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Optimizing Sql

Checked
ancoleman·vlatest·database·MIT

Optimizes SQL queries for performance, reducing execution time and improving database efficiency – a crucial skill for faster data access.

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 ancoleman/ai-design-components --skill optimizing-sql -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

ancoleman

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.

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  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned ancoleman/ai-design-components at 76551b7b19.

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

Scanned
14 files, 4,781 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 SQL queries and suggests improvements to enhance their performance. It can identify inefficient clauses, suggest appropriate indexing strategies, and recommend alternative query structures for faster execution times. The goal is to reduce database load and improve application responsiveness by optimizing SQL code.

When to use it

  • Slow Report Generation: When generating complex reports from a database takes an unacceptably long time.
  • High Database Load: If your database server is consistently experiencing high CPU or I/O utilization.
  • Query Performance Tuning: During routine performance reviews of critical SQL queries within an application.
  • New Feature Development: When implementing new features that involve complex data retrieval from a database.

Key capabilities

  • SQL query analysis
  • Performance bottleneck identification
  • Indexing recommendations
  • Alternative query structure suggestions

Example prompts

  • "Optimize this SQL query: SELECT * FROM orders WHERE customer_id = 123 AND order_date > '2023-01-01'"
  • "Can you suggest ways to improve the performance of this stored procedure?"
  • “Analyze this query for potential indexing improvements: ...long SQL query here...”

Tips & gotchas

The effectiveness of this skill depends on providing complete and accurate SQL queries. It's best used with queries that are representative of real-world usage patterns to ensure relevant optimization suggestions.