A specialized AI agent skill providing global river discharge predictions and flood forecasts for up to 92 days.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pipeworx-flood
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 pipeworx-flood using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The pipeworx-flood skill is a high-performance hydrological tool designed for AI agents to retrieve river discharge data. By utilizing the Open-Meteo Flood API, it empowers users within the Openclaw Skills framework to monitor river health and predict potential flooding events with precision. This skill bridges the gap between raw environmental data and actionable agentic workflows, providing discharge volumes measured in cubic meters per second.
Integrating this skill into your workflow allows for automated environmental monitoring across any latitude and longitude. Whether you are building a research assistant or an emergency response bot, pipeworx-flood provides the structured data needed to understand water flow dynamics over a span of up to 92 days, making it a critical addition to your collection of Openclaw Skills.
To add this capability to your agent using Openclaw Skills, include the following in your MCP configuration file:
{
"mcpServers": {
"pipeworx-flood": {
"command": "npx",
"args": ["-y", "mcp-remote@latest", "https://gateway.pipeworx.io/flood/mcp"]
}
}
}
The skill returns a time-series dataset containing hydrological metrics. Metadata includes geographic coordinates and time zones.
| Attribute | Description |
|---|---|
| latitude / longitude | Coordinates of the river section being analyzed. |
| river_discharge | Daily discharge volume in cubic meters per second (m3/s). |
| forecast_days | The duration of the prediction, ranging from 7 to 92 days. |
| metrics | Comprehensive data including mean, median, and maximum discharge values. |
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