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Postgresql Advanced Queries

Checked
pluginagentmarketplace·vlatest·database

Craft complex PostgreSQL queries, including window functions, CTEs, and advanced joins, to extract precise data insights.

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 pluginagentmarketplace/custom-plugin-postgresql --skill postgresql-advanced-queries -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

pluginagentmarketplace

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 pluginagentmarketplace/custom-plugin-postgresql at 8a52bc4cd9.

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

Commit
8a52bc4cd9
Manifest
skills/postgresql-advanced-queries/SKILL.md
Scanned
6 files, 485 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 execute complex PostgreSQL queries. It enables retrieving specific data subsets, performing calculations across tables, and generating reports based on database information. The agent can leverage advanced SQL features like joins, subqueries, window functions, and aggregate functions for sophisticated data analysis.

When to use it

  • Data Reporting: Generate custom reports summarizing key performance indicators (KPIs) from a PostgreSQL database.
  • Complex Data Extraction: Retrieve specific information that requires joining multiple tables or using advanced filtering techniques.
  • Data Analysis & Insights: Perform calculations and aggregations on data stored in PostgreSQL to identify trends and patterns.
  • Database Troubleshooting: Execute queries to diagnose performance issues or identify inconsistencies within a database.

Key capabilities

  • Execute complex SQL queries against a PostgreSQL database.
  • Utilize joins (INNER, LEFT, RIGHT, FULL) for combining data from multiple tables.
  • Employ subqueries for nested query logic and filtering.
  • Leverage window functions for calculations across rows.
  • Perform aggregate functions (SUM, AVG, COUNT, MIN, MAX).

Example prompts

  • "Write a SQL query to find the top 10 customers by total order value."
  • "Generate a report showing monthly sales trends for each product category."
  • “Can you retrieve all orders placed in the last week that have a shipping cost greater than $50?”

Tips & gotchas

  • Requires access to a PostgreSQL database and appropriate credentials.
  • The agent's SQL proficiency will influence query accuracy; complex queries may require refinement.