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NanoRhino
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exercise-logging

Log workouts from natural language or device data with MET-based calorie estimates.

Updated Aug 23, 2026
Search Tags:#workout#exercise#log#calories#device-data#weekly-summary#met
One-click install
npx skills add https://github.com/NanoRhino/weight-loss-skill --skill exercise-logging
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exercise-logging
Source: https://github.com/NanoRhino/weight-loss-skill/tree/main/exercise-logging
Command: npx skills add https://github.com/NanoRhino/weight-loss-skill --skill exercise-logging

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Tracks workouts and exercise, estimates calories burned, and gives practical fitness feedback. Use when user logs a workout, describes physical activity, uploads a fitness tracker screenshot, or mentions exercise they did. Trigger phrases include "I ran...", "I did...", "just finished...", "log my workout", "went to the gym", "played basketball", "walked for...", "swam...", "lifted weights" (and equivalents in any language). Even casual mentions of physical activity ("took the stairs", "biked to work", "went for a stroll") should trigger this skill. Also trigger when user uploads or pastes data from fitness devices (Apple Watch, Garmin, Strava, etc.) or asks for a weekly exercise summary. When in doubt about whether something is an exercise log, trigger anyway — it's better to ask than to miss a log.

Core Features & Use Cases

  • Log and categorize workouts and activities from natural language or device data
  • Estimate calories burned using MET-based calculations and provide goal-aligned feedback
  • Generate weekly summaries and support multi-activity logs (e.g., run + stretch)

Quick Start

Log a 30-minute run and see your calories, activity breakdown, and feedback.

Frequently Asked Questions about exercise-logging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I log workouts and estimate calories burned from natural language?▼

You can log workouts and estimate calories burned by providing natural language descriptions of physical activity. The system applies MET-based calculations to generate automatic calorie estimates and returns a standardized JSON exercise log.

Can I use fitness tracker data from Apple Watch or Garmin to log exercises?▼

Yes, you can log exercises using fitness tracker data from Apple Watch, Garmin, or Strava. Simply upload or paste the device data, and the system categorizes the activity and structures it into a standardized exercise log with calorie estimates.

How are calories calculated for different types of physical activities?▼

Calories for different physical activities are calculated using MET-based estimation. This method applies metabolic equivalent values to activities like running, cycling, weightlifting, or yoga to generate consistent calorie burn estimates.

Does exercise logging support multi-activity entries and weekly summaries?▼

Yes, exercise logging supports multi-activity entries and weekly summaries. You can log combined activities such as a run plus stretching session, and generate a weekly summary to review structured exercise data and goal-aligned feedback.

What is the best way to log daily activity and casual exercise mentions?▼

The best way to log daily activity and casual exercise is to mention the physical activity naturally, such as taking the stairs or biking to work. The system triggers on casual mentions and structures them into standardized exercise logs with calorie estimates.

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