supabase-postgres-best-practices
Optimize Postgres performance with Supabase's best practices for queries, schema design, and database configs.

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
npx skills add davila7/claude-code-templatesOptimize Postgres performance with Supabase's best practices for queries, schema design, and database configs.

Process PDF files including text extraction, merging, splitting, and form filling.

This skill handles spreadsheet files (.xlsx, .csv, .tsv) for reading, editing, and converting tabular data.

Set up, improve, or audit analytics tracking and measurement for GA4, UTM parameters, conversion tracking, and event tracking.

Detects patterns, anomalies, and trends in code and data using regex, AST analysis, and statistical methods.
