Weather Data Fetcher (Open-Meteo) for Openclaw

Fetch real-time weather conditions and forecasts globally using the Open-Meteo API without an API key.

rjnpage
v1.0.0
Jan 30, 2026
0
0
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install rankaj

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 rankaj 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 Weather Data Fetcher (Open-Meteo)?

The Weather Data Fetcher is a versatile tool within the Openclaw Skills collection that enables AI agents to retrieve precise meteorological information. By utilizing the Open-Meteo platform, it provides current conditions and short-term forecasts for any location worldwide. This skill is particularly useful for workflows that require context-aware environmental data without the friction of managing API keys or complex authentication layers.

Developers can easily integrate this capability to build smarter, location-sensitive applications. Whether you are building a travel assistant or a simple daily briefing agent, this addition to your Openclaw Skills provides reliable, high-resolution weather data in a standardized format.

Weather Data Fetcher (Open-Meteo) Use Cases

  • Automate daily weather briefings for specific geographic locations using Openclaw Skills.
  • Integrate environmental context into location-based decision workflows.
  • Fetch real-time data for travel planning and logistics optimization.
  • Enhance dashboard visualizations with current weather and forecast statistics.

How Weather Data Fetcher (Open-Meteo) Works

  1. Trigger the skill using the /weather forecast command.
  2. Provide the required latitude and longitude parameters for the target location.
  3. Configure optional parameters like timezone, forecast hours, or unit systems.
  4. The skill queries the Open-Meteo API to retrieve current and forecast datasets.
  5. Structured JSON data is returned to the agent as part of the Openclaw Skills workflow.

Weather Data Fetcher (Open-Meteo) Setup

To use this component from the Openclaw Skills library, ensure your environment meets the Node.js requirement. No API keys are necessary for this specific implementation.

# Ensure node is available in your environment
node -v

Weather Data Fetcher (Open-Meteo) Data Schema & Taxonomy

Parameter Type Required Description
latitude number Yes The latitude of the location.
longitude number Yes The longitude of the location.
timezone string No The timezone for the data (default: auto).
hours number No Number of hourly forecast steps (default: 24).
days number No Number of daily forecast steps (default: 3).
units string No Metric or imperial units.

Weather Data Fetcher (Open-Meteo) Advanced Features

  • Zero-configuration setup with no API key required for the Open-Meteo integration.
  • Automatic timezone detection based on provided coordinates.
  • Granular control over forecast intervals for both hourly and daily data.
  • Standardized unit conversion to fit diverse geographical requirements within Openclaw Skills.

SKILL.md


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Related Openclaw Skills

METADATA

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