天气

What This Skill Does

The 天气 (Weather) skill allows your OpenClaw AI agent to provide real-time meteorological data for any location across the globe. Powered by the wttr.in service, this tool retrieves current weather conditions, short-term forecasts, and detailed climate metrics such as temperature, precipitation, wind speed, and humidity. It functions as a lightweight, efficient interface for weather data without requiring the setup of complex API keys or subscription services, making it an essential utility for daily planning and quick reference.

Installation

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

clawhub install openclaw/skills/skills/anmu14641/tianqi-weather

Ensure your network environment allows access to external public APIs, as this skill relies on real-time internet connectivity to fetch live meteorological data. Once installed, the agent will automatically gain the capability to interpret user queries regarding weather and respond accordingly.

Use Cases

This skill is ideal for users needing quick, actionable weather insights. It is particularly useful for:

• Morning routine planning: Checking if you need an umbrella before heading to work.
• Travel preparation: Getting climate information for your destination city, including airport code lookups.
• Outdoor scheduling: Determining if conditions are suitable for activities like hiking, photography, or social events.
• Quick status updates: Obtaining rapid summaries of local or international weather conditions.

Example Prompts

1. "今天北京的天气如何？需要带雨伞吗？"
2. "查询一下明天上海的最高和最低气温，顺便看看会不会下雨。"
3. "我想去东京出差，帮我看看那边这三天的天气预报。"

Tips & Limitations

• Rate Limiting: As this skill uses a public-facing service (wttr.in), it is subject to request frequency limits. Avoid automated loops that query the API at high intervals to ensure the service remains available for everyone.
• Scope: This tool is strictly for current weather and short-term forecasting. It cannot provide historical climate data or professional meteorology-level analysis.
• Reliability: Since it relies on external network services, results may be intermittent during periods of network instability or service maintenance at the API provider side.
• Accuracy: While generally reliable for major cities, extreme weather alerts should always be verified with your local government's meteorological agency for safety purposes.