weather

What This Skill Does

The Weather skill provides a seamless way for the OpenClaw AI agent to retrieve real-time atmospheric conditions and localized forecasts. By leveraging two highly reliable, free public APIs—wttr.in for human-readable summaries and Open-Meteo for structured programmatic data—this skill enables the agent to act as a personal meteorologist. Whether you need a quick one-line summary for a desktop display or comprehensive meteorological data for further analysis, this skill handles the heavy lifting without requiring the user to manage complex API keys.

Installation

To integrate this functionality into your environment, run the following command in your terminal:

clawhub install openclaw/skills/skills/guxiaolong01/weather-like-test

Ensure that your OpenClaw environment is properly configured to allow outbound requests to the specified API endpoints.

Use Cases

This skill is ideal for users who want to integrate weather updates into their daily workflows, automation scripts, or smart home dashboards. Use it to build an 'AI Morning Briefing' that automatically triggers when you wake up, or to fetch current conditions before scheduling outdoor events. Developers can use the Open-Meteo fallback to pull JSON weather data into larger data-analysis pipelines or to adjust environmental settings in localized software applications based on humidity or temperature trends.

Example Prompts

1. 'What is the current weather in Tokyo right now? Give me the temperature and humidity.'
2. 'Give me a full, detailed weather forecast for New York City for the next three days.'
3. 'Check the weather in London and let me know if I should take an umbrella today.'

Tips & Limitations

• URL Encoding: When searching for cities with spaces, ensure the space is represented as a plus sign (e.g., San+Francisco).
• Metric vs. USCS: Use query parameters ?m or ?u to toggle between systems.
• Data Reliability: While these services are robust, they are free public APIs. If you require critical, high-uptime data for production applications, consider caching the results.
• Localization: The wttr.in service is remarkably flexible; try airport codes (e.g., LHR, JFK) for precise weather station selection if city names return ambiguous results.