neon-postgres
Guides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related questions.
Security Assessment
About neon-postgres
neon-postgres is a reusable AI skill focused on a specific workflow. description: Guides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related questions.
The skill packages instructions, conventions, and task-specific guidance so an agent can execute the job more consistently. Neon is a serverless Postgres platform that separates compute and storage to offer autoscaling, branching, instant restore, and scale-to-zero. It's fully compatible with Postgres and works with any language, framework, or ORM that supports Postgres. The Neon documentation is the source of truth for all Neon-related information. Always verify claims against the official docs before responding. Neon features and APIs evolve, so prefer fetching current docs over relying on training data. Any Neon doc page can be fetched as markdown in two ways:
In practice, this skill is best suited for users who need repeatable execution with fewer setup steps and less ambiguity. 1. **Append `.md` to the URL** (simplest): https://neon.com/docs/introduction/branching.md 2. **Request `text/markdown`** on the standard URL: `curl -H "Accept: text/markdown" https://neon.com/docs/introduction/branching` Both return the same markdown content. Use whichever method your tools support. The docs index lists every available page with its URL and a short description:
FAQ
What does neon-postgres help with?
neon-postgres helps agents follow a focused workflow described in the source documentation, reducing ambiguity and keeping execution aligned with the intended task.
When should this skill be used?
Use it when the task matches the workflow, domain, or operating rules described in the skill documentation, especially when consistent execution matters.
What are the main limitations?
The skill is constrained by the quality and scope of its source instructions. If the underlying documentation is incomplete, the agent may still need extra context or manual validation.
Install neon-postgres
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
neondatabase/agent-skills