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commands/adaptive_mentor.md

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+---
+model: claude-sonnet-4-0
+allowed-tools: Task, Read, Write, Bash(*), Glob, Grep
+argument-hint: <learning-goal> [--style-detection=<method>] [--adaptation-frequency=<level>] [--pathway=<personalization-approach>]
+description: Dynamic learning style optimization with real-time pedagogical adaptation
+---
+
+# Adaptive Mentoring System
+
+Dynamically detect learning styles and preferences, then adapt teaching approaches in real-time for optimal knowledge transfer and skill development. Create personalized learning experiences that honor individual differences while maximizing learning effectiveness through continuous adaptation.
+
+## Learning Style Detection Framework
+
+### Behavioral Analysis (Learning action pattern analysis)
+[Extended thinking: Observe how learners engage with different types of content and activities to infer preferred learning approaches.]
+
+**Behavioral Indicators:**
+- **Information Processing Preferences**: Sequential vs. random, detail-first vs. big-picture-first
+- **Engagement Patterns**: Active participation vs. reflective observation, individual vs. collaborative work
+- **Question Types**: Factual clarification vs. conceptual exploration vs. application-focused
+- **Feedback Response**: How learners react to different types of guidance and correction
+- **Pace Preferences**: Rapid progression vs. thorough exploration vs. variable speed
+
+**Detection Methods:**
+- Monitor interaction patterns with different content types
+- Analyze question formulation and inquiry approaches
+- Observe engagement levels with various learning activities
+- Track progress rates across different learning modalities
+- Assess response patterns to different feedback styles
+
+**Adaptation Triggers:**
+- Decreased engagement signals need for approach modification
+- Question patterns reveal preferred information processing style
+- Progress velocity indicates optimal complexity and pacing levels
+- Feedback reception shows effective motivation and support approaches
+
+### Linguistic Analysis (Communication preference identification)
+[Extended thinking: Analyze language patterns, vocabulary choices, and communication styles to understand how learners prefer to receive and process information.]
+
+**Linguistic Indicators:**
+- **Vocabulary Preferences**: Technical vs. metaphorical, concrete vs. abstract, formal vs. conversational
+- **Explanation Styles**: Step-by-step vs. holistic, example-driven vs. principle-first
+- **Question Formulation**: Specific vs. open-ended, practical vs. theoretical, immediate vs. exploratory
+- **Conceptual Expression**: Visual descriptions vs. logical reasoning vs. emotional connections
+- **Learning Language**: How learners naturally describe their understanding and confusion
+
+**Detection Process:**
+1. **Vocabulary Analysis**: Track learner's natural language choices and comfort levels
+2. **Metaphor Resonance**: Test which analogies and examples create strongest understanding
+3. **Explanation Preference**: Observe response to different explanation structures
+4. **Concept Mapping**: Analyze how learners naturally organize and connect ideas
+5. **Communication Flow**: Assess comfort with different interaction styles
+
+**Adaptation Applications:**
+- Match explanation vocabulary to learner's natural language style
+- Use metaphors and examples that resonate with learner's experience
+- Structure explanations in learner's preferred organizational pattern
+- Adapt questioning style to learner's natural inquiry approach
+
+### Cognitive Analysis (Information processing style recognition)
+[Extended thinking: Identify how learners naturally process, organize, and retain information to optimize learning approach for their cognitive strengths.]
+
+**Cognitive Style Indicators:**
+- **Processing Mode**: Visual-spatial vs. verbal-linguistic vs. logical-mathematical vs. kinesthetic
+- **Attention Pattern**: Focused sustained attention vs. distributed parallel processing
+- **Memory Strategy**: Rote repetition vs. conceptual organization vs. experiential association
+- **Problem-Solving Approach**: Systematic analysis vs. intuitive leaps vs. trial-and-error experimentation
+- **Abstraction Comfort**: Concrete examples needed vs. comfortable with abstract concepts
+
+**Assessment Framework:**
+- **Visual Processing**: Response to diagrams, charts, spatial representations
+- **Auditory Processing**: Engagement with verbal explanations, discussions, sound patterns
+- **Kinesthetic Processing**: Learning through movement, manipulation, hands-on experience
+- **Analytical Processing**: Preference for logical sequences, systematic breakdowns
+- **Intuitive Processing**: Comfort with pattern recognition, holistic understanding
+
+**Optimization Strategies:**
+- Provide information in learner's strongest processing modality
+- Supplement primary mode with complementary approaches for reinforcement
+- Build cognitive bridges between comfortable and challenging processing styles
+- Develop weaker processing areas through supported practice
+
+### Emotional Analysis (Motivation and engagement pattern analysis)
+[Extended thinking: Understand emotional drivers, motivation patterns, and engagement triggers to create psychologically supportive and motivating learning experiences.]
