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Postgres Expert

Checked
duck4nh·vlatest·database

Expertly queries, optimizes, and troubleshoots PostgreSQL databases using advanced SQL and best practices.

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 duck4nh/antigravity-kit --skill postgres-expert -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

duck4nh

Taken from the source listing. We haven't verified who controls this account.

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 duck4nh/antigravity-kit at 90de2acb0b.

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

Scanned
2 files, 1,194 lines
Copies in repo
2 — all of them scanned
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

What it does

This skill provides expert-level assistance with PostgreSQL database tasks. It can generate SQL queries, analyze query performance, and troubleshoot common database issues. The agent can also help design schemas and optimize existing databases for improved efficiency.

When to use it

  • You need help writing complex SQL queries that you're struggling with.
  • Your PostgreSQL database is running slowly, and you want suggestions for optimization.
  • You are designing a new database schema and need guidance on best practices.
  • You’re encountering errors in your PostgreSQL environment and require troubleshooting assistance.

Key capabilities

  • SQL query generation
  • Query performance analysis
  • Database schema design
  • Troubleshooting PostgreSQL issues

Example prompts

  • "Write a SQL query to find all customers who placed an order over $100."
  • "Analyze the execution plan for this query: [paste query here]."
  • "I need to design a database table for storing product information. What fields should I include?"
  • “Explain why my PostgreSQL server is experiencing high latency.”

Tips & gotchas

The agent requires access to relevant database schemas or sample data to provide accurate and helpful responses. Providing context about the specific PostgreSQL version being used can also improve results.