Umeå Lunch Guide for Openclaw

A specialized tool for fetching and displaying daily lunch menus from restaurants across Umeå via live data.

simskii
v1.0.0
Jan 28, 2026
1
2.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install umea-lunch

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install umea-lunch 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 Umeå Lunch Guide?

The Umeå Lunch Guide is a technical utility designed to bridge the gap between local restaurant data and your terminal. By fetching live information from umealunchguide.se, this skill provides a structured way to access daily food specials, prices, and dietary information. It is built to function seamlessly within the broader ecosystem of Openclaw Skills, offering a developer-friendly way to query local food data.

Whether you are looking for a specific dish or exploring new dining options, this skill simplifies the process by transforming web-based menu listings into parseable data. It serves as a prime example of how Openclaw Skills can be used to interact with localized web content to improve daily productivity.

Umeå Lunch Guide Use Cases

  • Quickly identifying daily specials across multiple Umeå restaurants.
  • Searching for specific lunch options based on restaurant names.
  • Filtering meals by dietary requirements such as vegetarian, vegan, or gluten-free.
  • Checking lunch availability for specific future dates using Openclaw Skills parameters.

How Umeå Lunch Guide Works

  1. The user initiates a query through the provided Python script, optionally specifying a date or a restaurant filter.
  2. The skill connects to the umealunchguide.se backend to retrieve the most recent menu data.
  3. The raw data is parsed and organized into a clean JSON structure, including restaurant contact details and dish descriptions.
  4. Openclaw Skills then present the formatted results, highlighting price points and dietary tags for easy reading.

Umeå Lunch Guide Setup

To get started with this skill, ensure you have Python 3 installed on your system. You can run the main fetch script directly from your terminal:

python3 /root/clawd/skills/umea-lunch/scripts/fetch_lunch.py

For more specific queries, you can use flags:

# Filter by a specific restaurant
python3 /root/clawd/skills/umea-lunch/scripts/fetch_lunch.py --restaurant "tonka"

# List all restaurants currently indexed
python3 /root/clawd/skills/umea-lunch/scripts/fetch_lunch.py --list

Umeå Lunch Guide Data Schema & Taxonomy

The skill produces a structured JSON output that is easy to integrate with other tools. The schema includes:

Property Type Description
date String The ISO date for the menus provided.
restaurants Array A list of restaurant objects including name, address, and phone number.
courses Array Located within each restaurant, containing dish title, description, price, and tags.
tags Array Dietary indicators like vegetarisk, vegansk, or glutenfri.

Umeå Lunch Guide Advanced Features

  • Temporal filtering: Query menus for specific dates in the future using the --date flag.
  • Partial matching: Use case-insensitive search strings to find restaurants without needing the full name.
  • Rich Metadata: Access dietary tags and contact information directly through the Openclaw Skills interface.
  • Automation-ready: Standardized JSON output allows for easy piping into other automation workflows or notification systems.

SKILL.md


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