What problem does it solve? Setting up and operating a serverless Postgres database involves many decisions—choosing the right driver for your runtime, configuring connection pooling, managing branches, and wiring authentication. This Skill walks an AI agent through any Neon task using the official Neon documentation as the source of truth, so answers stay accurate as the platform evolves. ## Core Features & Use Cases - Guided Setup Flow: Inspects your codebase, provisions projects via the Neon CLI or MCP server, stores DATABASE_URL in .env, and picks the correct driver (node-postgres vs @neondatabase/serverless) for your runtime. - Platform Feature Guidance: Covers branching, autoscaling, scale-to-zero, instant restore, read replicas, connection pooling, IP allow lists, and logical replication with links to current docs. - Programmatic Administration: References the Neon REST API, TypeScript SDK (@neon/sdk), Python SDK, and neon.ts infrastructure-as-code config for CI/CD and platform automation. - Use Case: Ask your agent to connect a Next.js app on Vercel to Neon—it will create the project, configure a pooled DATABASE_URL, set up Drizzle with the right driver, and optionally provision Neon Auth. ## Quick Start Ask your AI agent to set up a Neon Postgres database for your project and generate a working connection string using the neon-postgres skill.