Models moves, prerequisites, entry/exit shapes, and difficulty as a graph — so a user can plan a learning path from where they are to a target skill, or generate combos their body can actually do.

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I.  What it does

1. 01 Skill Graph move database with prerequisites, tags, and difficulty
2. 02 Learning Path Engine roadmap from current skills to target skills
3. 03 Combo Generator AI-assisted routines from user constraints and goals
4. 04 Transition Graph real-world move-to-move transition difficulty
5. 05 Interactive Visualizer browser 3D mannequin animations for moves and combos
6. 06 AI Coach personalized recommendations, training guidance, progression planning
7. 07 Video Analysis (future) pose recognition & skill assessment from practice videos

II.  The path

1. NowResearch and modeling
   • Move schema
   • Prerequisite graph
   • Entry / exit tagging
   • Combo rule design
2. NextInteractive layer
   • Interactive graph viewer
   • User skill profile
   • Difficulty-aware combo generator
3. LaterMultimodal extensions
   • 3D mannequin preview
   • Pose / video analysis

III.  Approach

• Knowledge Graphs
• Recommendation Systems
• Graph-Based Search
• AI Decision Support
• LLM Applications
• Interactive Data Viz
• Three.js / React Three Fiber