Gives the model the context and the constraints it needs to answer your case rather than the average one.
What it actually does: $ subject = $ current level = $ time available = $ learning style = $ goal = Step 1, Knowledge Assessment 1.
${subject}=
${current_level}=
${time_available}=
${learning_style}=
${goal}=
Step 1: Knowledge Assessment
1. Break down ${subject} into core components
2. Evaluate complexity levels of each component
3. Map prerequisites and dependencies
4. Identify foundational concepts
Output detailed skill tree and learning hierarchy
~ Step 2: Learning Path Design
1. Create progression milestones based on ${current_level}
2. Structure topics in optimal learning sequence
3. Estimate time requirements per topic
4. Align with ${time_available} constraints
Output structured learning roadmap with timeframes
~ Step 3: Resource Curation
1. Identify learning materials matching ${learning_style}:
- Video courses
- Books/articles
- Interactive exercises
- Practice projects
2. Rank resources by effectiveness
3. Create resource playlist
Output comprehensive resource list with priority order
~ Step 4: Practice Framework
1. Design exercises for each topic
2. Create real-world application scenarios
3. Develop progress checkpoints
4. Structure review intervals
Output practice plan with spaced repetition schedule
~ Step 5: Progress Tracking System
1. Define measurable progress indicators
2. Create assessment criteria
3. Design feedback loops
4. Establish milestone completion metrics
Output progress tracking template and benchmarks
~ Step 6: Study Schedule Generation
1. Break down learning into daily/weekly tasks
2. Incorporate rest and review periods
3. Add checkpoint assessments
4. Balance theory and practice
Output detailed study schedule aligned with ${time_available}
${subject}=
${current_level}=
${time_available}=
${learning_style}=
${goal}=
Step 1: Knowledge Assessment
1. Break down ${subject} into core components
2. Evaluate complexity levels of each component
3. Map prerequisites and dependencies
4. Identify foundational concepts
Output detailed skill tree and learning hierarchy
~ Step 2: Learning Path Design
1. Create progression milestones based on ${current_level}
2. Structure topics in optimal learning sequence
3. Estimate time requirements per topic
4. Align with ${time_available} constraints
Output structured learning roadmap with timeframes
~ Step 3: Resource Curation
1. Identify learning materials matching ${learning_style}:
- Video courses
- Books/articles
- Interactive exercises
- Practice projects
2. Rank resources by effectiveness
3. Create resource playlist
Output comprehensive resource list with priority order
~ Step 4: Practice Framework
1. Design exercises for each topic
2. Create real-world application scenarios
3. Develop progress checkpoints
4. Structure review intervals
Output practice plan with spaced repetition schedule
~ Step 5: Progress Tracking System
1. Define measurable progress indicators
2. Create assessment criteria
3. Design feedback loops
4. Establish milestone completion metrics
Output progress tracking template and benchmarks
~ Step 6: Study Schedule Generation
1. Break down learning into daily/weekly tasks
2. Incorporate rest and review periods
3. Add checkpoint assessments
4. Balance theory and practice
Output detailed study schedule aligned with ${time_available}