healthy-eating_skill

This skill helps you build healthy eating habits by logging meals, tracking nutrition, and receiving practical, no calorie counting guidance.
  • Python

2.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill healthy-eating

  • _meta.json282 B
  • SKILL.md2.0 KB

Overview

This skill helps you build sustainable healthy eating habits through simple meal logging, nutrition tracking, and context-aware food suggestions. It emphasizes practical choices and habit formation over obsessive calorie counting. The tool focuses on food quality, satiety, and consistency while keeping data local and private.

How this skill works

Log meals quickly with time, portion, meal context, and short notes about how you felt. The skill analyzes nutrient breakdowns (proteins, fats, carbs, fiber, and key micronutrients), hydration, and patterns over time. It generates personalized suggestions, quick swaps, and meal ideas based on available ingredients and situational context. Weekly planning and batch-prep guidance help translate insights into sustained behavior change.

When to use it

  • After every meal to capture accurate eating patterns
  • When you want healthy meal ideas based on ingredients you already have
  • To check daily nutrient totals and hydration status without obsessive counting
  • While planning weekly meals and batch-prep sessions
  • To review eating patterns and identify triggers or improvements

Best practices

  • Log meals immediately or within the same day to preserve accuracy
  • Include a short note on satiety and mood to link food to outcomes
  • Pair a protein and vegetables at main meals to improve fullness and energy stability
  • Plan weekly meals ahead (e.g., Sunday) to reduce decision fatigue during busy weekdays
  • Use context-aware suggestions (late night, social event) to pick realistic swaps

Example use cases

  • Quickly log a snack after a busy work meeting and note if you were still hungry
  • Ask for healthy meal ideas using items in your fridge (eggs, spinach, quinoa)
  • Get a low-effort batch-prep plan for lunches to cover a 5-day workweek
  • Request context-aware swaps when dining out or during late-night cravings
  • Review a 2-week pattern to identify emotional eating triggers and celebrate consistency milestones

FAQ

No. The focus is on food quality, satiety, and sustainable habits rather than strict calorie counting.

Where is my data stored?

All data stays local on your machine by design to protect privacy and control.

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