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Sql Optimization Patterns

Checked
xfstudio·vlatest·database

Helps with optimization, patterns 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 xfstudio/skills --skill sql-optimization-patterns -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

xfstudio

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 xfstudio/skills at 1bf6044db2.

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

Scanned
2 files, 499 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 AI agents with patterns and techniques for optimizing SQL queries. It helps identify common performance bottlenecks, suggests appropriate indexing strategies, and recommends query rewriting approaches to improve database efficiency. The goal is to reduce query execution time and overall system load.

When to use it

  • Slow Query Analysis: When a specific SQL query takes an unexpectedly long time to execute.
  • Database Performance Tuning: As part of a broader effort to optimize the performance of a database application.
  • Identifying Indexing Opportunities: To determine if adding or modifying indexes could improve query speed.
  • Query Refactoring: When needing to rewrite complex SQL queries for better readability and efficiency.

Key capabilities

  • SQL Query Analysis
  • Indexing Recommendations
  • Query Rewriting Suggestions
  • Performance Bottleneck Identification

Example prompts

  • "Analyze this SQL query: SELECT * FROM orders WHERE customer_id = 123; and suggest optimizations."
  • "I'm seeing slow performance on a join between the 'customers' and 'orders' tables. What indexing strategies should I consider?"
  • “Can you rewrite this query to be more efficient: SELECT COUNT(*) FROM products WHERE price > 100 AND category = 'electronics';”

Tips & gotchas

The skill requires a valid SQL query as input; it cannot operate without one. While the suggestions are based on best practices, always test changes in a non-production environment before applying them to live data.