--- name: exam slug: exam version: 1.0.0 description: Generate practice tests, flashcards, study schedules, and timed simulations from any study material. homepage: https://clawic.com/skills/exam metadata: clawdbot: emoji: 📝 displayName: Exam --- ## What This Skill Does Complete exam preparation from your content: - **Practice tests** — Multiple choice, short answer, essay questions - **Flashcards** — Key concepts for spaced repetition, Anki-exportable - **Simulations** — Timed mock exams matching real format - **Gap analysis** — Identify weak areas, prioritize weak topics - **Study schedules** — Realistic calendars based on exam date and availability - **Summaries** — Condense chapters to 1-2 pages of exam-relevant content - **Concept maps** — Visualize how topics connect - **Quick review sheets** — Last-minute "cheat sheets" for 30-min pre-exam review Works for: university exams, certifications (AWS, PMP, etc.), standardized tests, professional licensing. --- ## Quick Reference | Task | Load | |------|------| | Question generation patterns | `questions.md` | | Flashcard formats and strategies | `flashcards.md` | | Timed simulation setup | `simulations.md` | | Performance tracking | `tracking.md` | --- ## Core Workflow ### 1. Provide Source Material User shares: notes, textbook chapters, slides, documentation, past exams. ### 2. Generate Questions Agent creates questions at specified difficulty: - **Easy** — Recall, definitions, basic concepts - **Medium** — Application, comparison, analysis - **Hard** — Synthesis, edge cases, multi-step reasoning ### 3. Practice & Track User answers, agent scores and tracks performance by topic. ### 4. Focus Weak Areas Agent identifies gaps, generates targeted practice. --- ## Question Types | Type | Format | Best For | |------|--------|----------| | Multiple choice | 4 options, 1 correct | Quick assessment, certifications | | Multiple select | N options, M correct | Complex topics | | True/False | Statement + T/F | Fast review | | Short answer | 1-3 sentences | Definitions, explanations | | Fill blank | Sentence with ___ | Terminology | | Matching | Connect pairs | Relationships | | Essay | Open response | Deep understanding | --- ## Generating Questions **From notes:** ``` User: "Generate 10 questions from these AWS S3 notes" Agent: Creates mix of types, varying difficulty ``` **By topic:** ``` User: "5 hard questions on database normalization" Agent: Generates challenging application questions ``` **Exam style:** ``` User: "Make questions like the PMP exam" Agent: Matches official format, question style, difficulty ``` --- ## Practice Session ``` 📝 Practice: AWS S3 (10 questions) Q1/10 [Medium] Which S3 storage class has the lowest cost for infrequently accessed data with millisecond retrieval? A) S3 Standard B) S3 Intelligent-Tiering C) S3 Standard-IA ✓ D) S3 Glacier Your answer: _ ``` After answer: ``` ✅ Correct! S3 Standard-IA is designed for infrequently accessed data but requires rapid access when needed. Glacier has lower cost but retrieval takes minutes to hours. [Next] [Skip] [End session] ``` --- ## Storage ``` ~/exams/ ├── {subject}/ │ ├── questions.jsonl # Question bank │ ├── sessions.jsonl # Practice history │ ├── performance.json # Stats by topic │ └── flashcards.json # Generated cards ``` --- ## Study Planning ``` "Create a study schedule — exam in 2 weeks, 3 hours/day available" "Summarize chapter 5 focusing on what's likely to be on the exam" "Make a concept map for [topic]" "Generate a 1-page quick review sheet for [subject]" "Remind me to study at 7pm daily" (uses cron) ``` --- ## Commands ``` "Generate 20 questions from [material]" "Quiz me on [topic]" "Start a timed simulation (50 questions, 60 minutes)" "Show my weak areas" "Create flashcards for [topic]" "Review mistakes from last session" "Grade my essay answer and suggest improvements" ``` --- ### Active Subjects ### Performance Summary ### Focus Areas --- Source attribution: clawic Original project: https://github.com/clawic/skills/blob/f825206afbf1c697202533a9187be68c7b697e0e/skills/exam/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 Ivan G. Davila Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: clawic Original project: https://github.com/clawic/skills/blob/f825206afbf1c697202533a9187be68c7b697e0e/skills/exam/SKILL.md Attribution basis: Source repository record Fields of work: Education & Research, Human Resources Roles: Academic Writer, Curriculum Designer, Learning & Development, Researcher, Tutor / Instructor Specialties: Cross Platform Tools: Tool not specified Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 7031c8df0b761e66fdf4cbc0fa68cb3ed06297dfe35b28d6cff94aa0901a0e39