clawcoach-foodFood photo analysis and meal logging for ClawCoach. Send a photo of your meal and get instant macro breakdown via Claude Vision.
Install via ClawdBot CLI:
clawdbot install authoredniko/clawcoach-foodGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/clawcoach/clawcoachAudited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
Individuals use the skill to log daily meals via photos or text for calorie and macro tracking, helping them monitor nutrition against personal targets. It supports weight management, fitness goals, and dietary awareness through automated analysis and confirmation flows.
Fitness coaches integrate the skill into client management to track meal compliance and provide nutritional feedback. Coaches can review logged data to adjust diet plans and offer personalized advice based on macro breakdowns and daily totals.
Companies deploy the skill as part of employee wellness initiatives to promote healthy eating habits. Employees log meals to access nutrition insights, with aggregated data helping organizations assess program effectiveness and tailor health resources.
Researchers use the skill to collect anonymized meal data for studies on eating patterns and nutrition trends. The structured logging and macro calculations provide reliable datasets for analyzing dietary habits across populations.
Users apply the skill to analyze photos of homemade or restaurant meals to estimate nutritional content, aiding in meal planning and recipe optimization. It helps individuals balance macros and calories for healthier eating choices.
Offer basic photo analysis and logging for free, with premium features like advanced macro tracking, historical data analytics, and integration with fitness apps via a monthly subscription. Revenue comes from tiered plans targeting casual users and fitness enthusiasts.
License the skill's technology to health and fitness platforms, such as app developers or corporate wellness providers, for embedding meal logging capabilities. Revenue is generated through licensing fees or per-user charges based on integration scale.
Aggregate anonymized meal data to provide insights to food brands, healthcare providers, or research institutions. Revenue comes from selling anonymized analytics reports or forming partnerships for targeted health promotions and product development.
💬 Integration Tip
Ensure the ANTHROPIC_API_KEY is set in the environment for Claude Vision access, and maintain consistent file paths for data storage to avoid errors in logging and retrieval.
Scored Apr 19, 2026
Precise food & exercise data for AI agents — not LLM guesses. 16k foods (180 nutrients from USDA/NUTTAB/CNF2015/MEXT/FRIDA), 3M branded products with barcode...
Searches nutrition facts, food scores, and packaged product data via public AI-friendly endpoints. Invoke when users ask to find, compare, or inspect foods,...
AI美食推荐助手 - 智能餐厅推荐、菜品点评、美食攻略、订餐服务
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