exam-prep
Create a exam prep with structured process, quality checks, and system integration
SKILL.md.claude/skills/education/exam-prep/SKILL.md
GitHubExam Prep
Purpose
Create a comprehensive exam prep that delivers actionable, measurable results. This skill provides a structured process with quality validation, ensuring professional-grade output every time.
Category: Education & Training
Inputs
Required
- Objective: What you want to achieve with this deliverable
- Context: Relevant background information
Optional
- Constraints: Any limitations or requirements to consider
- Existing Work: Previous documents or data to build on
System Context
Before starting:
- Read
memory.mdfor current project context and priorities - Check
knowledge-base.mdfor relevant learned rules or constraints - Review any existing related documents in the project
- Note any active tasks in
Task Board.mdthat relate to this deliverable
Process
Step 1: Context & Research
- Review any existing exam prep documents in the project
- Check knowledge-base.md for relevant learned rules or constraints
- Check memory.md for current project context and priorities
- Identify key stakeholders and their requirements
- Select the most appropriate framework: Bloom's Taxonomy, ADDIE (Analyze, Design, Develop, Implement, Evaluate), Kirkpatrick Four Levels
Step 2: Analysis & Framework Application
- Apply the selected framework to structure the exam prep
- Identify gaps, opportunities, and risks
- Define success metrics: Completion Rate, Assessment Scores, Knowledge Retention, Learner Satisfaction
- Document assumptions and dependencies
- Validate approach against industry best practices
Step 3: Build the Deliverable
- Structure the exam prep using the output format below
- Include specific, actionable recommendations — not generic advice
- Add concrete numbers, timelines, and benchmarks where applicable
- Cross-reference with existing project documents for consistency
- Ensure every section adds value — remove filler
Step 4: Quality Validation
- All required inputs have been addressed
- Recommendations are specific and actionable (not vague)
- Numbers and benchmarks are realistic and sourced
- Output format matches the specification below
- No contradictions with knowledge-base rules
- Follows best practice: Start with learning objectives (what will they DO)
Output Format
# Exam Prep
## Executive Summary
[2-3 sentence overview of the deliverable and key recommendations]
## Context & Objectives
- **Objective**: [What this achieves]
- **Audience**: [Who this is for]
- **Timeline**: [When this applies]
## Analysis
[Structured analysis using the selected framework]
## Recommendations
1. [Specific, actionable recommendation with expected impact]
2. [Specific, actionable recommendation with expected impact]
3. [Specific, actionable recommendation with expected impact]
## Implementation
| Action | Owner | Timeline | Priority |
|--------|-------|----------|----------|
| [Action item] | [Who] | [When] | [High/Medium/Low] |
## Success Metrics
| Metric | Current | Target | Measurement Method |
|--------|---------|--------|-------------------|
| [KPI] | [Baseline] | [Goal] | [How to measure] |
## Risks & Mitigations
| Risk | Likelihood | Impact | Mitigation |
|------|-----------|--------|------------|
| [Risk] | [H/M/L] | [H/M/L] | [Action] |
## Next Steps
- [ ] [Immediate next action]
- [ ] [Follow-up action]
- [ ] [Review date]
Applicable Frameworks
- Bloom's Taxonomy
- ADDIE (Analyze, Design, Develop, Implement, Evaluate)
- Kirkpatrick Four Levels
- Backwards Design
- Universal Design for Learning
- Spaced Repetition
Key Metrics
- Completion Rate
- Assessment Scores
- Knowledge Retention
- Learner Satisfaction
- Time to Competency
- Application Rate (on-the-job)
Best Practices
- Start with learning objectives (what will they DO)
- Chunk content into 5-7 minute segments
- Mix modalities (read, watch, do, discuss)
- Assessment aligned to objectives
- Follow up at 30, 60, 90 days for retention
After Completion
- Update
memory.mdif this deliverable changes project context or priorities - Add any reusable learnings to
knowledge-nominations.md - If follow-up actions were identified, add them to
Task Board.md - Recommend related skills if additional work is needed