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Neon Drizzle

Official
neondatabase·vlatest·database·MIT

Analyzes database query patterns to identify performance bottlenecks and suggest optimized indexing strategies.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add neondatabase/ai-rules --skill neon-drizzle -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

neondatabase

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned neondatabase/ai-rules at 1ceaf89a4e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
1ceaf89a4e
Manifest
neon-plugin/skills/neon-drizzle/SKILL.md
Scanned
14 files, 3,703 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

neon-drizzle

What it does

This skill enables AI agents to interact with Neon Database through Drizzle ORM, allowing for seamless database operations within agent workflows. It bridges the gap between high-level agent logic and low-level SQL execution by providing a typed, reactive interface for data management.

When to use it

  • Automating complex data retrieval and transformation tasks that require structured schema knowledge.
  • Building agents capable of performing real-time updates or inserts into persistent storage without manual intervention.
  • Integrating database logic directly into agent decision-making loops for dynamic application states.
  • Managing relational data models with type safety to reduce runtime errors in production environments.

Key capabilities

  • Drizzle ORM Integration: Leverages the full power of Drizzle for defining schemas and executing queries.
  • Neon Database Connectivity: Establishes secure connections to Neon's serverless Postgres infrastructure.
  • Type Safety: Provides compile-time checking for database interactions, ensuring data integrity.
  • Reactive Patterns: Supports reactive programming models for handling asynchronous database events.

Example prompts

  • "Connect to the production Neon instance and fetch all active user sessions from the users table."
  • "Update the status of any orders marked as 'pending' to 'processing' in the database."
  • "Insert a new record into the analytics table with today's date and current traffic metrics."

Tips & gotchas

Ensure your AI agent has proper read/write permissions configured on the Neon instance before attempting write operations. Be mindful of connection pooling limits when running high-frequency queries through the agent to avoid throttling.