pgWrite efficient PostgreSQL queries and design schemas with proper indexing and patterns.
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clawdbot install ivangdavila/pgGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 1, 2026
Handles high-volume transactions with proper indexing on order status and customer email columns. Uses transaction isolation to prevent phantom reads in financial reports and implements connection pooling to manage peak shopping traffic.
Implements SELECT FOR UPDATE SKIP LOCKED for distributed job processing without external queue tools. Uses advisory locks for application-level coordination and monitors index usage on frequently updated job status tables.
Uses NUMERIC data types for monetary calculations to avoid float precision errors. Implements proper vacuum management on high-update transaction tables and uses covering indexes for complex analytical queries on large datasets.
Implements full-text search with precomputed tsvector columns and GIN indexes. Uses expression indexes for case-insensitive email searches and manages connection limits for web application user authentication flows.
Handles timestamp data with TIMESTAMPTZ for global device coordination. Uses partial indexes on active device status columns and implements statement timeouts to prevent runaway queries from sensor data streams.
Provides managed PostgreSQL instances with optimized configurations, automated vacuuming, and index management. Revenue comes from subscription tiers based on database size, connection limits, and support levels.
Offers PostgreSQL optimization services including query tuning, index analysis, and schema design. Revenue generated through project-based contracts and retainer agreements for ongoing database health monitoring.
Sells software that tracks PostgreSQL metrics like index usage, vacuum status, and connection counts. Revenue from SaaS subscriptions with tiered pricing based on number of databases monitored and feature sets.
💬 Integration Tip
Always use EXPLAIN (ANALYZE, BUFFERS) when testing queries in production-like environments, and implement PgBouncer connection pooling before scaling beyond 50 concurrent connections.
Scored Apr 18, 2026
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Use when designing database schemas, writing migrations, optimizing SQL queries, fixing N+1 problems, creating indexes, setting up PostgreSQL, configuring EF Core, implementing caching, partitioning tables, or any database performance question.