- name
- calorie-visualizer
- description
- Local calorie logging and visual reporting (auto-refreshes and returns report image after each log)
- metadata
- openclaw
- emoji
- 📊
- os
- requires
- bins
Calorie Visualizer
A local skill for meal logging and visual nutrition analysis.
Core Flow
- User sends meal text/photo (upstream extracts calorie/protein values or calls food-db lookup).
add(oradd-food) writes tocalorie_data.db.- After write,
visual_renderer.pygenerates a fresh report image. - CLI prints
REPORT_IMAGE:<path>so the chat layer can send the image.
Daily Goal Priority
config.daily_goal(manual override)- TDEE derived from
USER.md - If user explicitly refuses profile data: logging only, no repeated prompting
- 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 TrueDependencies
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