Calorie Visualizer

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name: calorie-visualizer description: Local calorie logging and visual reporting (auto-refreshes and returns report image after each log) metadata: openclaw: emoji: "📊" os: - darwin - linux requires: bins: - python3

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Calorie Visualizer

A local skill for meal logging and visual nutrition analysis.

Core Flow

1. User sends meal text/photo (upstream extracts calorie/protein values or calls food-db lookup). 2. add (or add-food) writes to calorie_data.db. 3. After write, visual_renderer.py generates a fresh report image. 4. CLI prints REPORT_IMAGE: so the chat layer can send the image.

Daily Goal Priority

1. config.daily_goal (manual override) 2. TDEE derived from USER.md 3. If user explicitly refuses profile data: logging only, no repeated prompting 4. Fallback default in renderer: 2000 kcal

CLI Commands

# Add a meal with explicit nutrition values
python3 scripts/calorie_visualizer.py add "food name" 500 25 [--photo /path/to/image.jpg]
Add from local food database (local-first, online fallback optional)
python3 scripts/calorie_visualizer.py add-food "Subway chicken sandwich" --multiplier 1.0
python3 scripts/calorie_visualizer.py add-food "rice" --offline
Daily summary
python3 scripts/calorie_visualizer.py summary
Regenerate report image
python3 scripts/calorie_visualizer.py report
Config
python3 scripts/calorie_visualizer.py config daily_goal 2000
python3 scripts/calorie_visualizer.py config user_refused_profile True

Dependencies

cd skills/calorie-visualizer
python3 -m pip install -r requirements.txt

Python libs: html2image, Pillow

Online fallback: optional USDA API (USDA_API_KEY)

Database: SQLite (built into Python)

Rendering: requires system Chromium/Chrome (called by html2image)

Storage

calorie_data.db (local SQLite)

No automatic external sync