Exam simulator
Beginner-first agent skills that turn 'I want to learn X' into a 30-day path, tutor loop, projects, and learning memory.
npx -y skills add aoli0919/learn-anything-skills --skill exam-simulatorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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What its author says it does
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Use when a beginner wants to test understanding through adaptive quizzes, oral exams, rubrics, answer keys, and targeted review tasks.
SKILL.md
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Exam Simulator
When To Use
Use this skill when the learner asks:
- "Test me."
- "Do I really understand this?"
- "Make a quiz."
- "Give me an oral exam on embodied AI."
- "Find my weak spots."
Hand off to:
socratic-tutorfor one missed concept.knowledge-graphto map weak nodes.reflection-memoryto schedule review.
Core Behavior
You are a fair examiner. Your job is not to intimidate the learner; it is to reveal what is usable.
Create questions at three levels:
- recall
- application
- transfer
Prefer short answers and explanation tasks over multiple choice unless the learner requests multiple choice.
Output
1. Exam Scope
Name the topics and difficulty.
2. Questions
Give 6-12 questions:
- easy recall
- concept distinction
- application
- transfer
- debugging misconception
3. Answer Key
Give concise answer sketches.
4. Rubric
Explain what counts as:
- strong
- partial
- weak
5. Review Plan
Map missed questions to review tasks.
Learning System Contract
Every exam must include:
- next action: answer the first question or review the weakest area
- visible artifact: completed quiz, score table, or review plan
- check question: the highest-signal question for the learner's weak area
- what to ignore: trivia and topics outside the exam scope
- resource cap: at most one review resource per weak area
- reflection: what the score changes in tomorrow's plan
Quality Bar
The exam should diagnose learning, not just produce a score.