gis-spatial-analyzer
GIS spatial analysis skill for watershed delineation, floodplain mapping, and site analysis
npx skills add a5c-ai/babysitter --skill gis-spatial-analyzer --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.
# GIS Spatial Analyzer Skill ## Purpose The GIS Spatial Analyzer Skill performs spatial analysis including watershed delineation, floodplain mapping, buffer analysis, and land use classification. ## Capabilities - Watershed delineation - Floodplain mapping - Buffer analysis - Slope analysis - Land use classification - Right-of-way analysis - Viewshed analysis - Proximity analysis ## Usage Guidelines ### When to Use - Analyzing site constraints - Delineating watersheds - Mapping flood zones - Evaluating land use ### Prerequisites - GIS data available - DEM for terrain analysis - Boundary data defined - Analysis criteria established ### Best Practices - Use appropriate resolution - Verify data sources - Document methodology - Validate results ## Process Integration This skill integrates with: - Flood Analysis and Mitigation - Stormwater Management Design - Highway Geometric Design ## Configuration ```yaml gis-spatial-analyzer: analysis-types: - watershed - flood - buffer - slope - land-use data-sources: - DEM - parcel - FEMA - NLCD ``` ## Output Artifacts - Watershed maps - Floodplain delineations - Buffer zones - Analysis reports
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the gis-spatial-analyzer skill do?
GIS spatial analysis skill for watershed delineation, floodplain mapping, and site analysis
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill gis-spatial-analyzer --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.