Compute ridge, hip, valley, eave, and rake edge metrics from solar-layers data.
npx skills add https://github.com/wwwillott/jobnimbus --skill roof-edges
Please help me install this Agent Skill. Skill: roof-edges Source: https://github.com/wwwillott/jobnimbus/tree/main/skills/research/roof-edges Command: npx skills add https://github.com/wwwillott/jobnimbus --skill roof-edges
It computes ridge, hip, valley, eave, and rake edge metrics from roofing imagery and DSM-derived layers, converting visual data into precise, actionable measurements.
Compute edge metrics for a given address using the roofing tool.
High-intent search queries and answers about installing and using this skill.
Roof edge metrics are computed by extracting ridge, hip, valley, eave, and rake measurements from solar-layers data derived from DSM and imagery, returning a structured payload with edge reports in feet.
Yes, you can process geospatial roof edge metrics for multiple addresses in a batch. The tool supports batch processing tasks to retrieve edge measurements across individual addresses efficiently.
The roof edge types identified from solar-layers data include ridge, hip, valley, eave, and rake. These specific edge metrics are computed to provide precise geospatial roof analysis measurements.
Roof edge extraction requires a solar-layers endpoint to function. If the solar-layers endpoint is unavailable, the process provides error reporting and includes optional API-base handling for overrides.
The roof edge report payload includes edge_report_ft, raw_edge_report_ft, and roof_model_v1 metadata. This structured data supports downstream geometry reasoning for geospatial roof analysis workflows.
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