An intelligent meal planning and inventory tracking agent that suggests 25-minute recipes based on household preferences and current stock.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install meal-suggester
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install meal-suggester using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Meal Suggester?
The Meal Suggester is a specialized automation tool designed to streamline household cooking and pantry management. As part of the broader ecosystem of Openclaw Skills, it bridges the gap between ingredient tracking and daily recipe discovery. It leverages markdown-based files to maintain a live inventory of your kitchen while simultaneously honoring complex taste profiles for multiple users.
By using this skill, developers and home chefs can eliminate decision fatigue through personalized, time-sensitive suggestions that learn from feedback. The system is designed to respect dietary restrictions and time constraints, ensuring every suggested meal can be prepared in 25 minutes or less while utilizing ingredients already on hand.
Meal Suggester Use Cases
- Planning quick weeknight dinners that require 25 minutes or less.
- Maintaining a real-time digital inventory of kitchen stock using Openclaw Skills.
- Synchronizing dietary preferences and dislikes between multiple household members.
- Automating the generation of shopping lists based on consumed ingredients.
- Implementing a feedback-driven recipe rotation to ensure variety and avoid monotony.
How Meal Suggester Works
- The skill parses the current kitchen stock from the inventory/stock.md file.
- It analyzes the preference profiles of all household members to identify compatible flavor profiles.
- The agent tracks ingredient usage through natural language input to keep the inventory updated.
- When stock runs low, it automatically identifies necessary items and populates the shopping list.
- It generates a recipe suggestion that uses available ingredients and meets the 25-minute prep time constraint.
- The suggestion is logged to a history file, where user feedback is used to improve future recommendations from Openclaw Skills.
Meal Suggester Setup
To deploy this skill within your environment, use the following command:
clawdbot skill run meal-suggester
After installation, navigate to the preferences directory to define user tastes in the provided markdown files. You should also initialize your current pantry items in inventory/stock.md. The skill is pre-configured with a cron job to provide suggestions daily at 19:00.
Meal Suggester Data Schema & Taxonomy
The skill organizes its intelligence through a series of markdown files and scripts:
| File Path | Purpose | Content Type |
|---|---|---|
preferences/*.md |
User taste profiles | Dietary needs and dislikes |
inventory/stock.md |
Kitchen inventory | Item names and quantities |
inventory/history.md |
Suggestion log | Feedback and meal dates |
inventory/shopping-list.md |
Dynamic list | Predicted needs and low-stock items |
scripts/suggest-meal.sh |
Logic engine | Execution script for Openclaw Skills |
Meal Suggester Advanced Features
- Scheduled cron triggers for automated daily recipe reminders at peak planning times.
- Multi-user preference merging to find culinary common ground between partners or roommates.
- Intelligent feedback loop that adjusts recipe frequency based on liked or disliked attributes.
- Natural language ingredient logging that updates inventory without manual table editing.
- Predictive shopping suggestions based on historical consumption patterns within Openclaw Skills.
SKILL.md
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