Skip to content
TrustedSkillsbeta
Back to all skills

Dbt Coder

Checked
majesticlabs-dev·vlatest·data

Dbt Coder automatically generates SQL code for your dbt models, accelerating development and ensuring consistent transformations.

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 dbt-coder -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/dbt-coder/SKILL.md
Scanned
1 file, 327 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

The dbt-coder skill allows AI agents to generate dbt (data build tool) code based on natural language instructions. It can create models, tests, and seeds, streamlining the data transformation process. This skill aims to accelerate development cycles by automating repetitive coding tasks within a dbt project.

When to use it

  • Rapid prototyping: Quickly generate initial drafts of dbt models for experimentation and exploration.
  • Automating boilerplate code: Generate standard model structures, reducing manual effort for common data transformations.
  • Creating tests: Automatically produce SQL-based tests to ensure data quality within your dbt project.
  • Seed generation: Create seed files from provided data or descriptions.

Key capabilities

  • Generates dbt models (SQL)
  • Creates dbt tests (SQL)
  • Produces dbt seeds
  • Supports natural language instructions for code creation

Example prompts

  • "Create a dbt model named 'active_customers' that selects user_id and last_login from the 'users' table."
  • "Generate a test to ensure the 'order_total' column in the 'orders' table is always positive."
  • “Create a seed file for states with columns state_code, state_name.”

Tips & gotchas

The quality of generated code depends heavily on the clarity and specificity of your prompts. Providing detailed instructions about desired transformations will yield better results.