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Database Expert

Checked
duck4nh·vlatest·database

Quickly extracts, analyzes, and summarizes data from complex databases using advanced SQL queries and natural language understanding.

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 duck4nh/antigravity-kit --skill database-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.

Commit
90de2acb0b
Manifest
templates/.agent/skills/database-expert/SKILL.md
Scanned
2 files, 618 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 databases. It can generate SQL queries, analyze database schemas, and troubleshoot common database issues. The agent will be able to understand complex requests related to data extraction, manipulation, and optimization within a relational database environment.

When to use it

  • You need help writing a complex SQL query for data analysis.
  • You're troubleshooting an error message from your database server.
  • You want to optimize the performance of a slow-running database query.
  • You require assistance understanding and interpreting a database schema.

Key capabilities

  • SQL Query Generation
  • Database Schema Analysis
  • Troubleshooting Database Errors
  • Query Optimization

Example prompts

  • "Write a SQL query to find all customers who placed an order in the last month."
  • "Explain this error message: 'ORA-01017: invalid username/password; logon denied'."
  • "How can I optimize this slow-running query: SELECT * FROM orders WHERE customer_id = 123?"

Tips & gotchas

The skill's effectiveness depends on providing clear and specific information about the database structure and desired outcome. It is designed for relational databases, so NoSQL or other non-relational systems may not be supported.