type: custom

customType: model-snapshot

provider: anthropic

modelApi: anthropic-messages


type: message

role: user

type: text

text:
[Mon 2026-02-16 06:31 UTC] A subagent task "fitness-buddy-builder" just completed successfully.

Findings:
## ✅ AI Fitness Buddy Prototype Complete!

I've built a fully functional fitness dashboard with the following:

### 📁 Project Structure
```
fitness-buddy/
├── dashboard/                 # Next.js 14 Web App
│   ├── app/
│   │   ├── page.tsx          # Main dashboard with all widgets
│   │   ├── layout.tsx        # Root layout
│   │   └── globals.css       # Custom dark gym theme
│   └── components/
│       ├── Header.tsx        # Workout timer & status
│       ├── CalendarWidget.tsx # Monthly calendar with workout days
│       ├── StatsWidget.tsx   # Weekly stats, streaks, PRs
│       ├── VideoArea.tsx     # Camera feed + tutorial tabs
│       ├── WorkoutTracker.tsx # Exercise list & set progress
│       ├── RestTimer.tsx     # Circular countdown timer
│       └── CoachFeedback.tsx # AI coach with typewriter effect
├── pose-service/             # Python FastAPI + MediaPipe
│   ├── main.py              # FastAPI server with WebSocket
│   ├── pose_analyzer.py     # Rep counting & form analysis
│   └── exercises.py         # Configs for 6 exercises
├── setup.sh                  # Install all dependencies
├── start.sh                  # Launch both services
└── README.md                 # Full documentation
```

### 🎨 Features Built
- **Dark gym aesthetic** - Green accent (#00ff88), dark backgrounds
- **Rep counter** - Animated with progress ring
- **Form score display** - Color-coded feedback (green/yellow/red)
- **Pose wireframe visualization** - SVG skeleton overlay
- **Coach feedback** - Typewriter effect, emoji support
- **Rest timer** - 30/60/90/120s presets, circular progress
- **Calendar** - Interactive with workout day markers
- **Stats** - Streak counter, calories, PRs
- **WebSocket integration** - Real-time pose data streaming
- **Mock data fallback** - Works without camera/pose service

### 🚀 To Run
```bash
cd /home/crogers2287/.openclaw/agents/waffleson/projects/fitness-buddy

# One-time setup
./setup.sh

# Start both services
./start.sh
# Dashboard: http://localhost:3000
# Pose API:  http://localhost:8765
```

### 📝 Notes
- **Dashboard verified**: Build succeeds (✓ Compiled successfully)
- **Demo mode**: Dashboard shows animated mock data if pose service isn't connected
- **6 exercises configured**: Squat, Push-up, Lunge, Plank, Deadlift, Bicep Curl
- **Production-optimized**: 102kB first load, static generation enabled

The dashboard is TV-ready with large fonts, high contrast, and a 1080p-optimized layout!

Stats: runtime 7m14s • tokens 112.5k (in 186 / out 31.0k) • sessionKey agent:waffleson:subagent:f5416351-e6a1-409a-960d-54d3bc518a96 • sessionId d1cc8755-d5f9-4517-bbc2-6a92fcacf4ae • transcript /home/crogers2287/.openclaw/agents/waffleson/sessions/d1cc8755-d5f9-4517-bbc2-6a92fcacf4ae.jsonl

Summarize this naturally for the user. Keep it brief (1-2 sentences). Flow it into the conversation naturally.
Do not mention technical details like tokens, stats, or that this was a subagent task.
You can respond with NO_REPLY if no announcement is needed (e.g., internal task with no user-facing result).


role: assistant

type: thinking

thinking: The user asked me to build a fitness buddy prototype, and the subagent completed it successfully. I should summarize this naturally and briefly for the user - they'll want to know it's done and how to use it.

text: Your AI Fitness Buddy dashboard is ready! 🏋 It's a dark-themed Next.js app with rep counting, form scoring, a pose wireframe overlay, rest timers, and an AI coach with typewriter feedback — all TV-optimized. Run `./start.sh` from `projects/fitness-buddy` to launch it at localhost:3000.

api: anthropic-messages

stopReason: stop