weather-api

What This Skill Does

The Weather API skill is a specialized tool for construction project managers and site engineers. By integrating meteorological data directly into your workflow, this skill allows for predictive analysis of site conditions. It leverages the Open-Meteo infrastructure to provide high-resolution historical archives and forward-looking forecasts. Beyond simple temperature tracking, the skill processes raw meteorological metrics—including wind speed, humidity, and precipitation—to assess construction risk levels, calculate viable work hours, and suggest site-specific safety recommendations.

Installation

To integrate this capability into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/datadrivenconstruction/weather-api Ensure your development environment has the necessary dependencies like requests and pandas installed to support the data parsing logic.

Use Cases

This skill is primarily designed for logistics and site management. Typical use cases include:

• Scheduling Optimization: Automatically adjusting concrete pouring schedules based on upcoming frost or heavy rain forecasts.
• Risk Assessment: Determining when crane operations must be suspended due to high-wind velocity warnings.
• Project Analytics: Auditing historical weather impact on project delays to provide evidence for insurance claims or contract extensions.
• Resource Allocation: Deciding whether to deploy crews for outdoor work based on hourly humidity and precipitation likelihood.

Example Prompts

1. "Check the weather forecast for the job site at latitude 34.05, longitude -118.24 for the next three days and tell me if it is safe to pour concrete."
2. "What was the weather like at the Portland project site from March 1st to March 15th, and did it impact our schedule by more than 2 days?"
3. "Analyze the upcoming 48 hours for our site in Austin and provide a list of affected construction activities if wind speeds exceed 15 m/s."

Tips & Limitations

• Precision: While the API provides high-resolution hourly data, always calibrate risk thresholds against local site safety standards, as the model offers general guidance rather than site-specific structural engineering advice.
• Data Latency: Historical data is precise, but forecasts are probabilistic. Always check for updates 24 hours before critical milestones.
• Geographic Coverage: Ensure coordinates are accurate to avoid data interpolation errors from nearby weather stations.