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Database Optimization

Checked
89jobrien·vlatest·database

Helps with database, optimization as part of working with databases and data persistence workflows.

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 89jobrien/steve --skill database-optimization -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

89jobrien

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 89jobrien/steve at c0ff044bf0.

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

Scanned
2 files, 284 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 analyzes and suggests optimizations for databases. It can identify slow queries, suggest indexing strategies, and recommend schema changes to improve performance. The goal is to reduce query latency and overall resource consumption related to database operations.

When to use it

  • Slow application performance: When users report sluggishness or delays in an application heavily reliant on a database.
  • High database server load: If your database server's CPU or memory utilization is consistently high, indicating potential bottlenecks.
  • Large data sets: When dealing with increasingly large datasets and needing to maintain acceptable query speeds.
  • Database migrations: Before and after significant schema changes or data imports to ensure optimal performance.

Key capabilities

  • Query analysis
  • Indexing recommendations
  • Schema optimization suggestions

Example prompts

  • "Analyze the database queries for my e-commerce site and suggest optimizations."
  • "What indexes should I add to improve query performance on the 'orders' table?"
  • "Can you review my database schema and recommend any changes for better efficiency?"

Tips & gotchas

This skill requires access to the database schema and potentially query logs. The recommendations provided are suggestions; always test them in a non-production environment first.