gdal

Process raster and vector geospatial data with GDAL/OGR workflows.

66|10|Updated Mar 19, 2026

Search Tags:#vector #tiling #clipping #raster #cog #gdal #reprojection

Ready to run

npx skills add https://github.com/isaaccorley/geospatial-skills --skill gdal-isaaccorley

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gdal
Source: https://github.com/isaaccorley/geospatial-skills/tree/main/plugins/gdal/skills/gdal
Command: npx skills add https://github.com/isaaccorley/geospatial-skills --skill gdal-isaaccorley

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

GDAL command-line users need a reliable way to inspect, transform, and validate raster and vector geospatial datasets without manually juggling many incompatible steps.

Core Features & Use Cases

Inspect and validate datasets: Use GDAL/OGR inspection commands to confirm CRS, bands/layers, and basic output correctness.
Reproject, clip, and convert data: Perform common transformations like reprojection, cutline-based clipping, raster conversion, and attribute-aware vector conversions.
Build mosaics, tiles, and COG outputs: Generate VRT mosaics, XYZ tiles, rasterized outputs, and Cloud Optimized GeoTIFFs from existing sources.

Quick Start

Use the attached input files and run GDAL workflows by asking the assistant to “Inspect INPUT.tif and convert it to EPSG:4326 GeoTIFF named OUTPUT.tif, then validate the result.”

Frequently Asked Questions about gdal

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

FAQPage Schema

How do I convert a GeoTIFF to a Cloud Optimized GeoTIFF?▼

To convert a GeoTIFF to a Cloud Optimized GeoTIFF (COG), use GDAL workflows to create production-ready raster outputs with correct compression and tiling parameters. This generates cloud-friendly raster data optimized for map analysis.

What is the best way to reproject and clip raster data using GDAL?▼

Reprojecting and clipping raster data with GDAL involves applying spatial transformations using a cutline for clipping and correct CRS handling for reprojection. Output validation is performed using gdalinfo to ensure basic correctness.

How do I inspect and validate the CRS of a vector dataset?▼

Inspecting and validating vector datasets requires using GDAL/OGR inspection commands like ogrinfo to confirm the CRS, layers, and basic output correctness. This ensures spatial transformations operate on valid data.

Can I build XYZ tiles and VRT mosaics from multiple raster sources?▼

Yes, you can build XYZ tiles and VRT mosaics from multiple existing raster sources using GDAL tiling and mosaicking workflows. This combines datasets into unified, ready-to-serve raster outputs for maps.

How do I rasterize vector data with attribute-aware parameters?▼

Rasterizing vector data with GDAL applies attribute-aware vector conversions to generate rasterized outputs. Correct parameter selection for compression and performance ensures the resulting raster aligns with the source attributes.