Water Distribution Modeler Skill
SkillDev toolsWater distribution system modeling skill for pipe networks, pump analysis, and fire flow
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Water Distribution Modeler Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/civil-engineering/skills/water-distribution-modeler/SKILL.md and read by ahel’s review.
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
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
- Water age analysis
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
water-distribution-modeler- Source
- github.com/a5c-ai/babysitter