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Postgres Pro

Checked
jeffallan·vlatest·database·MIT

Efficiently query, analyze, and manipulate PostgreSQL databases using SQL commands and data insights from jeffallan's Postgres-Pro agent.

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 jeffallan/claude-skills --skill postgres-pro -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

jeffallan

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 jeffallan/claude-skills at 1be15d8064.

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

Commit
1be15d8064
Manifest
skills/postgres-pro/SKILL.md
Scanned
6 files, 1,912 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

The postgres-pro skill enables AI agents to interact with PostgreSQL databases, allowing them to execute queries, manage schemas, and perform data analysis directly within the database environment. It supports advanced SQL operations, including complex joins, subqueries, and transaction management.

When to use it

  • When you need to run ad-hoc SQL queries on a PostgreSQL database for data retrieval or manipulation.
  • To automate routine database maintenance tasks like backups, index optimization, or schema updates.
  • For real-time analytics where processing is done directly in the database rather than pulling data into another system.
  • When integrating AI agents with existing PostgreSQL-based applications to enhance functionality.

Key capabilities

  • Execute complex SQL queries and manage transactions
  • Schema creation and modification (DDL operations)
  • Data analysis using PostgreSQL's built-in functions
  • Integration with PostgreSQL extensions for enhanced performance

Example prompts

  • "Run a SELECT query on the 'users' table where the last login was in the last 7 days."
  • "Create an index on the 'email' column of the 'customers' table to improve search performance."
  • "Analyze the sales data from the 'transactions' table and return a summary by region."

Tips & gotchas

  • Ensure that the AI agent has proper authentication credentials and access rights to the PostgreSQL instance.
  • Be cautious with DDL operations, as they can alter database structure permanently. Always test in a development environment first.