Weather Plus Cn

What This Skill Does

The Weather Plus Cn skill, developed by chenchaoqun, is an specialized agent module designed to retrieve authoritative, real-time weather information specifically for cities across China. By leveraging official data from the China Meteorological Administration’s primary portal, weather.com.cn, the skill delivers high-accuracy weather reports. Beyond basic temperature and precipitation data, the skill includes a sophisticated recommendation engine that maps current local weather conditions to specific apparel advice, helping users navigate seasonal shifts and daily environmental changes with ease.

Installation

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

clawhub install openclaw/skills/skills/chenchaoqun/weather-plus-cn

Ensure your agent has the necessary network permissions to facilitate the web_fetch requests required to query the weather platform.

Use Cases

This skill is designed for daily lifestyle management and travel planning. You should utilize Weather Plus Cn when a user requires actionable intelligence regarding their immediate environment. Ideal scenarios include:

• Determining appropriate attire for the workday based on current temperatures.
• Planning weekend outings based on potential rainfall or extreme heat alerts.
• Preparing for specific weather events like fog, haze, or potential icy road conditions during winter.
• Checking living indices such as UV protection levels, exercise feasibility, or car washing convenience.

Example Prompts

1. "今天北京的天气怎么样？出门需要穿厚一点的衣服吗？"
2. "查询广州未来几天的天气预报，并告诉我是否需要带伞。"
3. "我想去上海旅游，请帮我分析一下这周的天气情况以及穿衣建议。"

Tips & Limitations

To get the most out of this skill, always ensure you have the correct city code. While the system can handle common city names, referencing the references/city_codes.md file ensures higher reliability. Note that this skill is optimized strictly for Chinese regions; for international travel, we recommend using the fallback wttr.in integration provided within the toolset. Additionally, be mindful of query frequency to avoid triggering rate limits on the source website. If you experience data parsing errors, it is usually indicative of a structure change on the source page; in such cases, verify the web_fetch configuration to ensure your maxChars limits are sufficient to capture the full weather report content.