Can it help with body composition goals?

Yes, it prioritizes protein and consistency adherence specifically for recomposition-oriented goals and can escalate to the body-composition skill for deeper physique analysis.

What is the tone of the generated reports?

The skill operates like a quantitative analyst, providing numbers-first insights and brief context without unnecessary fluff.

How does this skill access my nutrition data?

It uses the yazio-mcp server to securely pull your daily summaries, consumed items, and hydration logs directly into the Claude environment for analysis.

Does it provide meal recommendations?

While its primary focus is quantitative analysis, it can cross-reference your personal resource files to provide informed suggestions based on your specific protocols and beliefs.

What timeframe can it analyze?

It can analyze daily snapshots, 7-14 day trends for direct questions, or up to 30-day windows for broader nutritional deep dives.

Yazio Nutrition & Diet Intelligence

Name: Yazio Nutrition & Diet Intelligence
Author: Rachnog

byRachnog

•

Analytics & Monitoring

Analyzes nutrition data from Yazio to provide deep insights into caloric adherence, macronutrient distribution, and hydration patterns.

This skill serves as a dedicated nutrition analyst within the Claude Code environment, integrating directly with Yazio via Model Context Protocol (MCP). It moves beyond simple logging by evaluating raw data against specific body protocols, long-term numerical targets, and behavioral patterns like meal distribution and tracking consistency. It is designed for users following a data-driven health regimen who require quantitative feedback on how their daily intake behavior aligns with their fitness and body composition goals.

Key Features

01Automated adherence analysis against protein, carb, fat, and hydration targets.

02Meal distribution analysis across breakfast, lunch, dinner, and snacks.

03Historical trend evaluation covering 7 to 30-day windows.

043 GitHub stars

05Deep integration with Yazio MCP for real-time calorie and macro tracking.

06Consistency scoring and streak proxy derivation to monitor logging habits.

Use Cases

01Reviewing weekly nutritional adherence and variance against specific body composition goals.

02Identifying patterns in macro under-targeting or high day-to-day calorie fluctuations.

03Performing a deep-dive analysis into hydration levels and meal timing consistency.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rachnog/alex-honchar-claude-for-life body-diet

For use in Claude.ai and ChatGPT

Key Features

01Automated adherence analysis against protein, carb, fat, and hydration targets.

02Meal distribution analysis across breakfast, lunch, dinner, and snacks.

03Historical trend evaluation covering 7 to 30-day windows.

043 GitHub stars

05Deep integration with Yazio MCP for real-time calorie and macro tracking.

06Consistency scoring and streak proxy derivation to monitor logging habits.

Use Cases

01Reviewing weekly nutritional adherence and variance against specific body composition goals.

02Identifying patterns in macro under-targeting or high day-to-day calorie fluctuations.

03Performing a deep-dive analysis into hydration levels and meal timing consistency.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rachnog/alex-honchar-claude-for-life body-diet

For use in Claude.ai and ChatGPT