A Python-powered weather intelligence tool designed specifically for construction site risk management and schedule optimization.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weather-api
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-api 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 API for Construction?
The Weather API for Construction is a specialized skill that integrates Open-Meteo data to help project managers and AI agents account for weather impacts, which affect 50% of construction activities. By providing high-resolution forecasts and historical archives, it enables data-driven decision-making for outdoor operations. This tool goes beyond simple weather reporting by applying construction-specific logic to raw meteorological data.
It evaluates site conditions against industry-standard thresholds for activities such as concrete pouring, crane operations, and exterior painting, ensuring safety and productivity within Openclaw Skills ecosystems. By synthesizing temperature, wind speed, and precipitation into actionable workability assessments, it helps teams mitigate risks and avoid costly weather-related delays.
Weather API for Construction Use Cases
- Schedule Planning: Identify optimal windows for sensitive tasks like concrete pouring or roofing based on localized forecasts.
- Risk Assessment: Quantify weather-related hazards using real-time forecasts and historical trends.
- Historical Analysis: Audit past project performance against historical weather data to justify delays or plan future bids.
- Automated Alerts: Trigger warnings when wind speeds or temperatures exceed safety thresholds for crane work or outdoor labor.
How Weather API for Construction Works
- The user or AI agent requests weather data for specific geographic coordinates including latitude and longitude.
- The skill queries the Open-Meteo API to retrieve hourly forecasts or historical weather archives.
- Raw data is parsed into structured WeatherCondition objects containing temperature, humidity, wind speed, and precipitation levels.
- The ConstructionWeatherRisk engine compares these values against activity-specific safety and productivity thresholds.
- A comprehensive workability assessment is generated, providing a risk level (Low, Moderate, High, Critical) and specific recommendations.
Weather API for Construction Setup
To integrate this skill into your environment, ensure you have the necessary dependencies installed:
# Ensure Python 3 is installed
python3 --version
# Install required Python libraries
pip install requests pandas
The skill is designed to work out-of-the-box with Open-Meteo, which does not require an API key for standard usage. Simply import the WeatherAPIClient into your script to begin fetching data.
Weather API for Construction Data Schema & Taxonomy
The skill organizes weather data and risk metrics into clean, tabular structures for easy processing within Openclaw Skills.
| Entity | Key Attributes | Description |
|---|---|---|
| WeatherCondition | timestamp, temperature, wind_speed, precipitation | Raw meteorological metrics at a specific point in time. |
| WorkabilityAssessment | risk_level, workable_hours, affected_activities | Construction-specific evaluation of site conditions. |
| Activity Thresholds | min_temp, max_temp, max_wind, max_precip | Configuration limits for tasks like concrete_pour or crane_work. |
Weather API for Construction Advanced Features
- Multi-activity Assessment: Evaluate multiple construction tasks simultaneously to find the best overall work window.
- Customizable Risk Thresholds: Modify temperature and wind limits to match specific regional safety regulations or project-specific requirements.
- Pandas DataFrame Support: Seamlessly export all weather and risk data for advanced statistical modeling or reporting.
- Representative Midday Analysis: Automatically selects optimal work-hour blocks to assess daily risk levels accurately within Openclaw Skills.
SKILL.md
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