weather

What This Skill Does

The Weather skill provides OpenClaw AI agents with the ability to retrieve real-time meteorological data and weather forecasts. It leverages two robust, key-less API services: wttr.in for human-readable summaries and Open-Meteo for structured JSON data. This dual-approach allows your agent to either present weather information conversationally or perform automated analysis on environmental conditions without requiring any complex setup or subscription keys.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/lxgicstudios/weather-2

Ensure that your OpenClaw instance has appropriate network permissions, as this skill fetches data from external servers.

Use Cases

This skill is ideal for personal assistants and automation workflows. Common use cases include:

• Proactive alerts: Setting up a morning briefing agent that summarizes the local forecast.
• Travel planning: Checking conditions at a destination airport using IATA codes.
• Automated environmental awareness: Using Open-Meteo data to trigger smart home actions based on temperature thresholds.
• Research: Providing context-aware weather reporting for outdoor activity scheduling.

Example Prompts

1. "Check the weather in London and tell me if I need an umbrella today."
2. "What are the current temperature and wind conditions at JFK airport?"
3. "Give me a detailed weather report for Berlin and format it with current temperature and humidity."

Tips & Limitations

• URL Encoding: When searching for cities with spaces, always ensure the spaces are replaced with plus signs (e.g., San+Francisco).
• Airport Codes: Use standard 3-letter IATA codes to get highly specific data for travel hubs.
• Units: If you prefer Fahrenheit, append ?u to your wttr.in requests; use ?m for the default metric system.
• Programmatic Data: If your agent needs to perform calculations or logic based on weather, prioritize the Open-Meteo endpoint, as it returns clean, machine-parseable JSON compared to the text-heavy output of wttr.in.
• Network dependency: Because this skill relies on public, free-to-use APIs, it is subject to the uptime and rate-limiting policies of those third-party services.