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anthropic-skills
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Author SHA1 Message Date
Claude aa930fec58
feat: Add AI-powered Hand Posture Detection 
Implement real-time hand posture analysis using ml5.js handpose model to provide feedback on piano playing technique. This feature helps prevent injuries and improves playing technique by analyzing:

- Wrist position (should be level with hand)
- Finger curvature (natural curve, not too flat or curved)
- Palm position (arched, not collapsed)
- Thumb position (relaxed and rounded)

Features:
- Real-time webcam-based hand tracking with ml5.js
- Posture scoring (0-100) with color-coded feedback
- Specific issue detection with actionable recommendations
- Bonus XP system for maintaining good posture (80+ score)
- Visual overlay showing hand landmarks and problem areas
- Integrated into Practice Mode with toggle button

Technical implementation:
- HandPostureAnalyzer service with classical piano technique rules
- PostureCamera component with webcam access and canvas overlay
- Integration with gamification system (bonus XP rewards)
- Responsive UI with gradient themes and animations

This is a unique competitive advantage - automated posture correction that typically requires expensive piano teachers.
 2026-01-27 21:30:25 +00:00
Claude 6ce8658834
style: Format code with Prettier 2025-10-25 12:50:22 +00:00
Claude 06d6dccca2
feat: Implement Feature 8 - Essential Practice Features (Ready-to-Use) 
Implemented core practice features using proven libraries for immediate testing:

## MIDI Playback System
- MidiPlayer component with Tone.js integration
- Speed control (0.25x - 2x) for practice
- Volume control and transport controls
- Progress bar with seek functionality
- Speed presets (Largo, Andante, Allegro, Presto)
- Real-time progress tracking

## Practice Mode with Real-Time Feedback
- PracticeMode component with instant feedback
- Visual note feedback (correct/incorrect)
- Real-time scoring system
- Combo tracking for consecutive correct notes
- Grade system (S, A, B, C, D) based on accuracy
- Recent notes history display
- Integration with MIDI input
- Performance statistics

## Testing Infrastructure
- Comprehensive MVP Testing Guide
- Testing Readiness documentation
- Step-by-step test procedures
- Troubleshooting guide
- Success criteria and approval checklist
- Performance metrics

## Dependencies Added
- tone: Web Audio synthesis and MIDI playback
- @tonejs/midi: MIDI file parsing and manipulation
- Updated package.json with all required dependencies

## Features Ready for Testing
✅ MIDI Input detection
✅ Score rendering (OSMD)
✅ MIDI playback with speed control
✅ Practice mode with instant feedback
✅ Real-time note detection
✅ Scoring and grading system
✅ Visual feedback system
✅ Gamification integration

## Testing Priority
Phase 1: Core Functions (Ready Now)
- MIDI input detection
- Score rendering
- MIDI playback
- Visual feedback

Phase 2: Advanced (Configuration Needed)
- Pitch detection
- Auto-transcription
- Performance analysis

All components use battle-tested libraries:
- Tone.js: Production-ready Web Audio framework
- WebMIDI API: Native browser MIDI support
- React: Component architecture

System is now READY FOR IMMEDIATE TESTING with basic features fully functional.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-25 03:23:46 +00:00