Skip to content
TrustedSkillsbeta
Back to all skills

Migrating Sql To Dbt

Checked
altimateai·vlatest·data·MIT

Automatically converts SQL queries into Dbt projects, streamlining your data transformation workflows and boosting efficiency.

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 altimateai/data-engineering-skills --skill migrating-sql-to-dbt -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

altimateai

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 altimateai/data-engineering-skills at 705c68b706.

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

Commit
705c68b706
Manifest
skills/dbt/migrating-sql-to-dbt/SKILL.md
Scanned
1 file, 101 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 converts existing SQL queries into equivalent dbt (data build tool) models. It automates the tedious process of translating SQL logic into a more maintainable and version-controlled data transformation pipeline using dbt. The resulting dbt models can then be executed within a dbt project to generate transformed datasets.

When to use it

  • You have existing SQL scripts for data transformations that you want to incorporate into a dbt workflow.
  • Your team is transitioning from raw SQL to a more structured and collaborative dbt-based approach to data modeling.
  • You need to quickly create dbt models from legacy SQL code without manually rewriting everything.
  • You are looking for a way to standardize your data transformation logic within a dbt project.

Key capabilities

  • SQL to dbt model conversion
  • Automated translation of SQL queries
  • Generation of dbt-compatible code
  • Integration with existing dbt projects

Example prompts

  • "Convert this SQL query into a dbt model: SELECT * FROM users WHERE age > 18."
  • "Translate the following SQL script to dbt and create a new model named 'active_users': [SQL Script]"
  • “Can you convert this stored procedure logic into a dbt model?”

Tips & gotchas

  • Ensure your environment has access to the original SQL query. The skill requires the full SQL code as input.
  • The converted dbt models may require some manual adjustments and testing depending on the complexity of the original SQL.