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weekly-coaching

Analyze weekly user feedback to generate personalized nutritional adjustments.

Updated Aug 23, 2026
Search Tags:#coaching#health#nutrition#meal plan#adherence#weight loss
One-click install
npx skills add https://github.com/mzt-76/AI-nutrition --skill weekly-coaching
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: weekly-coaching
Source: https://github.com/mzt-76/AI-nutrition/tree/main/skills/weekly-coaching
Command: npx skills add https://github.com/mzt-76/AI-nutrition --skill weekly-coaching

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users stay on track with their nutrition goals by analyzing their weekly progress, identifying patterns, and suggesting personalized adjustments to their meal plans.

Core Features & Use Cases

  • Weekly Check-in: Users report their weight, adherence, and well-being.
  • Trend Analysis: The skill analyzes weight trends, metabolic adaptation, and adherence patterns.
  • Personalized Adjustments: Suggests changes to calorie and macronutrient intake based on scientific principles and user feedback.
  • Red Flag Detection: Identifies critical warning signs related to health and well-being.
  • Use Case: After a week of following a meal plan, a user reports their weight, how much of the plan they followed, and their energy levels. The skill then provides feedback on their progress and suggests if they should increase or decrease their calorie intake for the next week.

Quick Start

Use the weekly-coaching skill to calculate adjustments with your weight start of 87.0kg, weight end of 86.4kg, and 85% adherence.

Frequently Asked Questions about weekly-coaching

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

FAQPage Schema
How do I adjust my meal plan based on weekly nutrition feedback?▼

To adjust your meal plan, input your starting weight, ending weight, and weekly adherence percentage. The system analyzes this feedback alongside hunger and energy levels to suggest targeted calorie and macronutrient changes.

What is metabolic adaptation and how does trend analysis detect it?▼

Metabolic adaptation is identified through historical trend analysis of your weekly weight and adherence data. The system detects these physiological shifts and adherence patterns to accurately recommend dietary adjustments for ongoing coaching.

Can I use weekly check-in data to detect health red flags?▼

Yes, the weekly check-in process includes red flag detection. It analyzes your self-reported energy, sleep, and hunger metrics alongside weight trends to identify critical warning signs related to your health and well-being.

Do I need to track my sleep and energy levels for weight loss adjustments?▼

Yes, tracking sleep and energy is required. The skill applies robust data validation to these well-being metrics, along with weight and adherence, to generate accurate weight loss adjustments based on your real-world outcomes.

What's the best way to calculate calorie changes with less than perfect adherence?▼

The skill calculates calorie changes by applying adherence pattern detection to your weekly data. Inputting an 85% adherence rate adjusts the scientific recommendations to accurately match your actual dietary consistency.

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