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Postgres Patterns

Checked
ashfaqbs·vlatest·database·MIT

Helps with PostgreSQL, patterns 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 ashfaqbs/software-dev-ai-claude-toolkit --skill postgres-patterns -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

ashfaqbs

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 ashfaqbs/software-dev-ai-claude-toolkit at 3aecd3262b.

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

Commit
3aecd3262b
Manifest
skills/postgres-patterns/SKILL.md
Scanned
1 file, 128 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 provides access to PostgreSQL patterns, allowing for advanced text searching and manipulation within database queries. It enables the extraction of specific data based on complex string matching rules using pattern matching operators like ~, !~, SIMILAR TO, and NOT SIMILAR TO. This is particularly useful when dealing with unstructured or semi-structured data stored in PostgreSQL databases.

When to use it

  • Extracting email addresses from a text field containing customer feedback.
  • Identifying records where product descriptions contain specific keywords or phrases using regular expressions.
  • Filtering log entries based on patterns found within timestamped messages.
  • Analyzing user-generated content for sentiment analysis by identifying key phrases and their associated meanings.

Key capabilities

  • ~: Matches a string against a regular expression pattern.
  • !~: Does not match a string against a regular expression pattern.
  • SIMILAR TO: Matches a string against a SQL-standard pattern.
  • NOT SIMILAR TO: Does not match a string against a SQL-standard pattern.

Example prompts

  • "Find all customer names in the 'customers' table where their name matches the pattern '^[A-Z][a-z]+ [A-Z][a-z]+$'."
  • "Extract all email addresses from the 'feedback' column in the 'reviews' table using a regular expression."
  • “Show me records from the ‘logs’ table where the message starts with ‘ERROR’ and contains a timestamp.”

Tips & gotchas

  • Requires familiarity with PostgreSQL query syntax and regular expressions.
  • Complex patterns can impact query performance; optimize them carefully for large datasets.