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Postgresql Database Engineering

Listed
manutej·vlatest·database

Helps with PostgreSQL, database 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 manutej/luxor-claude-marketplace --skill postgresql-database-engineering -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

manutej

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: apt.postgresql.org, www.postgresql.org.

    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.

    Hosts contacted

    apt.postgresql.orgundeclaredwww.postgresql.orgundeclared

    What it found

    • plugins/luxor-database-pro/skills/postgresql-database-engineering/README.md:54contacts apt.postgresql.org
      sudo sh -c 'echo "deb http://apt.postgresql.org/pub/repos/apt $(lsb_release -cs)-pgdg main" > /etc/apt/sources.list.d/pgdg.list'
    • plugins/luxor-database-pro/skills/postgresql-database-engineering/README.md:55contacts www.postgresql.org
      wget --quiet -O - https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add -

  • 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 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 manutej/luxor-claude-marketplace at 1861cc9720.

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

Commit
1861cc9720
Manifest
plugins/luxor-database-pro/skills/postgresql-database-engineering/SKILL.md
Scanned
4 files, 3,733 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 enables AI agents to perform advanced tasks related to PostgreSQL database engineering, including schema design, query optimization, backup and recovery strategies, performance tuning, and replication setup. It also supports the creation of complex queries and stored procedures tailored for high-performance data processing.

When to use it

  • Designing or optimizing a PostgreSQL schema for a new application
  • Troubleshooting slow query performance in an existing database
  • Setting up master-slave replication for high availability

Key capabilities

  • Schema design and normalization
  • Query optimization techniques
  • Backup and disaster recovery planning
  • Performance tuning and indexing strategies
  • Replication configuration

Example prompts

  • "Optimize this PostgreSQL query to reduce execution time."
  • "Design a schema for a user activity tracking system using PostgreSQL."
  • "Set up master-slave replication in PostgreSQL for high availability."

Tips & gotchas

  • Ensure the AI agent has access to detailed database logs and performance metrics for accurate tuning.
  • Be aware that certain advanced features may require specific PostgreSQL versions or extensions.