A comprehensive weather utility for AI agents providing real-time data, multi-day forecasts, and personalized clothing indices with no individual API keys required.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aaad123
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 aaad123 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Weather Plus is a robust integration designed for AI coding agents, providing instant access to global meteorological data. As a specialized tool within the Openclaw Skills ecosystem, it offers real-time weather updates, multi-day forecasts, and a unique clothing index that suggests appropriate attire based on environmental conditions. By leveraging a pay-per-call model via SkillPay.me, it eliminates the complexity of managing multiple third-party API keys while maintaining high reliability for developers.
This skill is particularly valuable for agents that need to provide contextualized travel advice, daily planning, or environmental awareness. It supports any city worldwide and includes advanced metrics like feels-like temperatures and comfort indices to provide a more human-centric view of weather data.
To deploy this skill, you must configure your environment with a valid SkillPay API key. This ensures seamless transaction processing for the Openclaw Skills environment.
# Set your SkillPay API key
export SKILLPAY_API_KEY="your_api_key_here"
# Example: Fetch current weather
python3 scripts/weather.py --city "New York"
# Example: Fetch clothing recommendations
python3 scripts/clothing.py --city "London"
The skill organizes its output into structured formats to ensure compatibility with various AI agent protocols.
| Data Point | Description | Format |
|---|---|---|
| City | Targeted geographic location | String |
| Temperature | Current and feels-like temperature | Celsius/Fahrenheit |
| Forecast | Daily outlook for up to 7 days | Array |
| Clothing Index | Recommendation based on methodology | Text |
| Billing | Transaction cost in USDT | Numeric (0.001) |
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