Analyze food images and nutrition labels for glycemic and ingredient-risk insights.
npx skills add https://github.com/mickpletcher/AI-Skills --skill food-analyzer
Please help me install this Agent Skill. Skill: food-analyzer Source: https://github.com/mickpletcher/AI-Skills/tree/main/claude/skills/food-analyzer Command: npx skills add https://github.com/mickpletcher/AI-Skills --skill food-analyzer
It helps you understand what you’re eating by turning food photos and nutrition labels into actionable nutrition, glycemic, processing, and interaction-aware insights, with clear confidence and practical recommendations.
Send a food photo or a Nutrition Facts label image and ask: analyze it for blood sugar control with a quick summary first.
High-intent search queries and answers about installing and using this skill.
To analyze nutrition labels and food photos for glycemic impact, submit images of meals or Nutrition Facts panels to receive extracted calorie estimates, macro breakdowns, and processing-level evaluations tailored to your health goals.
Yes, you can compare two foods side-by-side for blood sugar control by providing images or ingredient lists of both items to receive a contrastive nutritional and glycemic evaluation aligned with your stated health mode.
Goal-aware nutrition analysis reframes food evaluation based on specific targets like fat loss, endurance fueling, muscle gain, or blood sugar control, providing tailored insights instead of generic nutritional summaries.
Yes, the food analyzer flags medication interactions and ingredient risks by evaluating visible allergens, additives, and potential conflicts from provided ingredient lists or food images with explicit confidence labeling.
To review repeated meal patterns and meal timing guidance, submit multiple meal entries over time to identify nutritional trends, processing levels, and glycemic impacts across your dietary history.
When analyzing food images with missing ingredient data, the tool applies guardrails to avoid fabricating missing facts, providing explicit confidence labeling and practical recommendations only for visible or inferred nutritional elements.
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