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.