skill · Global

gis-agent-skills

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Data offered docs-verified: GIS analysis skills · ArcPy automation: workflow planning, script generation, project audit · Data quality checks: analysis readiness, schema smells, post-run validation · ArcGIS Online search and publishing checklists, Living Atlas vetting · Map delivery: static maps, KML/KMZ authoring, single-file HTML map viewers · GeoParquet layout and spatial index recommendations
Formats docs-verified: Markdown · YAML
Access docs-verified: Free and open under MIT licence (per README badge). Core skills need no credentials. ArcGIS publishing or protected content needs credentials supplied via approved authentication or environment variables.

Use cases llm-inferred: Plan an ArcPy parcel-to-school buffer and append workflow before writing any code · Check parcel and school layers for CRS, geometry, coverage and schema blockers before a 500-ft proximity analysis · Check analysis outputs for count, extent and null-spike anomalies after a run · Assess a read-only ArcGIS Pro map for hosted vector tile delivery
Audience llm-inferred: GIS analysts · ArcPy and Python automation developers · GIS data managers · GIS map delivery developers

Constraints docs-verified: No general-purpose GIS execution engine; workflows run in the user's own tools (e.g. ArcGIS Pro/ArcPy, ArcGIS REST access, a spatial database) · Skill discovery and invocation depend on the host AI agent · Slash-command support depends on the host agent · Some skills include executable helpers that need an appropriate environment and authorization · Optional ArcGIS Pro context needs the companion arcgispro-cli tool · Optional GIS team workflow needs a full checkout and experimental Copilot Dynamic Workflows

Geospatial deep dive (Glama/Smithery/GitHub). Tools/install/auth auto-extracted from README.

Metadata observed 15/10/2026 · research sweep: geo-deep-dive (geo-deep-dive:github-search-geo)