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From gis-to-db
This skill should be used when the user asks to "show statistics for this GIS layer", "describe the attribute distributions", "summarize this shapefile", "what's the geometry validity of this dataset", "how many duplicates are in this layer", "histogram of parcel areas", "outliers in this data", "data quality report", or invokes `/gis-to-db:analyze-stats`. Produces descriptive statistics for a GIS layer: attribute distributions (numeric histograms, categorical counts), geometry validity report (invalid / self-intersecting / empty), duplicates by attribute or geometry, area / length distributions, feature count breakdown. Pure read-only analysis on a single layer.
How this skill is triggered — by the user, by Claude, or both
Slash command
/gis-to-db:analyze-stats <path-to-gis-file> [--layer NAME] [--attribute NAME] [--json] [--top-n 10]<path-to-gis-file> [--layer NAME] [--attribute NAME] [--json] [--top-n 10]This skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
> **v0.1 status — production-ready.** Reads any GIS layer this plugin supports (Shapefile, .gdb, GeoJSON, KML, DXF post-conversion) and produces a quality + distribution report.
v0.1 status — production-ready. Reads any GIS layer this plugin supports (Shapefile, .gdb, GeoJSON, KML, DXF post-conversion) and produces a quality + distribution report.
/gis-to-db:analyze-stats /data/parcels.shp/gis-to-db:analyze-stats /data/cadastre.gdb --layer Parcels --attribute area_sqmMarkdown report covering:
gis-preflight-validator mode analyze-stats.--json.scripts/analyze_stats.py — the analyzer. Uses fiona + numpy + shapely.examples/parcels-stats.md — example output for a typical cadastral Shapefile.npx claudepluginhub ehssanatassi/geospatial-marketplace --plugin gis-to-dbSearches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.