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Postgres Tuning

Checked
oakoss·vlatest·database

Optimize PostgreSQL performance by analyzing queries, indexes, and configurations for faster data retrieval.

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 oakoss/agent-skills --skill postgres-tuning -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

oakoss

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 oakoss/agent-skills at 85e3a3919d.

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

Scanned
5 files, 1,040 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 provides automated PostgreSQL database tuning recommendations. It analyzes database performance metrics and suggests adjustments to configuration parameters, indexes, and query patterns. The goal is to improve overall database speed and efficiency by identifying and resolving bottlenecks.

When to use it

  • Slow Query Performance: When users report that queries are taking too long to execute.
  • High Database Load: When the database server is consistently experiencing high CPU or I/O utilization.
  • Post-Deployment Optimization: After deploying a new application or significant data volume increase, to ensure optimal performance.
  • Regular Maintenance: As part of routine database maintenance tasks to proactively identify and address potential issues.

Key capabilities

  • Performance metric analysis
  • Configuration parameter recommendations
  • Index optimization suggestions
  • Query pattern identification

Example prompts

  • "Analyze the PostgreSQL database for performance bottlenecks."
  • "Suggest configuration changes to improve query response time."
  • "Identify missing indexes that could speed up common queries."

Tips & gotchas

This skill requires access to PostgreSQL server metrics and potentially query execution plans. Ensure appropriate permissions are granted before running any tuning recommendations, as incorrect adjustments can negatively impact database stability.