Agent skill · Backend & API

neon-ai-gateway

One API and one credential for frontier and open-source LLMs, built into your Neon branch and powered by Databricks. Use when a user wants to call an LLM, add AI/chat/an agent to their app, route between model providers (OpenAI, Anthropic, Google/Gemini, Meta, Alibaba, DeepSeek), or...

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claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill neon-ai-gateway --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 15 KB
Bundled scripts: none
Path: skills/neon-ai-gateway/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Neon AI Gateway This is a preview feature and only available in `us-east-2`. The Neon AI Gateway is the LLM inference layer built into your Neon branch: one API and one Neon credential give you access to frontier and open-source models from Anthropic, OpenAI, Google, Meta, Alibaba, DeepSeek, and Databricks — powered by Databricks. Your existing OpenAI/Anthropic/Gemini SDK works by changing only the base URL. Use this skill to help the user send model calls through the gateway, wire it into the AI SDK or Mastra, and switch providers without rewiring code. Deliver a working inference request, a configured agent, or a precise answer from the official Neon docs. ## When to Use Reach for the AI Gateway whenever an app or agent needs to call an LLM and the user would rather not manage model providers themselves: - **One credential instead of many provider accounts.** A single Neon credential reaches the entire model catalog across seven providers. No separate OpenAI / Anthropic / Google billing, keys, or signups to provision and rotate. - **Switch models without rewiring.** The unified endpoint is OpenAI-compatible and works with every model in the catalog — change one `model` field to

What's inside
Steps it walks through
  1. When to Use
  2. What It Does
  3. Setup
  4. Neon Infrastructure as Code (neon.ts)
  5. Environment variables
  6. Build agents with the Vercel AI SDK (recommended)
  7. Build agents with Mastra (recommended)
  8. Use with plain SDKs (lower-level)
  9. Model identifiers
  10. Availability
  11. Neon Documentation
  12. Further reading
  13. Limitations
Commands it runs
neon deploy   # provisions the gateway on the linked branch
neon config status   # print the branch's live config (is the gateway on?)
neon config plan     # dry-run diff of what apply would change
neon config apply    # enable the gateway on the branch  (neon deploy is an alias)
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About this skill
What does the neon-ai-gateway skill do?

One API and one credential for frontier and open-source LLMs, built into your Neon branch and powered by Databricks. Use when a user wants to call an LLM, add AI/chat/an agent to their app, route between model providers (OpenAI, Anthropic, Google/Gemini, Meta, Alibaba, DeepSeek), or...

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill neon-ai-gateway --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going