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home/skills/tag/neon
skill tag

neon▌

6 indexed skills · max 10 per page

skills (6)

neon-drizzle

neondatabase/ai-rules · Productivity

2

neon-drizzle

neon-postgres

sickn33/antigravity-awesome-skills · Productivity

0

Expert patterns for Neon serverless Postgres, branching, connection pooling, and ORM integration. \n \n Covers Prisma and Drizzle ORM setup with Neon, including dual connection string configuration (pooled vs. direct) for migrations and application queries \n Explains PgBouncer connection pooling limits (10K concurrent connections) and reserved superuser connections \n Provides guidance on choosing between Neon's neon-http driver (single queries) and neon-serverless driver (transactions and WebS

neon-vercel-postgres

jezweb/claude-skills · Productivity

0

Serverless Postgres setup for edge functions with connection pooling, branching, and ORM integration. \n \n Supports Neon Direct (multi-cloud, Cloudflare Workers) and Vercel Postgres (zero-config on Vercel); both use HTTP/WebSocket protocols instead of TCP for edge compatibility \n Requires pooled connection strings ( -pooler. in hostname) for serverless; non-pooled connections exhaust quickly in high-concurrency environments \n Template tag syntax ( sql`...` ) prevents SQL injection; string con

neon-postgres

davila7/claude-code-templates · Productivity

0

Configure Prisma for Neon with connection pooling.

neon-postgres

neondatabase/agent-skills · Productivity

0

Comprehensive guides and best practices for Neon Serverless Postgres, covering setup, connection methods, authentication, and platform APIs. \n \n Covers getting started, local development setup, connection method selection (TCP, HTTP, WebSocket), and driver installation for any language or framework \n Includes Neon-specific features: autoscaling, branching (instant copy-on-write clones), scale-to-zero, instant restore, and read replicas \n Provides CLI tooling ( neonctl ), TypeScript/Python SD

neon-postgres-egress-optimizer

neondatabase/agent-skills · Productivity

0

Guide the user through diagnosing and fixing application-side query patterns that cause excessive data transfer (egress) from their Postgres database. Most high egress bills come from the application fetching more data than it uses.