hydraulic-analysis-engine
Hydraulic analysis skill for open channel flow, culverts, and pipe networks
npx skills add a5c-ai/babysitter --skill hydraulic-analysis-engine --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.
# Hydraulic Analysis Engine Skill ## Purpose The Hydraulic Analysis Engine Skill performs hydraulic analysis for open channels, culverts, and pipe networks using Manning's equation and energy-momentum principles. ## Capabilities - Open channel flow (Manning's equation) - Culvert hydraulics (inlet/outlet control) - Pipe network analysis - Energy and momentum calculations - Backwater analysis - Spillway design calculations - Critical and normal depth - Gradually varied flow ## Usage Guidelines ### When to Use - Sizing drainage structures - Analyzing channel capacity - Evaluating flood elevations - Designing spillways ### Prerequisites - Channel geometry defined - Flow rates established - Boundary conditions known - Roughness values selected ### Best Practices - Verify Manning's n values - Check flow regime - Consider tailwater effects - Validate with observations ## Process Integration This skill integrates with: - Hydraulic Structure Design - Stormwater Management Design - Flood Analysis and Mitigation ## Configuration ```yaml hydraulic-analysis-engine: analysis-types: - open-channel - culvert - pipe-network - spillway flow-types: - steady - unsteady - uniform - varied ``` ## Output
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the hydraulic-analysis-engine skill do?
Hydraulic analysis skill for open channel flow, culverts, and pipe networks
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill hydraulic-analysis-engine --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.