diet-tracker
Tracks daily diet and calculates nutrition information to help achieve weight loss goals. Use when the user provides information about their meals and wants to track calorie and macronutrient intake. Also used to remind the user to log meals. This skill reads user's height, weight, age, gender and activity levels from USER.md to predict TDEE. Then based on daily calorie surplus or deficit, extrapolate weight changes.
Install
mkdir -p .claude/skills/diet-tracker && curl -L -o skill.zip "https://mcp.directory/api/skills/download/5048" && unzip -o skill.zip -d .claude/skills/diet-tracker && rm skill.zipInstalls to .claude/skills/diet-tracker
About this skill
Diet Tracker
This skill helps track daily diet and achieve weight loss goals with automated meal reminders.
Trigger Conditions
User might say:
- "I had [food] for lunch/dinner"
- "What's my remaining calorie budget?"
- "How many calories have I eaten today?"
- "Log my meal"
- "Check my diet progress"
Or automatically triggered by cron job for meal reminders.
Cron Job Integration
This skill works with automated cron jobs:
- Lunch reminder: ~12:30 (checks if lunch logged, sends reminder if not)
- Dinner reminder: ~18:00 (checks if dinner logged, sends reminder if not)
Cron job system event: 饮食记录检查:午餐 or 饮食记录检查:晚餐
User Profile (Required)
The skill reads from USER.md:
- Daily calorie target (default: 1650 kcal)
- Macronutrient targets (protein/carbs/fat)
- Height, weight, age, gender, activity level (for TDEE calculation)
Activity levels:
- Sedentary (little or no exercise)
- Lightly active (light exercise 1-3 days/week)
- Moderately active (moderate exercise 3-5 days/week)
- Very active (hard exercise 6-7 days/week)
- Extra active (very hard exercise + physical job)
Workflow
When User Logs a Meal:
- Identify food items from user's description
- Fetch nutrition data via
scripts/get_food_nutrition.py- MUST GET: calories(kcal), protein(g), carbs(g), fat(g)
- Searches web for calorie/protein/carbs/fat info
- Falls back to
references/food_database.jsonif needed - If complete nutrition data cannot be found, MUST clearly inform user of estimated values
- Update daily log via
scripts/update_memory.py- Saves to
memory/YYYY-MM-DD.md - RECORD FORMAT:
Food Name - XX kcal (P: XXg, C: XXg, F: XXg) - Calculates meal totals
- Updates daily running totals
- Saves to
- Report to user:
- MUST REPORT: calories + protein/carbs/fat grams
- Today's consumed / remaining calories
- MUST REPORT: Remaining macronutrient budgets
- Predicted weight change based on deficit/surplus
When User Asks for Status:
- Read current day's memory file
- Calculate totals consumed
- Report:
- Remaining calorie budget
- Remaining protein/carbs/fat (if targets set)
- Weight change prediction
Scripts
scripts/get_food_nutrition.py: Fetches nutrition info + calculates TDEEscripts/update_memory.py: Updates daily memory file with meal datareferences/food_database.json: Fallback database of common foods
Error Handling
Common Issues
Issue: "Cannot read USER.md" or missing user data
- Cause: User profile not configured
- Solution: Ask user for height, weight, age, gender, activity level, and calorie target
Issue: Nutrition lookup fails for uncommon foods
- Cause: Food not found in online databases
- Solution: Ask user for approximate calorie count or use similar food from database
Issue: Multiple food items in one meal
- Cause: User says "I had pizza, salad, and coke"
- Solution: Process each item separately, sum the nutrition values
Data Format
Daily Memory Entry (memory/YYYY-MM-DD.md)
REQUIRED FORMAT — Must include calories + macronutrients:
## Diet Log
**Breakfast**: [food] - [X] kcal (P: [X]g, C: [X]g, F: [X]g)
**Lunch**: [food] - [X] kcal (P: [X]g, C: [X]g, F: [X]g)
**Dinner**: [food] - [X] kcal (P: [X]g, C: [X]g, F: [X]g)
**Daily Total**: [X] / [target] kcal
- Protein: [X] / [target]g (remaining: [X]g)
- Carbs: [X] / [target]g (remaining: [X]g)
- Fat: [X] / [target]g (remaining: [X]g)
**Predicted weight change**: [-/+ X] kg
⚠️ Strictly prohibited to record only calories while omitting macronutrient grams!
Progressive Disclosure
- Level 1 (frontmatter): Skill activation criteria
- Level 2 (SKILL.md): Full workflow instructions (this file)
- Level 3 (references/): Food database and nutrition guidelines
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