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Db Query Optimization

Checked
kentoshimizu·vlatest·database·Apache-2.0

Helps with querying, optimization as part of agent workflows workflows.

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 kentoshimizu/sw-agent-skills --skill db-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

kentoshimizu

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 kentoshimizu/sw-agent-skills at 5b7bafb626.

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

Commit
5b7bafb626
Manifest
skills/db-query-optimization/SKILL.md
Scanned
1 file, 45 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 database queries to improve performance and reduce resource consumption. It analyzes SQL queries, identifies potential bottlenecks like full table scans or inefficient joins, and suggests modifications for better execution plans. The agent can rewrite queries, add indexes (if permissions allow), or adjust query parameters to achieve faster results.

When to use it

  • Slow report generation: When generating reports takes an unacceptably long time due to complex database queries.
  • High database load: When the database server is experiencing high CPU usage or slow response times, particularly during peak hours.
  • Large data analysis: When performing analytical queries on large datasets that are currently taking too long to process.
  • Query performance tuning: As part of a proactive effort to regularly review and optimize existing SQL queries.

Key capabilities

  • SQL query analysis
  • Identification of inefficient query patterns (e.g., full table scans)
  • Suggestion of query rewrites for improved efficiency
  • Index recommendation (requires appropriate permissions)
  • Parameter optimization

Example prompts

  • "Optimize this SQL query: SELECT * FROM orders WHERE customer_id = 123"
  • "The report generation is taking too long. Can you analyze the queries involved and suggest improvements?"
  • "This query is causing high load on the database server: ...long complex query.... What can be done to improve its performance?"

Tips & gotchas

  • Ensure the AI agent has read access to the relevant database schema for accurate analysis.
  • Index recommendations require appropriate permissions within the database system; the agent may need elevated privileges to implement them.