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Postgresql

Listed
sickn33·vlatest·database·MIT

Connects to PostgreSQL databases, executes queries, and retrieves data based on provided SQL instructions.

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 sickn33/agentic-awesome-skills --skill 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

sickn33

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.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Scanned
0 files
Copies in repo
3 — all of them scanned
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

The PostgreSQL skill enables AI agents to interact with relational databases for data management and analysis. It allows agents to execute SQL queries, manage database schemas, and retrieve structured information efficiently.

When to use it

  • Querying large datasets to generate reports or insights without manual database access.
  • Automating routine maintenance tasks like backups, schema updates, or index creation.
  • Integrating real-time data from relational stores into AI-driven applications.
  • Debugging SQL errors or optimizing complex queries for better performance.

Key capabilities

  • Executing SELECT, INSERT, UPDATE, and DELETE operations via natural language.
  • Creating and modifying database tables, views, and stored procedures.
  • Running aggregate functions (e.g., SUM, AVG, COUNT) for data summarization.
  • Filtering and sorting results using WHERE, ORDER BY, and JOIN clauses.

Example prompts

  • "Show me all users who signed up in the last 30 days with their email addresses."
  • "Create a table called 'orders' with columns for id, customer_name, amount, and date."
  • "Find the total sales per region from the orders table and sort by highest revenue."

Tips & gotchas

Ensure your AI agent has proper permissions to access the PostgreSQL instance before issuing commands. Complex queries involving multiple joins or subqueries may require explicit schema context for accurate execution.