Diagnose and fix excessive Postgres egress (network data transfer) in a codebase. Use when a user mentions high database bills, unexpected data transfer costs, network transfer charges, egress spikes, "why is my Neon bill so high", "database costs jumped", SELECT * optimization, query overfetching, reduce Neon costs, optimize database usage, or wants to reduce data sent from their database to their application. Also use when reviewing query patterns for cost efficiency, even if the user doesn't explicitly mention egress or data transfer.
4 projects use a version of this
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Find and assess authoritative geospatial datasets or catalogs against known requirements: coverage, feature meaning, access, license, completeness, versions and reproducible pinning. Use for public sources, STAC/Portolan catalogs and read-only discovery of user data. Route joint source/compute/storage/delivery architecture to open-map-stack; do not turn a bounded lookup into a full analysis project.
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Plan and execute ambiguous or multi-stage GIS work, jointly choosing authoritative sources, compute, storage and delivery for the scale and team. Covers vector/raster/point-cloud analysis, routing, QGIS, tiles and web maps. Use for unresolved geospatial architecture and end-to-end analysis; prefer installed geospatial-data-discovery, spatial-sql or reproducible-gis-project for their bounded tasks. Retains standalone GIS support when specialists are absent. Do not use for casual place lookups, ordinary travel directions or non-spatial coding.
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Compile, validate or maintain a reproducible GIS project from an existing analysis or chosen workflow: project.yaml, canonical pipeline, pinned sources, executable corrections, validation, reruns and QGIS/web presentation. Use when delivery and reproducibility are the task. Route unresolved source/compute/storage architecture to open-map-stack; a bounded SQL review or dataset lookup does not need a project.
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Write, review, debug or optimize spatial SQL on an already chosen engine, including DuckDB Spatial, PostGIS, BigQuery GIS, Snowflake and Sedona. Use for spatial predicates, joins, indexes, query plans, CRS and metric/geodesic correctness. Route unresolved engine or cross-system architecture choices to open-map-stack; ordinary non-spatial SQL and casual place questions are outside this skill.
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A folder with a SKILL.md file: a name, a description of when to use it, and instructions. Claude loads a skill only when the task matches its description.
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Copy the folder into your project's .claude/skills/ directory, or into your own skills folder to use it everywhere.
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