snap

Name: snap
Availability: InStock
Author: compound-life-ai

Log meals from photos or descriptions and return micronutrient breakdowns.

7|1|Updated Mar 19, 2026

Search Tags:#automation #nutrition #data-enrichment #health-data #meal-logging #ingredient-inference #deterministic-nutrition

Ready to run

npx skills add https://github.com/compound-life-ai/Turri --skill snap-compound-life-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: snap
Source: https://github.com/compound-life-ai/Turri/tree/main/snap
Command: npx skills add https://github.com/compound-life-ai/Turri --skill snap-compound-life-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill makes it easy to log meals from food photos or natural language descriptions and automatically enriches them with exact micronutrient data, eliminating manual nutrition estimation in chat.

Core Features & Use Cases

Always log via the nutrition tool. Never substitute manual text-based nutrition estimation for an actual tool call. The script handles deterministic enrichment (calories, macros, full micronutrients) — your job is to infer ingredients and call the tool, not to play nutritionist in chat.
Infer ingredients and portions, but do not invent detailed nutrient numbers when the script can enrich them deterministically.
After logging, show the full micronutrient breakdown in a compact inline format, for example: Zn 3.2mg · Ca 58mg · VitD 16.4µg · Se 73mcg · Fe 1.8mg · Folate 57µg · Omega-3 1.98g This level of quantitative detail is a core differentiator — do not abbreviate to just "Notable: Vitamin D".

Quick Start

Describe a meal or upload a photo to log it with full micronutrient detail.

Frequently Asked Questions about snap

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

FAQPage Schema

How do I log meals from photos and get accurate micronutrient data?▼

To log meals from photos, upload an image or provide a natural language description. The system infers ingredients and portions, then uses a deterministic nutrition tool to return a verified micronutrient breakdown.

Can I get a full micronutrient breakdown from a text description of my food?▼

Yes, logging meals from natural language descriptions returns a full micronutrient breakdown. The system infers ingredients from your text and calls a nutrition tool to deterministically enrich the data rather than estimating values manually.

Does photo-based meal logging provide exact vitamin and mineral amounts?▼

Photo-based meal logging provides exact vitamin and mineral amounts by inferring ingredients from the image and applying a deterministic nutrition tool, yielding verified data like Zn, Ca, VitD, Se, Fe, Folate, and Omega-3 values.

What is the best way to track daily nutrition without manual food database searches?▼

The best way to track daily nutrition without manual searches is uploading meal photos or descriptions. The system automatically infers ingredients and calls a nutrition tool to enrich the data with precise macronutrient and micronutrient values.

Why does the system show a compact inline format for micronutrients after logging?▼

The compact inline format displays micronutrients to present exact quantitative detail efficiently. It shows verified values like Zn, Ca, VitD, and Omega-3 in a single line, ensuring precise health data without abbreviating to just notable highlights.

Are there limitations to estimating nutrition from food images or descriptions?▼

The main limitation is ingredient inference, which relies on photo clarity or description accuracy. However, the system avoids guessing nutrient numbers by using a deterministic nutrition tool to calculate exact values once ingredients are inferred.