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Sql Patterns

Listed
neversight·vlatest·database

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

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 neversight/learn-skills.dev --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

neversight

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 neversight/skills_feed at 58220bbac4.

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

Scanned
0 files
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 generate SQL queries based on natural language descriptions, identify and correct errors in existing SQL code, and explain complex SQL statements. It helps users interact with databases more effectively without needing extensive SQL knowledge. The agent can also transform SQL queries between different dialects (e.g., MySQL to PostgreSQL).

When to use it

  • Data Analysis: Generate SQL queries to extract specific insights from a database based on user requests like "Show me the top 10 customers by purchase amount."
  • Database Troubleshooting: Debug and fix errors in existing SQL code, such as identifying syntax mistakes or logical flaws.
  • Learning SQL: Understand complex SQL statements through explanations of their functionality and purpose.
  • Migration: Convert SQL queries from one database system to another (e.g., MySQL to PostgreSQL).

Key capabilities

  • SQL query generation from natural language
  • SQL error correction
  • SQL statement explanation
  • SQL dialect translation

Example prompts

  • "Generate a SQL query to find all customers who placed an order in the last month."
  • "Explain what this SQL query does: SELECT * FROM orders WHERE amount > 100"
  • "Convert this MySQL query to PostgreSQL: SELECT NOW()"

Tips & gotchas

The skill's accuracy depends on the clarity and specificity of the natural language input. Providing context about the database schema can improve results.