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Postgresql Optimization

Checked
curiositech·vlatest·database·MIT

Helps with PostgreSQL, 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 curiositech/some_claude_skills --skill postgresql-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

curiositech

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 curiositech/some_claude_skills at 6713fc7a64.

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

Commit
6713fc7a64
Manifest
.claude/skills/postgresql-optimization/SKILL.md
Scanned
2 files, 285 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 PostgreSQL database performance. It analyzes query execution plans, identifies bottlenecks like missing indexes or inefficient queries, and suggests specific improvements to enhance speed and resource utilization. The skill aims to reduce query latency and overall database load for improved application responsiveness.

When to use it

  • Slow Queries: When you have identified a specific SQL query that is taking an unexpectedly long time to execute.
  • High Database Load: If your PostgreSQL server is consistently experiencing high CPU or I/O utilization.
  • Application Performance Issues: When users are reporting slow response times from applications relying on the database.
  • Post-Deployment Tuning: After deploying a new application or significant data changes, to proactively optimize performance.

Key capabilities

  • Query plan analysis
  • Index recommendations
  • Query optimization suggestions
  • Bottleneck identification

Example prompts

  • "Analyze this query: SELECT * FROM orders WHERE customer_id = 123; and suggest optimizations."
  • "My database is running slowly. Can you identify the biggest performance bottlenecks?"
  • “Explain the execution plan for this query and recommend improvements.”

Tips & gotchas

This skill requires access to the PostgreSQL server or a means of providing query plans. The quality of recommendations depends on the accuracy and completeness of the provided information; ensure the AI agent has sufficient context about your database schema and workload.