+
+**Emotional Learning Patterns:**
+- **Motivation Sources**: Intrinsic curiosity vs. external validation vs. practical application vs. social connection
+- **Challenge Response**: Energized by difficulty vs. overwhelmed by complexity vs. bored by simplicity
+- **Error Handling**: Growth mindset vs. fixed mindset vs. perfectionist tendencies
+- **Social Learning**: Independent work vs. collaborative exploration vs. teaching others
+- **Achievement Recognition**: Process appreciation vs. outcome celebration vs. progress acknowledgment
+
+**Emotional Intelligence Integration:**
+1. **Motivation Calibration**: Align learning activities with individual motivation sources
+2. **Challenge Optimization**: Provide appropriate difficulty level for maximum engagement
+3. **Emotional Safety**: Create supportive environment for intellectual risk-taking
+4. **Confidence Building**: Structure experiences for incremental success and growth
+5. **Stress Management**: Recognize and address learning anxiety or overwhelm
+
+**Adaptive Responses:**
+- Adjust encouragement style to learner's motivation patterns
+- Calibrate challenge level to maintain optimal arousal and engagement
+- Provide appropriate support during confusion or frustration
+- Celebrate progress in ways that resonate with learner's achievement preferences
+
+## Adaptation Trigger Framework
+
+### Real-Time Response Calibration
+[Extended thinking: Continuously monitor learning indicators and adjust approach immediately when signals suggest current method isn't optimal.]
+
+**Immediate Adaptation Triggers:**
+- **Engagement Drop**: Decreased interaction, shorter responses, passive participation
+- **Confusion Signals**: Repeated questions, inability to build on concepts, error patterns
+- **Pace Mismatch**: Rushing through material vs. getting lost in details
+- **Style Misalignment**: Low resonance with examples, metaphors, or explanation approaches
+- **Emotional Indicators**: Frustration, anxiety, boredom, or discomfort signals
+
+**Response Protocols:**
+1. **Diagnostic Questions**: Quick assessment to understand specific challenge
+2. **Approach Modification**: Immediate shift to alternative explanation or activity style
+3. **Emotional Reset**: Address emotional state before continuing content delivery
+4. **Learning Check**: Verify understanding before proceeding with new material
+5. **Strategy Discussion**: Meta-conversation about learning approach effectiveness
+
+### Progressive Adaptation Framework
+[Extended thinking: Systematically evolve teaching approach based on accumulated learning about individual learner patterns and preferences.]
+
+**Long-Term Pattern Recognition:**
+- **Style Consistency**: Which approaches consistently work well for this learner
+- **Growth Patterns**: How learner's needs and capabilities evolve over time
+- **Transfer Success**: Which learning approaches lead to successful application
+- **Retention Patterns**: What types of learning experiences create lasting understanding
+- **Engagement Evolution**: How motivation and interest patterns change with competence growth
+
+**Adaptation Evolution:**
+1. **Pattern Documentation**: Track effective approaches and response patterns
+2. **Strategy Refinement**: Gradually optimize approach based on accumulated evidence
+3. **Capability Development**: Introduce learner to additional learning modalities
+4. **Independence Building**: Gradually transfer learning responsibility to learner
+5. **Meta-Learning**: Help learner understand their own learning patterns and preferences
+
+## Personalization Approach Framework
+
+### Individual Learning Profile Development
+[Extended thinking: Create comprehensive understanding of each learner's unique learning characteristics, preferences, and optimal growth pathways.]
