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OpenClaw AI Nutrition Analysis: Log Meal Photos with Haver

This case uses openclaw-nutrition and Haver so users can log meals from chat or food photos into daily calorie and macro records without manual diary entry.

Updated: 2026-03-25

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Target users

What it does

openclaw-nutrition uses the Haver backend to accept meal text or food photos, log calories and macros, and store entries in date-based daily nutrition records. The same flow also supports weight tracking, daily summaries, and AI coaching.

Skills You Need

  • openclaw-nutrition

Pain Point

The core problem with food tracking is not nutrient lookup but logging friction. Users have to reopen an app, search foods, estimate portions, and maintain a diary several times a day, which is where the habit breaks down.

Core value of this case

Nutrition tracking becomes a natural OpenClaw conversation instead of a separate diary workflow. A user can send a sentence or a meal photo, have the system log it automatically, and continue directly into summaries or coaching without switching tools.

Typical scenarios

  • A personal user logs breakfast and lunch with short text or meal photos and checks remaining calories and macros later in the day.
  • A nutrition coach gives clients a conversational logging flow first, then reviews summaries instead of chasing manual food diaries.
  • A wellness builder prototypes a camera-first nutrition coach with this skill before investing in a dedicated mobile app.

How to setup

  1. Install the skill with clawhub install Yuvasee/openclaw-nutrition, or add openclaw-nutrition from ClawHub.
  2. Register with Haver using POST /api/register and obtain the per-user API key prefixed with hv_.
  3. Complete onboarding by setting timezone, profile data, activity level, and nutrition goals.
  4. Start logging meals with POST /api/me/nutrition/log; the skill docs show that this endpoint can take text and optional images.
  5. Use GET /api/me/nutrition/summary to pull daily or range-based summaries once entries have been logged.
  6. You can also use the Telegram bot @haver_sheli_bot as a hosted entry point for the same backend._

Related Links

  • Haver
  • ClawHub: openclaw-nutrition
  • GitHub: Yuvasee/openclaw-nutrition
  • Telegram: @haver_sheli_bot
  • OpenClaw Docs: Skills CLI

FAQ

Does it support food-photo input?

Yes. Haver explicitly advertises photo recognition, and the skill docs show POST /api/me/nutrition/log and POST /api/me/chat with optional images.

Does it automatically write to Google Sheets or n8n?

There is no documented Google Sheets or n8n integration. The documented behavior is automatic logging into Haver's nutrition-tracking backend, plus summaries and coaching flows.

What are the documented limits?

It is not a medical nutrition tool and does not cover workout logging, water tracking, barcode scanning, or deleting logged meals. It fits daily nutrition tracking better than a full health-record system.

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Sources

  • Reference: Haver
  • Reference: ClawHub: openclaw-nutrition
  • Repository: GitHub: Yuvasee/openclaw-nutrition
  • Reference: Telegram: @haver_sheli_bot
  • Reference: OpenClaw Docs: Skills CLI
Category: automation-integration
Difficulty: Intermediate
#food-photo-analysis
#nutrition-tracking
#meal-logging
#calorie-logging
#health-coaching
Nutrition coaches
Health-conscious users
Wellness product teams