Antigravity-awesome-skills using-neon

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.

install
source · Clone the upstream repo
git clone https://github.com/sickn33/antigravity-awesome-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/sickn33/antigravity-awesome-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/antigravity-awesome-skills-claude/skills/using-neon" ~/.claude/skills/sickn33-antigravity-awesome-skills-using-neon && rm -rf "$T"
manifest: plugins/antigravity-awesome-skills-claude/skills/using-neon/SKILL.md
safety · automated scan (low risk)
This is a pattern-based risk scan, not a security review. Our crawler flagged:
  • makes HTTP requests (curl)
Always read a skill's source content before installing. Patterns alone don't mean the skill is malicious — but they warrant attention.
source content

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

AreaResourceWhen 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.

AreaResourceWhen 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.

AreaResourceWhen 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.

AreaResourceWhen 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

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.