Food Delivery
Choose and order food with learned preferences, price comparison, and variety protection.
Why use this skill?
Learn how to use the OpenClaw Food Delivery skill to automate meal ordering, manage dietary preferences, and compare prices across delivery platforms effectively.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/ivangdavila/food-deliveryWhat This Skill Does
The Food Delivery skill for OpenClaw acts as your personal culinary assistant, streamlining the entire meal ordering lifecycle. It transitions your agent from a passive request-fulfiller to an intelligent partner that understands your unique palate, budget, and logistical constraints. By maintaining a structured memory directory in ~/food-delivery/, the agent tracks everything from critical medical allergies to nuanced taste preferences and recent order history to ensure you don't repeat the same meal too frequently.
This skill automates the drudgery of comparing delivery platforms, applying coupons, and verifying menu items against your stored dietary profile. It adheres to a strict restriction hierarchy—ensuring your CRITICAL medical requirements are always prioritized—while remaining flexible enough to satisfy weekend cravings or budget-conscious weekday lunch needs.
Installation
To integrate this skill into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/ivangdavila/food-delivery
Ensure you have created the storage directory by running mkdir -p ~/food-delivery and populated the initial memory-template.md to define your baseline preferences and restrictions.
Use Cases
- Household Management: Coordinate large group orders by aggregating preferences from the
people.mdfile, ensuring everyone’s dietary needs are met in a single transaction. - Optimized Spending: Automatically scan multiple platforms for the same restaurant to identify the lowest total cost, including delivery fees and active service promotions.
- Dietary Safety: Enforce medical constraints by having the agent verify allergy notes with the restaurant during the ordering process, removing the cognitive load of manual checks.
- Decision Fatigue Reduction: Save time by allowing the agent to suggest dishes based on past successful orders, current time of day, and availability.
Example Prompts
- "I'm really craving Thai food for dinner, but keep it under $30 including tip and make sure it's gluten-free."
- "It's just me today, find something light that I haven't ordered in the last two weeks."
- "Order lunch for the group from the local Italian place, but double-check that they can handle the shellfish allergy on the order note."
Tips & Limitations
- Proactive Memory: The quality of the agent's suggestions scales with the accuracy of your
restaurants.mdandorders.mdfiles. Periodically audit these to keep recommendations fresh. - Platform Reliance: This skill automates existing browser-based platforms. Ensure your accounts and payment methods are pre-configured in your browser for seamless checkout.
- Manual Verification: Always review the final cart preview provided by the agent before the final payment trigger, especially for large group orders.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-ivangdavila-food-delivery": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-write, file-read, external-api
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