## Triggers

- "Design a learning plan for [age] to learn [skill]"
- "How should a [age]-year-old learn [coding/English/math]?"
- "Optimize conversion rate using psychology"
- "Create persuasive messaging without manipulation"
- "Understand customer decision-making process"
- "Build habit-forming product experience"
- "Age-appropriate teaching strategy for [topic]"
- "Behavioral analysis for [user segment]"

## Core Capabilities

### 1. Learning Psychology (Age-Optimized)

Design evidence-based learning experiences for any age:

| Age Band | Key Principles | Reference |
|----------|----------------|-----------|
| 3-6 | Play-based, sensory, attachment | `references/learning-development.md` |
| 7-12 | Concrete→abstract, scaffolding | `references/learning-development.md` |
| 13-17 | Autonomy, identity, peer influence | `references/learning-development.md` |
| 18-25 | Deliberate practice, metacognition | `references/learning-development.md` |
| 26-64 | Efficiency, transfer, constraints | `references/learning-development.md` |
| 65+ | Pacing, confidence, multimodal | `references/learning-development.md` |

**Skill-Specific Guidance:**
- **Languages**: See `references/skill-acquisition.md#languages`
- **Coding**: See `references/skill-acquisition.md#programming`
- **Mathematics**: See `references/skill-acquisition.md#mathematics`
- **Music/Sports**: See `references/skill-acquisition.md#motor-skills`

### 2. Cognitive Psychology

Core mental processes that drive behavior:

| System | Application | Reference |
|--------|-------------|-----------|
| Memory | Encoding, retrieval, spacing | `references/cognitive-systems.md#memory` |
| Attention | Focus, dual-task, load | `references/cognitive-systems.md#attention` |
| Decision | Heuristics, biases, choice | `references/cognitive-systems.md#decision` |
| Motivation | Intrinsic/extrinsic, goals | `references/motivation-frameworks.md` |

### 3. Marketing & Conversion Psychology

Ethical persuasion and conversion optimization:

| Framework | Use Case | Reference |
|-----------|----------|-----------|
| JTBD | Customer motivation | `references/marketing-psychology.md#jtbd` |
| Behavioral Economics | Choice architecture | `references/marketing-psychology.md#behavioral-econ` |
| Persuasion Science | Ethical influence | `references/marketing-psychology.md#persuasion` |
| Conversion Optimization | Funnel psychology | `references/conversion-optimization.md` |
| Customer Journey | Touchpoint design | `references/customer-psychology.md` |

### 4. Assessment & Analysis

Use scripts for personalized recommendations:

## Workflow

### Phase 1: Context Gathering

Collect minimum viable context:

**For Learning:**
- Age and developmental stage
- Prior knowledge and skills
- Time availability and constraints
- Motivation level and source
- Learning environment (tools, support)

**For Marketing:**
- Target audience demographics
- Current conversion metrics
- Customer pain points and goals
- Competitive landscape
- Ethical constraints

### Phase 2: Framework Selection

### Phase 3: Implementation

Generate specific, actionable plans using the detailed reference materials.

### Phase 4: Validation

Run ethics checklist from `references/safety-ethics.md` before final output.

## Guardrails (Hard Rules)

- **No medical/psychiatric advice** - Refer to professionals
- **No diagnosis** - Assessment tools are informational only
- **No manipulation** - All persuasion must be ethical and transparent
- **Minors: safety-first** - Conservative guidance, guardian involvement
- **Context-specific** - Avoid universal claims; tailor recommendations
- **Evidence-based** - Cite frameworks and principles, not anecdotes

## Output Templates

### Learning Plan Template

1. Identify domain → Learning OR Marketing OR Both
2. Gather context → Audience, goals, constraints
3. Apply framework → Select from references below
4. Validate → Run ethics and measurement checks

# Learner profile assessment
python scripts/learner_assessment.py --age 25 --skill coding --context work

# Conversion audit
python scripts/conversion_audit.py --funnel signup --segment new_users

# Bias detection in messaging
python scripts/bias_detector.py --copy "marketing_copy.txt"

# Search reference files
python scripts/search.py --query "habit formation" --ignore-case

Learning Task?
├── What age? → Select developmental approach
├── What skill? → Select acquisition framework
└── What constraint? → Optimize for time/depth/retention

Marketing Task?
├── Awareness stage? → Use attention + salience frameworks
├── Consideration? → Use social proof + comparison
├── Decision? → Use friction removal + risk reduction
└── Retention? → Use habit + loyalty frameworks

## Learning Plan: [Skill] for [Age/Context]

### Learner Profile
- Age/Stage: 
- Prior Knowledge: 
- Time Budget: 
- Primary Motivation: 

### Goals & Milestones
| Week | Goal | Success Indicator |
|------|------|-------------------|

### Method Mix
- Primary Method: 
- Practice Structure: 
- Feedback Mechanism: 

### Motivation & Habit Support
- Intrinsic drivers: 
- Habit triggers: 
- Progress visibility: 

### Risks & Mitigations
| Risk | Mitigation |
|------|------------|

## Conversion Optimization: [Funnel Stage]

### Audience Profile
- Segment: 
- Job-to-be-Done: 
- Current Behavior: 

### Psychological Levers (Ethical)
| Lever | Application | Why It Works |
|-------|-------------|--------------|

### Messaging Hierarchy
1. Primary Promise: 
2. Proof Point: 
3. Differentiator: 
4. Risk Reducer: 

### Experiment Design
- Hypothesis: 
- Metric: 
- Segment: 
- Duration: 

### Ethical Validation
☐ No deception
☐ No dark patterns
☐ Transparent value exchange
☐ User empowerment preserved