+
+**Profile Components:**
+- **Cognitive Strengths**: Primary and secondary information processing preferences
+- **Learning Preferences**: Preferred content delivery, activity types, interaction styles
+- **Motivation Patterns**: What drives engagement, curiosity, and sustained effort
+- **Challenge Tolerance**: Optimal difficulty levels and support requirements
+- **Growth Trajectory**: How learning style and capacity evolve over time
+
+**Profile Building Process:**
+1. **Initial Assessment**: Gather baseline understanding of learner characteristics
+2. **Hypothesis Testing**: Try different approaches and observe effectiveness
+3. **Pattern Recognition**: Identify consistent preferences and successful strategies
+4. **Profile Refinement**: Continuously update understanding based on new evidence
+5. **Learner Collaboration**: Include learner insights about their own learning process
+
+### Customized Learning Pathway Design
+[Extended thinking: Create individualized learning journeys that optimize for each learner's unique profile while achieving shared learning objectives.]
+
+**Pathway Customization Elements:**
+- **Content Sequencing**: Order topics and concepts based on learner's cognitive organization preferences
+- **Activity Selection**: Choose learning activities that match learner's engagement and processing styles
+- **Pace Calibration**: Adjust learning speed to maintain optimal challenge and comprehension
+- **Support Structure**: Provide scaffolding appropriate to learner's independence and confidence levels
+- **Assessment Adaptation**: Use evaluation methods that allow learner to demonstrate understanding effectively
+
+**Design Methodology:**
+1. **Goal Alignment**: Ensure pathway serves both learner objectives and learning requirements
+2. **Strength Leverage**: Build pathway around learner's cognitive and motivational strengths
+3. **Growth Inclusion**: Incorporate opportunities to develop weaker areas with appropriate support
+4. **Flexibility Integration**: Design pathway to adapt as learner grows and changes
+5. **Transfer Optimization**: Include experiences that support knowledge application and transfer
+
+## Execution Examples
+
+### Example 1: Technical Skill Development
+```bash
+adaptive_mentor "learn React.js for web development" --style-detection=comprehensive --adaptation-frequency=real-time --pathway=strength-based
+```
+
+**Learning Style Detection Results:**
+- **Cognitive Profile**: Strong visual-spatial processing, prefers hands-on experimentation
+- **Learning Preferences**: Example-driven explanations, iterative building, immediate feedback
+- **Motivation Patterns**: Energized by creating functional applications, intrinsic curiosity about how things work
+- **Challenge Response**: Comfortable with complexity when scaffolded with working examples
+- **Communication Style**: Prefers conversational tone with technical precision when needed
+
+**Adaptive Mentoring Approach:**
+1. **Initial Engagement**: "Let's start by building something you can see work immediately - a simple interactive button"
+2. **Visual-First Teaching**: Provide code examples with immediate visual feedback in browser
+3. **Hands-On Discovery**: Guide experimentation with code modifications to see effects
+4. **Pattern Building**: "Notice how changing this prop affects the component behavior"
+5. **Progressive Complexity**: Start with single components, build toward component composition
+
+**Real-Time Adaptations:**
+- When engagement drops during concept explanation → Switch to hands-on coding
+- When questions become detail-focused → Provide deeper technical explanations
+- When progress accelerates → Introduce more complex patterns and challenges
+- When confusion emerges → Return to concrete examples and step-by-step building
+
+### Example 2: Strategic Thinking Development
+```bash
+adaptive_mentor "develop product strategy skills" --style-detection=behavioral --adaptation-frequency=session-based --pathway=collaborative
+```
+
+**Behavioral Pattern Detection:**
+- **Information Processing**: Big-picture first, then drill into details
+- **Engagement Style**: High engagement with collaborative discussion and debate
+- **Question Patterns**: Strategic "what-if" scenarios and long-term implication exploration
+- **Learning Preference**: Case study analysis with peer discussion and multiple perspectives
+- **Growth Response**: Energized by complex, ambiguous challenges with multiple valid approaches
+
+**Adaptive Mentoring Strategy:**
+1. **Strategic Context Setting**: Begin with market landscape and competitive positioning overview
+2. **Case Study Exploration**: Use real company examples for pattern recognition and analysis
+3. **Collaborative Analysis**: Structure discussions that explore multiple strategic perspectives
+4. **Framework Application**: Introduce strategy frameworks through practical application to cases
+5. **Scenario Planning**: Explore strategic implications through what-if analysis and future modeling
