weather-data-fetcher

What This Skill Does

The weather-data-fetcher skill serves as a seamless integration bridge between the OpenClaw AI agent and the Open-Meteo weather service. By leveraging this skill, your agent can instantly query live meteorological data including temperature, precipitation, wind speed, and short-term atmospheric forecasts for any coordinate on Earth. Because it utilizes the Open-Meteo API, it eliminates the need for personal API keys, simplifying the setup process for developers and power users alike. It provides both hourly and daily forecast granularities, enabling the agent to present data in either "metric" or "imperial" units, making it highly versatile for global applications.

Installation

To integrate this skill into your environment, use the OpenClaw CLI tool. Open your terminal and execute the following command:

clawhub install openclaw/skills/skills/rjnpage/rankaj

Ensure that your OpenClaw environment is updated to the latest version before running the installation to avoid dependency conflicts.

Use Cases

This skill is highly effective for context-aware automation. For example, a home automation agent could use it to adjust smart blinds or HVAC systems based on incoming severe weather warnings. Travelers might use it to request "What is the weather like in Tokyo for the next three days?" to plan their itinerary. Furthermore, developers can use it as a data source for building dashboard widgets or providing live status updates in a chat-based team environment.

Example Prompts

1. "Check the current weather forecast for coordinates 34.0522 N, 118.2437 W and tell me if I need an umbrella tomorrow."
2. "Get me an hourly forecast for latitude 51.5074, longitude -0.1278 in imperial units."
3. "Is it going to be clear skies in New York this weekend? Provide a 3-day daily forecast."

Tips & Limitations

• The skill defaults to 'auto' for timezones, but it is best practice to specify the timezone if you are querying regions with complex daylight shifts.
• Keep in mind that this skill provides a forecast; weather patterns are volatile, and real-time accuracy depends on the data refresh rate of the Open-Meteo API.
• The output is provided as raw JSON data from the API; ensure your agent has the proper display formatting logic if you wish to see human-readable summaries.
• Note that this skill requires an active internet connection as it makes external requests to fetch remote data.