hydrologic-modeling-engine
Hydrologic modeling skill for rainfall-runoff analysis, flood frequency, and watershed analysis
npx skills add a5c-ai/babysitter --skill hydrologic-modeling-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.
# Hydrologic Modeling Engine Skill ## Purpose The Hydrologic Modeling Engine Skill performs hydrologic analysis including rainfall-runoff modeling, flood frequency analysis, and watershed characterization using established methods. ## Capabilities - Rational method calculations - SCS/NRCS curve number method - Unit hydrograph generation - Reservoir routing - Time of concentration calculation - IDF curve analysis - Flood frequency analysis - Watershed delineation ## Usage Guidelines ### When to Use - Estimating design flows - Analyzing watersheds - Designing stormwater facilities - Evaluating flood risk ### Prerequisites - Watershed characteristics known - Rainfall data available - Land use identified - Soil types classified ### Best Practices - Select appropriate method - Validate with observed data - Consider climate effects - Document assumptions ## Process Integration This skill integrates with: - Stormwater Management Design - Flood Analysis and Mitigation - Hydraulic Structure Design ## Configuration ```yaml hydrologic-modeling-engine: methods: - rational - scs-curve-number - unit-hydrograph - reservoir-routing outputs: - peak-flow - hydrograph - report ``` ## Output Artifacts
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the hydrologic-modeling-engine skill do?
Hydrologic modeling skill for rainfall-runoff analysis, flood frequency, and watershed analysis
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill hydrologic-modeling-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.