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Modern Sql Style

Checked
meteofurletov·vlatest·database

This skill applies modern SQL best practices for improved readability and maintainability of your queries.

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 meteofurletov/modern-sql-style --skill modern-sql-style -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

meteofurletov

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 meteofurletov/modern-sql-style at a433b05be5.

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

Scanned
1 file, 316 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 understand and generate SQL queries using modern SQL syntax. It supports features like window functions, common table expressions (CTEs), and advanced data aggregation techniques. The agent can translate natural language requests into efficient SQL statements for querying databases.

When to use it

  • Data Analysis: Extract specific insights from a database by formulating complex analytical queries.
  • Report Generation: Automate the creation of reports by generating SQL queries that retrieve and format data.
  • Database Migration: Translate existing SQL code into modern syntax for improved performance and compatibility.
  • Data Transformation: Construct SQL statements to cleanse, transform, and prepare data for downstream processes.

Key capabilities

  • Modern SQL Syntax Support
  • Window Functions
  • Common Table Expressions (CTEs)
  • Advanced Data Aggregation

Example prompts

  • "Write a query to find the top 5 customers by total order value."
  • "Generate a CTE that calculates the running total of sales for each month, then select the month and running total."
  • “Create a SQL query to calculate the average salary per department.”

Tips & gotchas

The agent's performance depends on its understanding of the database schema. Providing context about table names and column descriptions will improve accuracy.