A streamlined utility to fetch historical and forecast weather data globally via Open-Meteo without requiring an API key.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weather-loader
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install weather-loader using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Weather Loader?
Weather Loader is a high-performance tool designed for the Openclaw Skills ecosystem that automates the retrieval of meteorological information. It leverages the Open-Meteo API to provide users with both historical reanalysis data and high-accuracy forecasts, making it an essential resource for developers building environmental monitoring or agricultural planning applications. Unlike many other weather services, this skill functions entirely without the need for an API key, reducing friction for rapid development and testing.
By integrating this skill, users gain access to comprehensive climate metrics including temperature, precipitation, and FAO-56 reference evapotranspiration. Whether you are analyzing past climate trends or preparing for upcoming weather events, Weather Loader provides the raw data needed in structured, developer-friendly formats.
Weather Loader Use Cases
- Generating historical weather reports for environmental impact studies.
- Planning irrigation schedules using crop evaporation and precipitation forecasts.
- Automating weather data collection for garden or urban landscape management.
- Researching cumulative precipitation trends over a 30-day window for local regions.
How Weather Loader Works
- The user provides a location as a text string or specific latitude and longitude coordinates.
- If a location name is provided, the skill utilizes the Open-Meteo Geocoding API to resolve the exact geographic coordinates.
- The skill calls the appropriate Open-Meteo endpoint (Archive API for history or Forecast API for future data).
- Hourly meteorological data is fetched and aggregated into daily summaries, calculating means for temperature and sums for precipitation and evapotranspiration.
- The processed data is returned to the user in either JSON or CSV format, depending on the specified parameters.
Weather Loader Setup
To integrate this tool into your Openclaw Skills workflow, ensure you have a Python environment ready. No external API registration is necessary.
# Navigate to the skill directory
cd weather-loader
# Run the historical data fetcher
python scripts/fetch_historical.py "New York, NY" --days 14
# Run the forecast fetcher with specific coordinates
python scripts/fetch_forecast.py --lat 40.71 --lon -74.00 --days 7 --format csv
Weather Loader Data Schema & Taxonomy
The skill organizes its output into a structured table or JSON object with the following taxonomy:
| Column | Description |
|---|---|
| date | Date in YYYY-MM-DD format |
| temp | Mean daily temperature in Celsius |
| precip | Total daily precipitation in millimeters |
| et0_fao | FAO-56 reference evapotranspiration (mm/day) |
| evaporation | Estimated crop evaporation based on the crop coefficient |
| agg_precip | Cumulative precipitation over the requested period |
| agg_evaporation | Cumulative evapotranspiration over the requested period |
Weather Loader Advanced Features
- Custom Crop Coefficients: Use the --kc parameter to apply specific multipliers for agricultural evapotranspiration calculations.
- Flexible Geocoding: Support for both human-readable location strings and precise coordinate inputs.
- Extended History: Fetch up to 30 days of observed weather data from the Open-Meteo archive.
- Multi-format Export: Seamlessly switch between JSON for application logic and CSV for data analysis tools.
SKILL.md
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