Log meals and track daily nutrition from photos or text.
npx skills add https://github.com/sepivip/SeekerClaw --skill calclaw
Please help me install this Agent Skill. Skill: calclaw Source: https://github.com/sepivip/SeekerClaw/tree/main/app/src/main/assets/default-skills/calclaw Command: npx skills add https://github.com/sepivip/SeekerClaw --skill calclaw
This Skill helps users track nutrition by logging meals and analyzing food via photos or text, reducing manual entry and enabling precise macro tracking.
Log a meal by uploading a photo or typing a description to auto-log your intake.
High-intent search queries and answers about installing and using this skill.
Meal logging works by uploading a food photo or entering a text description, which the AI analyzes to automatically extract and record nutritional data. This reduces manual entry while maintaining accurate daily macro tracking.
AI photo analysis identifies food items in your meal images to estimate calorie and macro content. This data is saved to local storage, allowing you to generate daily and weekly dashboards showing your nutritional intake against targets.
Yes, you can log meals, track calories, and record weight metrics using local dashboards. The system stores your data locally, enabling you to configure personalized macro targets and monitor your progress across daily and weekly views.
The best way to reduce manual entry is using AI-assisted meal logging via photo analysis or text descriptions. This approach automatically calculates your calories, protein, carbs, and fat, eliminating the need to search for individual food items manually.
AI nutrition tracking relies on local data storage for your dashboards, targets, and weight logs, but photo analysis requires AI processing. Your logged data persists locally, ensuring you retain access to your historical nutrition records without continuous connectivity.
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