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Postgresql Table Design

Checked
nilecui·vlatest·database

Helps with PostgreSQL, design as part of working with databases and data persistence workflows.

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 nilecui/skillsbase --skill postgresql-table-design -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

nilecui

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 nilecui/skillsbase at 85cbc8b9e1.

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

Scanned
1 file, 199 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 assists in designing PostgreSQL tables. It can generate SQL CREATE TABLE statements based on a description of the data to be stored, including specifying column names, data types, and constraints. The tool aims to produce efficient and well-structured table designs for relational databases.

When to use it

  • You need to create a new database table but are unsure about optimal schema design.
  • You have a description of the data you want to store and require SQL code to implement it.
  • You're prototyping a database structure and need quick generation of CREATE TABLE statements.
  • You’re refactoring an existing database and want assistance in designing improved table structures.

Key capabilities

  • Generates CREATE TABLE SQL statements.
  • Handles column name suggestions.
  • Suggests appropriate data types for columns.
  • Incorporates constraints (e.g., primary keys, foreign keys).

Example prompts

  • "Design a table to store customer information including name, address, and order history."
  • "Create a PostgreSQL table schema for products with attributes like ID, name, price, and category."
  • “I need a table to track book loans from a library. Include fields for book title, borrower, due date.”

Tips & gotchas

The quality of the generated SQL depends heavily on the clarity and completeness of your description. Providing detailed information about the data being stored will lead to better table designs.