Process roofing data into a structured app-ready JSON payload.
npx skills add https://github.com/wwwillott/jobnimbus --skill roofing-pipeline
Please help me install this Agent Skill. Skill: roofing-pipeline Source: https://github.com/wwwillott/jobnimbus/tree/main/skills/research/roofing-pipeline Command: npx skills add https://github.com/wwwillott/jobnimbus --skill roofing-pipeline
Streamlines end-to-end roofing data processing to produce a consistent, app-ready payload for downstream tools.
Run the roofing pipeline for a target address and return the full app payload.
High-intent search queries and answers about installing and using this skill.
A roofing data pipeline processes geocoded addresses, retrieves imagery, traces roof edges, and computes DSM planes to return a structured JSON payload. It enforces deterministic API interactions across modular stages for consistent, app-ready output.
A roofing app payload is a structured JSON output containing computed DSM, planes, facets, and edges derived from address geocoding and imagery. It provides a ready-to-consume data structure for downstream wrappers, dashboards, or contractor estimate generation.
Yes, you can use roofing pipeline output for contractor estimates and QA checks. The pipeline combines roof-scan data with geocoded addresses to generate app-ready payloads suitable for integration with estimate wrappers and quality assurance dashboards.
To process DSM and roof facets, the pipeline geocodes the target address, retrieves corresponding imagery, applies Gemini tracing, and computes planes, facets, and edges. This returns a complete app payload for downstream roofing applications.
No external dependencies are required to run the roofing imagery and elevation pipeline. The skill operates independently using internal scripts to manage address geocoding, imagery retrieval, Gemini tracing, and DSM computation for final payload generation.
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