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Sql Patterns

Checked
majesticlabs-dev·vlatest·database

Provides patterns guidance and assistance for working with databases and data persistence.

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 majesticlabs-dev/majestic-marketplace --skill sql-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

majesticlabs-dev

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 majesticlabs-dev/majestic-marketplace at 04e97708c2.

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

Commit
04e97708c2
Manifest
plugins/majestic-data/skills/sql-patterns/SKILL.md
Scanned
1 file, 231 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, majesticlabs-dev-sql-patterns, helps AI agents generate SQL queries based on common patterns. It understands and applies established database design principles to construct efficient and accurate SQL statements. The skill is designed to improve the quality of generated SQL, reducing errors and improving performance.

When to use it

  • Data Analysis: Generate complex SQL queries for extracting insights from relational databases when you need more than simple selections.
  • Report Generation: Automate the creation of SQL scripts for generating reports based on specific data requirements.
  • Database Migration: Assist in translating existing database logic into new SQL dialects or environments.
  • Data Transformation: Construct SQL queries to transform and clean data within a relational database system.

Key capabilities

  • Pattern-based SQL generation
  • Adherence to database design principles
  • Efficient query construction
  • SQL dialect understanding (implied)

Example prompts

  • "Generate a SQL query to find the top 10 customers by total order value."
  • "Write a SQL statement that joins 'orders' and 'customers' tables on customer ID."
  • "Create a query to calculate the average product price for each category."

Tips & gotchas

The skill’s effectiveness relies on clear instructions regarding table names, column names, and desired output. While it understands patterns, providing context is crucial for accurate SQL generation.