An intelligent weather management skill that provides real-time forecasts, city configuration management, and automated WeChat notifications paired with daily quotes.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weather-assistant
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install weather-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Weather Assistant is a robust tool designed for the Openclaw Skills ecosystem to streamline how users stay informed about local and global weather conditions. By leveraging the wttr.in API, it provides highly accurate meteorological data including temperature ranges, humidity, and wind conditions.
Beyond simple queries, this skill functions as a personalized morning briefing agent. It integrates with system cron jobs to deliver formatted weather reports directly to WeChat, ensuring you start your day with both essential environmental data and a randomly selected inspirational quote from your local workspace.
To get started with this skill on Openclaw Skills, ensure your configuration files are in place:
mkdir -p ~/.qclaw/skills/weather-assistant/
config.json with your target cities:# Example config.json structure
{
"cities": [
{"name": "Beijing", "query": "Beijing", "alias": "BJ"},
{"name": "New York", "query": "New+York", "alias": "NYC"}
]
}
Weather Assistant utilizes a structured file system within the Openclaw Skills environment:
| File Path | Description | Data Type |
|---|---|---|
~/.qclaw/skills/weather-assistant/config.json |
Stores the list of cities, queries, and aliases. | JSON |
~/workspace/名言名句.md |
A source file containing numbered inspirational quotes. | Markdown |
wttr.in/{query}?format=j1 |
External API endpoint for raw meteorological data. | JSON API |
announce delivery mechanism to bypass standard chat loops and push directly to WeChat.Loading
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