ReddRadar
Agent skill
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/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related questions.
Install this agent skill to your Project
npx add-skill https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/database/using-neon
SKILL.md
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.
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.tech/llms.txt
# Fetch any doc page as markdown
curl -H "Accept: text/markdown" https://neon.tech/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 |
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
davila7/claude-code-templates
verl-rl-training
Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.
davila7/claude-code-templates
openrlhf-training
High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.
davila7/claude-code-templates
gguf-quantization
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.
davila7/claude-code-templates
Claude Code Guide
Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.
davila7/claude-code-templates
qdrant-vector-search
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
davila7/claude-code-templates
behavioral-modes
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
Didn't find tool you were looking for?