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Design Postgres Tables

Checked
timescale·vlatest·database·Apache-2.0

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

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 timescale/pg-aiguide --skill design-postgres-tables -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

timescale

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 timescale/pg-aiguide at b236d3583f.

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

Commit
b236d3583f
Manifest
skills/design-postgres-tables/SKILL.md
Scanned
1 file, 214 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

The design-postgres-tables skill generates optimized PostgreSQL table schemas based on user requirements and data modeling principles. It automatically handles complex scenarios like partitioning strategies, indexing recommendations, and constraint definitions to ensure high performance.

When to use it

  • Rapidly prototype database structures for new applications without writing raw SQL from scratch.
  • Optimize existing schema designs by requesting specific performance characteristics or storage constraints.
  • Generate compliant schemas that adhere to best practices for data integrity and normalization.
  • Create tailored table definitions for TimeSeries databases when working with TimescaleDB extensions.

Key capabilities

  • Generates complete CREATE TABLE statements including columns, data types, and default values.
  • Automatically suggests appropriate indexes based on query patterns described in the prompt.
  • Implements partitioning strategies (e.g., range, list) to manage large datasets efficiently.
  • Enforces foreign key constraints and unique identifiers to maintain referential integrity.

Example prompts

  • "Create a highly normalized schema for an e-commerce order system with users, products, and orders."
  • "Design a TimeSeries table for storing IoT sensor readings that requires automatic partitioning by date."
  • "Generate a PostgreSQL schema for a financial ledger with strict constraints to prevent negative balances."

Tips & gotchas

Ensure you specify the expected data volume and access patterns in your prompt to receive optimal indexing and partitioning advice. While the skill generates robust schemas, always review generated SQL before production deployment to verify it aligns with specific application logic and security policies.