SkillsLib.ai

GIS Spatial Analysis & Cartographic Automation

Automate GIS analysis documentation and generate production-ready map specifications

4.4(31 reviews)
100+ downloads
Updated Nov 2026
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What You Can Do

You can feed Claude raw GIS data outputs, analysis results, and project requirements to automatically generate production-ready map specifications, layer documentation, and technical reports. Claude interprets complex spatial datasets, identifies patterns and inconsistencies, and translates client requirements into detailed cartographic guidelines—eliminating manual documentation work and ensuring consistency across your mapping projects.

Features

Parse and interpret raw GIS data outputs, coordinate systems, and attribute tables without manual transcription
Generate metadata standards compliant documentation (ISO 19115, FGDC) for spatial datasets
Create detailed layer specifications and symbology guidelines for cartographic teams
Identify logical inconsistencies, data gaps, and quality issues in spatial analysis results
Convert between coordinate reference systems and generate projection requirement summaries
Draft technical reports and spatial analysis narratives from methodology notes and findings
Develop cartographic standards and symbol library documentation for organizational consistency
Translate client requirements and stakeholder feedback into actionable map specifications

Example Output

Example 1: Layer Specification Generation

Input: "I've completed a land-use reclassification analysis in QGIS with 7 classes. Need specs for the cartographic team."

Output:

code
## Land Use Classification Layer Specification

**Data Source:** NLCD 2021 Reclassified (EPSG:3857)
**Layer Type:** Vector Polygon

| Class | Color | Stroke | Pattern | Label Size |
|-------|-------|--------|---------|------------|
| Urban Developed | #E31A1C | 0.5px | Solid | 10pt Bold |
| Agricultural | #A6D96A | 0.5px | Crosshatch | 9pt Regular |
| Forest Cover | #1A9850 | 0.5px | Solid | 9pt Regular |

Example 2: Data Quality Report

Input: "Here's my attribute table with 15,000 parcel records. Some geometries don't align with the basemap."

Output:

  • ✓ 14,847 valid geometries (98.9%)
  • ⚠ 153 self-intersecting polygons (1.1%) — recommend topology repair
  • ⚠ 28 records missing zoning classification — flag for field verification
  • ✓ CRS verified: EPSG:2230 (NAD83 / California zone 3)

Example 3: Map Specification from Requirements

Input: "Client wants a 3-color choropleth for median household income by census tract, with emphasis on low-income areas."

Output: Quantile/natural breaks analysis recommendation, specific color scheme with accessibility contrast ratios, annotation placement guidelines, and legend layout specifications.

What's Included

  • SKILL.md instruction file with GIS-specific prompting templates:
  • Data Interpretation Framework: prompts for parsing vector/raster outputs and identifying spatial patterns
  • Map Specification Template: production-ready format for layer documentation, symbology, and cartographic standards
  • GIS Metadata Checklist: ISO 19115 and FGDC compliance guidelines
  • Technical Report Writing Guide: structure for spatial analysis findings and methodology documentation

Who It's For

  • Cartographers — streamline specification writing and documentation workflows
  • GIS Analysts — accelerate data interpretation and technical reporting
  • Urban Planners — generate planning documentation and spatial analysis summaries
  • Environmental Scientists — automate metadata and analysis documentation
  • Government GIS Coordinators — ensure standards compliance and consistency across departments

Best For

  • Generating production-ready map specifications for cartographic teams
  • Writing metadata and technical documentation for spatial datasets
  • Interpreting complex analysis results and identifying spatial patterns
  • Quality assurance and data consistency checking
  • Creating cartographic standards and symbology guidelines

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