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Query Optimization

Checked
pluginagentmarketplace·vlatest·database

Helps with querying, optimization as part of agent workflows 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 pluginagentmarketplace/custom-plugin-sql --skill query-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

pluginagentmarketplace

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 pluginagentmarketplace/custom-plugin-sql at 3f6ce49ea9.

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

Scanned
6 files, 457 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 optimizes SQL queries to improve performance and efficiency. It analyzes existing SQL statements, identifies potential bottlenecks, and suggests modifications for faster execution. The goal is to reduce query response times and resource consumption when interacting with databases.

When to use it

  • Slow database interactions: When an AI agent's tasks are significantly delayed due to slow SQL queries.
  • Resource-intensive operations: When querying large datasets or complex joins that strain server resources.
  • Performance tuning: To proactively improve the efficiency of existing SQL queries within a system.
  • Database migration: When optimizing queries for compatibility and performance on a new database platform.

Key capabilities

  • SQL query analysis
  • Performance bottleneck identification
  • Query optimization suggestions
  • Improved execution speed

Example prompts

  • "Optimize this SQL query: SELECT * FROM orders WHERE customer_id = 123;"
  • "Can you improve the performance of this query for retrieving product data?"
  • "Analyze and suggest optimizations for this complex join query."

Tips & gotchas

The effectiveness of optimization depends on the complexity of the SQL queries. Ensure the agent has access to relevant database schema information for accurate analysis and suggestions.