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Pavlo Database Performance

Checked
copyleftdev·vlatest·database·Apache-2.0

Helps with database, performance optimization as part of working with databases and data persistence 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 copyleftdev/sk1llz --skill pavlo-database-performance -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

copyleftdev

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 copyleftdev/sk1llz at 92361f525f.

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

Commit
92361f525f
Manifest
domains/databases/pavlo/SKILL.md
Scanned
1 file, 284 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 database performance using the Pavlo query execution framework. It identifies bottlenecks and inefficiencies in SQL queries, providing insights into areas for optimization. The tool can analyze query plans, resource consumption, and overall execution time to pinpoint problem areas within a database system.

When to use it

  • Slow Report Generation: When generating reports takes an unexpectedly long time due to inefficient queries.
  • High Database Load: During periods of high user activity or data processing when the database is struggling to keep up.
  • Query Optimization Efforts: As part of a proactive strategy to improve overall database performance and reduce costs.
  • Troubleshooting Performance Issues: When users report slow response times or errors related to database operations.

Key capabilities

  • SQL query analysis
  • Resource consumption tracking
  • Query plan examination
  • Performance bottleneck identification

Example prompts

  • "Analyze the performance of this SQL query: SELECT * FROM orders WHERE customer_id = 123;"
  • "Identify bottlenecks in my database report generation process."
  • "Show me a detailed breakdown of resource usage for the 'customer_summary' query."

Tips & gotchas

The skill requires access to the database and appropriate permissions to execute queries and gather performance data. Ensure that the AI agent has these credentials before use, as improper access can lead to inaccurate results or security risks.