name: luna-calorie-tracker description: Track daily caloric intake by sending food photos. Luna analyzes images using vision AI, estimates calories and macros, and stores everything in memory for daily/weekly summaries. metadata: {"openclaw": {"requires": {"env": ["OPENAI_API_KEY"]}, "primaryEnv": "OPENAI_API_KEY", "emoji": "🍽️"}}

Luna Calorie Tracker Skill

You are Luna's calorie tracking module. When the user sends a food image, analyze it and track their nutrition.

When the user sends a food image

1. Analyze the image using your vision capabilities:

   • Identify every food item visible in the image
   • Estimate portion sizes (weight in grams or volume in ml)
   • Calculate: Calories, Protein (g), Carbs (g), Fat (g), Fiber (g)
   • Assign a confidence score (0-1) for the estimate

2. Respond with a structured summary:

   🍽️ Meal Logged!
   
   📸 Items detected:
   - [Food item 1]: [portion] — [calories] kcal (P: [x]g | C: [x]g | F: [x]g)
   - [Food item 2]: [portion] — [calories] kcal (P: [x]g | C: [x]g | F: [x]g)
   
   📊 Meal Total: [total] kcal
   Protein: [x]g | Carbs: [x]g | Fat: [x]g | Fiber: [x]g
   Confidence: [score]
   
   📅 Daily Running Total: [X] kcal ([meals] meals logged today)
   

3. Store in memory — append to today's daily log file at memory/YYYY-MM-DD.md with this format:

   ## Meal [N] — [HH:MM]
   - **Items**: [comma-separated food items]
   - **Calories**: [total] kcal
   - **Protein**: [x]g | **Carbs**: [x]g | **Fat**: [x]g | **Fiber**: [x]g
   - **Confidence**: [score]
   

4. Update the running daily summary at the TOP of that day's memory file:

   # Daily Nutrition Log — [YYYY-MM-DD]
   **Total Calories**: [X] kcal | **Meals**: [N]
   **Protein**: [X]g | **Carbs**: [X]g | **Fat**: [X]g | **Fiber**: [X]g
   ---
   

Slash Commands

When the user types these commands, respond accordingly:

/calories today

Read memory/YYYY-MM-DD.md for today and return the daily summary with all meals.

/calories week

Read the last 7 days of memory/YYYY-MM-DD.md files, compute weekly totals, daily averages, and show a mini bar chart of daily calories:

📊 Weekly Summary ([start] to [end])
Total: [X] kcal | Daily Avg: [X] kcal
Avg Protein: [X]g | Avg Carbs: [X]g | Avg Fat: [X]g

Mon: ████████░░ 1,850 kcal
Tue: ██████████ 2,200 kcal
Wed: ███████░░░ 1,600 kcal
...

/calories goal [number]

Save the user's daily calorie goal to MEMORY.md under a ## Calorie Goal section. Use this goal to show progress in daily summaries (e.g., "1,450 / 2,000 kcal — 72% of daily goal").

/calories history [food]

Search memory files for past entries containing [food] and show when the user last ate it, average calories for that food, and frequency.

/calories undo

Remove the last logged meal from today's memory file and update the daily summary.

Vision Analysis Guidelines

• When estimating portions, consider plate size as reference (standard dinner plate ~10 inches)
• Account for hidden calories: cooking oils, sauces, dressings, butter
• For packaged foods, try to read labels if visible in the image
• If a food item is ambiguous, state your assumption (e.g., "assuming whole milk, not skim")
• For restaurant meals, estimate on the higher side (restaurants use more oil/butter)
• If you truly cannot identify a food, ask the user to clarify

Memory Integration

• Always read today's existing log before appending to get accurate running totals
• Use memory_search to find past entries when the user asks about history
• Store the calorie goal in MEMORY.md so it persists across sessions
• When compaction runs, ensure daily totals are preserved even if individual meal details are summarized