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Mastering Postgresql

Listed
spillwavesolutions·vlatest·database

Automates complex PostgreSQL tasks like query optimization, schema design, and performance tuning for peak efficiency.

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 spillwavesolutions/mastering-postgresql-agent-skill --skill mastering-postgresql -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

spillwavesolutions

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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: storage.googleapis.com.

    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

    storage.googleapis.comundeclared

    What it found

    • mastering-postgresql/references/cloud-gcp.md:68contacts storage.googleapis.com
      curl -o cloud-sql-proxy https://storage.googleapis.com/cloud-sql-connectors/cloud-sql-proxy/v2.8.0/cloud-sql-proxy.linux.amd64
  • 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 spillwavesolutions/mastering-postgresql-agent-skill at 2a713e98b0.

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

Scanned
22 files, 5,029 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 allows AI agents to interact with and manage PostgreSQL databases. It enables querying data, executing SQL commands, and performing database administration tasks directly through natural language prompts. The agent can retrieve specific information, update records, or even create new tables based on user instructions.

When to use it

  • Data Analysis: Quickly extract insights from a PostgreSQL database without needing to write complex SQL queries manually.
  • Database Administration: Perform routine tasks like creating users, granting permissions, and backing up data through natural language commands.
  • Application Development: Generate SQL scripts or modify existing database schemas based on application requirements described in plain English.
  • Report Generation: Automatically pull data from the database to generate reports based on specific criteria.

Key capabilities

  • SQL Query Execution
  • Database Schema Modification
  • Data Manipulation (CRUD operations)
  • User and Permission Management
  • Backup and Restore Functionality

Example prompts

  • "Show me all customers who placed an order in the last month."
  • "Create a new table called 'products' with columns for name, price, and description."
  • "Update the email address of customer ID 123 to [email protected]."
  • “Backup my database to a file named ‘backup.sql’.”

Tips & gotchas

The agent requires access credentials (username and password) for the PostgreSQL database. Complex SQL queries or schema modifications may require careful review of the generated commands before execution to avoid unintended consequences.