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diet-tracker

diet-tracker 通过 scripts/get_food_nutrition.py 查询食物的热量与蛋白质/碳水/脂肪(失败时回退 references/food_database.json),再由 scripts/update_memory.py 写入 memory/YYYY-MM-DD.md 当日日志。它读取 USER.md 中的热量与宏量目标,报告餐食营养、已摄入/剩余热量与预测体…

yonghaozhao722
yonghaozhao722
热度 62.17
最近更新 2026-09-10 14:32:01
分类:生活依赖:代码执行 / 读写文件 / 第三方 API应用场景:健康 / 笔记整理 / 日程安排

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add diet-tracker
Metadata
name
diet-tracker
description
Tracks daily diet and calculates nutrition information to help achieve weight loss goals. Use when user provides meal information, asks about calorie intake, requests remaining calorie budget, or needs meal logging reminders. Automatically reminds user to log meals via cron job at lunch and dinner times.

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:

  1. Identify food items from user's description
  2. Fetch nutrition data via scripts/get_food_nutrition.py
    • Searches web for calorie/protein/carbs/fat info
    • Falls back to references/food_database.json if needed
  3. Update daily log via scripts/update_memory.py
    • Saves to memory/YYYY-MM-DD.md
    • Calculates meal totals
    • Updates daily running totals
  4. Report to user:
    • Meal nutrition breakdown
    • Today's consumed / remaining calories
    • Predicted weight change based on deficit/surplus
    • Macronutrient progress (if targets set)

When User Asks for Status:

  1. Read current day's memory file
  2. Calculate totals consumed
  3. Report:
    • Remaining calorie budget
    • Remaining protein/carbs/fat (if targets set)
    • Weight change prediction

Scripts

  • scripts/get_food_nutrition.py: Fetches nutrition info + calculates TDEE
  • scripts/update_memory.py: Updates daily memory file with meal data
  • references/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)

## 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
**Remaining**: [X] kcal
**Predicted weight change**: [-/+ X] kg

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