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Sql Optimization

Checked
chaterm·vlatest·database·Apache-2.0

Provides optimization guidance and assistance for working with databases and data persistence.

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 chaterm/terminal-skills --skill sql-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

chaterm

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 chaterm/terminal-skills at 464c295428.

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

Scanned
1 file, 256 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 database performance. It analyzes provided SQL statements and suggests modifications, such as adding indexes or rewriting joins, to reduce execution time. The goal is to enhance query efficiency without altering the intended result set.

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 improve overall database responsiveness.
  • Query Optimization for Large Datasets: When dealing with large tables and complex queries that require significant processing power.
  • Identifying Bottlenecks: To pinpoint inefficient SQL statements contributing to performance issues.

Key capabilities

  • SQL query analysis
  • Index suggestion
  • Join rewriting suggestions
  • Performance improvement recommendations

Example prompts

  • "Optimize this SQL query: SELECT * FROM orders WHERE customer_id = 123;"
  • "Can you suggest ways to improve the performance of this query? ...complex join statement..."
  • "Analyze this SQL and recommend any indexes that would speed it up."

Tips & gotchas

The skill's effectiveness depends on providing accurate and complete SQL queries. It is designed for standard SQL syntax; non-standard dialects may produce less reliable results.