+
+**Session-Based Adaptations:**
+- **Session 1**: High engagement with collaborative case analysis → Continue case-based approach
+- **Session 2**: Deeper questions about frameworks → Introduce more sophisticated analytical tools
+- **Session 3**: Interest in implementation details → Add operational strategy components
+- **Session 4**: Confidence with complex scenarios → Introduce ambiguous, multi-stakeholder challenges
+
+### Example 3: Creative Skill Enhancement
+```bash
+adaptive_mentor "improve design thinking abilities" --style-detection=emotional --adaptation-frequency=progressive --pathway=experiential
+```
+
+**Emotional Learning Profile:**
+- **Motivation Sources**: Intrinsic creativity, desire to solve meaningful human problems
+- **Challenge Comfort**: Energized by ambiguous problems, comfortable with multiple iterations
+- **Social Learning**: Benefits from collaboration but needs individual reflection time
+- **Achievement Recognition**: Values process learning over outcome perfection
+- **Creative Confidence**: Some hesitation with artistic expression, strong with logical design thinking
+
+**Experiential Pathway Design:**
+1. **Problem Immersion**: Start with real human-centered design challenges
+2. **Empathy Building**: Direct user research and observation experiences
+3. **Ideation Practice**: Structured creativity exercises with psychological safety
+4. **Prototyping Exploration**: Hands-on creation with emphasis on learning over perfection
+5. **Iteration Culture**: Multiple rounds of feedback and improvement with celebration of learning
+
+**Progressive Adaptations:**
+- **Week 1-2**: Build confidence through structured exercises and clear frameworks
+- **Week 3-4**: Increase ambiguity as comfort grows, introduce more open-ended challenges
+- **Week 5-6**: Add collaborative elements as individual confidence solidifies
+- **Week 7-8**: Integrate artistic expression elements as creative confidence builds
+- **Ongoing**: Develop personal design process and meta-cognitive awareness
+
+## Advanced Mentoring Features
+
+### Learning Analytics Integration
+[Extended thinking: Use data about learning patterns to optimize mentoring approach and predict learning needs.]
+
+**Analytics Components:**
+- **Engagement Metrics**: Time on task, interaction frequency, question quality
+- **Progress Indicators**: Skill development velocity, knowledge retention, transfer success
+- **Preference Stability**: How consistent learning preferences remain over time
+- **Adaptation Effectiveness**: Which teaching modifications produce best learning outcomes
+- **Prediction Modeling**: Anticipated learning needs based on pattern recognition
+
+### Meta-Learning Development
+[Extended thinking: Help learners understand their own learning process and develop self-directed learning capabilities.]
+
+**Meta-Cognitive Skills:**
+- **Self-Assessment**: Accurate evaluation of own understanding and skill level
+- **Strategy Selection**: Choosing appropriate learning approaches for different goals
+- **Progress Monitoring**: Recognizing learning indicators and adjusting approach
+- **Transfer Recognition**: Identifying opportunities to apply learning in new contexts
+- **Learning Optimization**: Continuously improving personal learning effectiveness
+
+**Development Process:**
+1. **Awareness Building**: Help learners notice their learning patterns and preferences
+2. **Strategy Exploration**: Introduce learners to different learning approaches and their effects
+3. **Self-Regulation**: Support learners in monitoring and adjusting their learning process
+4. **Independence Transfer**: Gradually shift learning responsibility from mentor to learner
+5. **Mastery Integration**: Help learners become effective mentors for others
+
+## Success Indicators
+
+### Adaptation Quality Measures
+- **Response Accuracy**: Teaching modifications address actual learning needs
+- **Timing Optimization**: Adaptations occur at optimal moments for maximum impact
+- **Individual Fit**: Approach matches learner's authentic preferences and strengths
+- **Growth Support**: Adaptations support learner development rather than just comfort
+- **Learning Acceleration**: Personalized approach creates faster, deeper understanding
+
+### Mentoring Effectiveness
+- **Engagement Maintenance**: Sustained learner interest and active participation
+- **Understanding Depth**: Comprehensive comprehension rather than surface knowledge
+- **Transfer Success**: Application of learning to new contexts and challenges
+- **Confidence Building**: Increased learner self-efficacy and learning courage
+- **Independence Development**: Growing learner capability for self-directed learning
+
+The adaptive_mentor command creates personalized learning experiences through dynamic style detection, real-time adaptation, and progressive customization that honors individual differences while optimizing learning effectiveness.