water-distribution-modeler
Water distribution system modeling skill for pipe networks, pump analysis, and fire flow
Profile →npx skills add a5c-ai/babysitter --skill water-distribution-modeler --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Water Distribution Modeler Skill ## Purpose The Water Distribution Modeler Skill analyzes water distribution systems including pipe network analysis, fire flow evaluation, and pump performance assessment. ## Capabilities - Pipe network analysis (Hardy-Cross, Newton-Raphson) - Fire flow analysis - Pump curve analysis - Storage tank sizing - Pressure zone analysis - Water quality modeling - Extended period simulation - System optimization ## Usage Guidelines ### When to Use - Designing water systems - Evaluating system capacity - Analyzing fire flow - Optimizing operations ### Prerequisites - Network topology defined - Demand patterns established - Pump curves available - Tank data complete ### Best Practices - Calibrate with field data - Model multiple scenarios - Verify pressure limits - Consider emergency conditions ## Process Integration This skill integrates with: - Water Distribution Design ## Configuration ```yaml water-distribution-modeler: analysis-types: - steady-state - extended-period - fire-flow - water-quality solvers: - gradient - linear-theory components: - pipes - pumps - tanks - valves ``` ## Output Artifacts - Network solutions - Pressure maps - Fire flow reports
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the water-distribution-modeler skill do?
Water distribution system modeling skill for pipe networks, pump analysis, and fire flow
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill water-distribution-modeler --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.