Skip to content

Preparing Archive

Core
4d 1h ago
Safe

using-neon

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/...

.agents/skills/using-neon Python
PY
TY
BA
4+ layers Tracked stack
Capabilities
0
Signals
0
Related
3
0
Capabilities
Actionable behaviors documented in the skill body.
0
Phases
Operational steps available for guided execution.
0
References
Support files available for deeper usage and onboarding.
0
Scripts
Runnable or reusable automation artifacts discovered locally.

Architectural Overview

Skill Reading

"This module is grounded in ai engineering patterns and exposes 1 core capabilities across 1 execution phases."

Neon Serverless Postgres

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.

When to Use This Skill

Use this skill when:

  • Working with Neon Serverless Postgres
  • Setting up Neon databases
  • Choosing connection methods for Neon
  • Using Neon features like branching or autoscaling
  • Working with Neon authentication or APIs
  • Questions about Neon best practices

Neon Documentation

Always reference the Neon documentation before making Neon-related claims. The documentation is the source of truth for all Neon-related information.

Below you'll find a list of resources organized by area of concern. This is meant to support you find the right documentation pages to fetch and add a bit of additonal context.

You can use the curl commands to fetch the documentation page as markdown:

Documentation:

# Get list of all Neon docs
curl https://neon.com/llms.txt

# Fetch any doc page as markdown
curl -H "Accept: text/markdown" https://neon.com/docs/<path>

Don't guess docs pages. Use the llms.txt index to find the relevant URL or follow the links in the resources below.

Overview of Resources

Reference the appropriate resource file based on the user's needs:

Core Guides

Area Resource When to Use
What is Neon references/what-is-neon.md Understanding Neon concepts, architecture, core resources
Referencing Docs references/referencing-docs.md Looking up official documentation, verifying information
Features references/features.md Branching, autoscaling, scale-to-zero, instant restore
Getting Started references/getting-started.md Setting up a project, connection strings, dependencies, schema
Connection Methods references/connection-methods.md Choosing drivers based on platform and runtime
Developer Tools references/devtools.md VSCode extension, MCP server, Neon CLI (neon init)

Database Drivers & ORMs

HTTP/WebSocket queries for serverless/edge functions.

Area Resource When to Use
Serverless Driver references/neon-serverless.md @neondatabase/serverless - HTTP/WebSocket queries
Drizzle ORM references/neon-drizzle.md Drizzle ORM integration with Neon

Auth & Data API SDKs

Authentication and PostgREST-style data API for Neon.

Area Resource When to Use
Neon Auth references/neon-auth.md @neondatabase/auth - Authentication only
Neon JS SDK references/neon-js.md @neondatabase/neon-js - Auth + Data API (PostgREST-style queries)

Neon Platform API & CLI

Managing Neon resources programmatically via REST API, SDKs, or CLI.

Area Resource When to Use
Platform API Overview references/neon-platform-api.md Managing Neon resources via REST API
Neon CLI references/neon-cli.md Terminal workflows, scripts, CI/CD pipelines
TypeScript SDK references/neon-typescript-sdk.md @neondatabase/api-client
Python SDK references/neon-python-sdk.md neon-api package

Primary Stack

Python

Tooling Surface

Guide only

Workspace Path

.agents/skills/using-neon

Operational Ecosystem

The complete hardware and software toolchain required.

This skill is mostly documentation-driven and does not expose extra scripts, references, examples, or templates.

Module Topology

Skill File
Parsed metadata
Skills UI
Launch context
Chat Session
Antigravity Core

Antigravity Core

Principal Engineering Agent

A high-performance agentic architecture developed by Deepmind for autonomous coding tasks.
120 Installs
4.2 Reliability
1 Workspace Files
4.2
Workspace Reliability Avg
5
68%
4
22%
3
10%
2
0%
1
0%
No explicit validation signals were parsed for this skill yet, but the module remains available for inspection and chat launch.

Recommended for this workflow

Adjacent modules that complement this skill surface

Loading content
Loading content
Cart