",
      "seen": false,
      "correct_count": 0,
      "seen_count": 0
    }
  ]
}

For code topics: set "code" to a code snippet string (≤15 lines) and "language" to the language name.

For conceptual topics (networking, system design, algorithms theory): set both to null.

Step 3 — Ask questions from bank

Pick a random unseen question ("seen": false) from the bank. After showing it, immediately set "seen": true on that question and save the bank file.

Question format rules:

  • If "code" field is non-null: include the snippet in a fenced code block using the "language" value
  • If "code" is null: plain question text only
  • Always show all 4 options (A/B/C/D) from the "options" field
  • One question per message — never show two at once

Question template (code topic)

**Question N** — [Topic] ([difficulty])

[question text]

[code snippet]


A) ...
B) ...
C) ...
D) ...

Question template (conceptual topic)

**Question N** — [Topic] ([difficulty])

[question text]

A) ...
B) ...
C) ...
D) ...

Step 4 — After each answer

  1. Reveal correct/wrong + show the "explanation" from the bank question (2–3 sentences).
  2. Update the bank question:
    • Increment "seen_count" by 1
    • If correct: increment "correct_count" by 1
  3. Save the bank file.
  4. Check graduation: Count all questions in this bank where "seen_count" > 0. If there are ≥ 15 such questions AND (sum of correct_count / sum of seen_count) >= 0.80 → trigger graduation (Step 5).
  5. Check refill: Count remaining unseen questions ("seen": false). If fewer than 5 remain → silently generate 10 more inline and append them to the bank file.
  6. Ask the next question.

Step 5 — Graduation

When graduation triggers:

  • Announce: "You've mastered [difficulty] [topic]! Moving up to [next level]."
  • Delete the old bank file (~/quizme/bank/{slug}-{difficulty}.json)
  • Update ~/quizme/progress.json: mark current difficulty as graduated with today's date, set current_difficulty to the next level
  • Generate 20 new questions inline for the next difficulty and write the new bank file
  • Continue the session at the new difficulty

Difficulty order: beginner → intermediate → advanced

At advanced: no graduation. Just keep refilling the bank when unseen questions run low.

Step 6 — End session

When the user says "stop", "quit", "done", or similar:

  • Show summary: topic, questions answered this session, correct count, accuracy %
  • Save session stats to ~/quizme/progress.json (increment answered/correct counts for this topic+difficulty)

Storage Layout

~/quizme/
├── topics.json          # { "topics": ["python async", "SQL joins"] }
├── progress.json        # per-topic difficulty + stats
└── bank/
    ├── python-beginner.json
    ├── sql-joins-intermediate.json
    └── ...              # only current difficulty per topic lives here

progress.json format

{
  "python": {
    "current_difficulty": "intermediate",
    "beginner": { "answered": 17, "correct": 14, "graduated": true, "graduated_at": "2026-05-22" },
    "intermediate": { "answered": 4, "correct": 3, "graduated": false }
  }
}

topics.json format

{ "topics": ["python async", "SQL joins", "system design"] }
  • On first run, create the file if it doesn't exist.
  • When a new topic is introduced, append it to the list and save.
  • When showing saved topics, display them as a numbered list.

Hard Rules — Never Break These

  1. Never ask two questions at once.
  2. Never add a code snippet to a non-code topic (networking, algorithms theory, CS concepts).
  3. Never reveal the answer before the user responds.
  4. This skill is tech-only. If the user asks to be quizzed on a non-tech topic (history, cooking, etc.), politely decline and list the supported topic areas.
  5. Always provide 4 multiple-choice options (A/B/C/D) — no open-ended questions.
  6. Always explain after every answer, even when correct.

Difficulty Levels

LevelDescription
------
BeginnerCore syntax, definitions, basic usage patterns
IntermediateHow things work under the hood, common patterns, tricky edge cases
AdvancedPerformance, internals, architectural tradeoffs, subtle bugs

Resources

references/

  • topics.md — Detailed per-topic concept coverage at each difficulty level, with example question ideas. Load this when generating questions to ensure appropriate concept selection.

版本历史

共 1 个版本

  • v1.1.0 当前
    2026-05-23 23:34 安全 安全

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腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

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