siteintel-gis-pipeline

Ingest and harmonize Texas GIS parcel data into 0-100 feasibility scores.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/BuildSmarterAI/claude-skills --skill siteintel-gis-pipeline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: siteintel-gis-pipeline
Source: https://github.com/BuildSmarterAI/claude-skills/tree/main/siteintel-gis-pipeline
Command: npx skills add https://github.com/BuildSmarterAI/claude-skills --skill siteintel-gis-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

SiteIntel GIS pipeline data ingestion, enrichment, and feasibility scoring to convert diverse parcel data into actionable scores.

Core Features & Use Cases

  • Ingests and harmonizes GIS data from 10+ Texas sources into a unified model.
  • Executes PostGIS queries for parcel geometry, overlays, and proximity analyses.
  • Runs a multi-domain feasibility scoring engine with kill factors and confidence metrics.
  • Generates reports and dashboards for stakeholder decision-making.
  • Use Case: A SiteIntel analyst evaluates 100 parcels across Texas counties to quickly identify high-potential sites with clear risk factors.

Quick Start

Ingest parcel data from Texas sources and generate an end-to-end 0-100 feasibility score.

Frequently Asked Questions about siteintel-gis-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate parcel-level feasibility scores across multiple Texas counties?

To calculate parcel-level feasibility scores across Texas counties, this pipeline ingests and harmonizes GIS data from multiple sources into a unified model. It then applies a seven-domain scoring engine with kill factors to produce actionable 0-100 scores.

Can I run PostGIS spatial queries and proximity analyses on ingested parcel data?

Yes, you can run PostGIS spatial queries on ingested parcel data. The pipeline executes parcel geometry operations, spatial overlays, and proximity analyses using a PostGIS-backed storage system to support SiteIntel workflows.

What is a modular GIS data pipeline with kill factors and confidence metrics?

A modular GIS data pipeline with kill factors is an architecture that ingests diverse spatial data, runs parallel enrichment, and applies a multi-domain scoring model. Kill factors automatically disqualify unsuitable parcels, while confidence metrics validate the final 0-100 feasibility score.

How do I generate PDF feasibility reports from spatial data overlays?

You can generate PDF feasibility reports from spatial data overlays by running the pipeline's end-to-end scoring engine. Once parcel geometry and enrichment are processed, the pipeline produces PDF reports and dashboards for stakeholder decision-making.

Does this feasibility scoring pipeline support data outside of Texas?

This feasibility scoring pipeline is explicitly designed for parcel-level data across Texas counties. It ingests and harmonizes GIS data from 10+ Texas sources, so using it for data outside of Texas is not supported by the current implementation.