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Database Expert

Checked
travisjneuman·vlatest·database·MIT

Queries, analyzes, and optimizes databases using SQL and NoSQL techniques, leveraging Travis Jneuman's expertise.

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 travisjneuman/.claude --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

travisjneuman

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 travisjneuman/.claude at 050878886e.

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

Commit
050878886e
Manifest
skills/database-expert/SKILL.md
Scanned
1 file, 492 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

What it does

This skill provides expert-level assistance with databases. It can generate SQL queries, troubleshoot database issues, and explain complex database concepts in a clear and concise manner. The agent is capable of working with various database systems and data structures to provide comprehensive support.

When to use it

  • You need help writing a complex SQL query for data extraction or analysis.
  • You're encountering errors or performance issues within your database system.
  • You want a clear explanation of relational database concepts like normalization or indexing.
  • You require assistance in designing a new database schema or optimizing an existing one.

Key capabilities

  • SQL query generation
  • Database troubleshooting
  • Explanation of database concepts
  • Schema design and optimization

Example prompts

  • "Write a SQL query to find all customers who placed orders over $100 in the last month."
  • "I'm getting an error 'ORA-00054: resource busy and acquire with no wait specified'. What could be causing this?"
  • "Explain database normalization and its benefits."

Tips & gotchas

The skill’s effectiveness depends on providing clear context about the specific database system (e.g., MySQL, PostgreSQL) being used. Be prepared to provide table schemas or sample data for more accurate results.