Skip to content
TrustedSkillsbeta
Back to all skills

Dbt Expert

Checked
personamanagmentlayer·vlatest·data·Apache-2.0

The Dbt Expert skill provides in-depth knowledge and guidance on using dbt for data transformation, streamlining your ELT workflows and improving data quality.

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 personamanagmentlayer/pcl --skill dbt-expert -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

personamanagmentlayer

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 personamanagmentlayer/pcl at 79ccaa9820.

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

Commit
79ccaa9820
Manifest
stdlib/data/dbt-expert/SKILL.md
Scanned
2 files, 945 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 Expert skill provides in-depth knowledge and guidance on using dbt (data build tool) for data transformation. It enables AI agents to assist with designing maintainable, tested, and documented data pipelines, covering areas like data modeling, testing, documentation, incremental models, macros, Jinja templating, and analytics engineering best practices. The skill understands dbt_project.yml configurations and profiles.yml settings for connecting to databases.

When to use it

  • You need help designing the structure of a dbt project, including defining model paths, tests, seeds, and macros.
  • You're troubleshooting issues with your dbt configuration files (dbt_project.yml, profiles.yml).
  • You want assistance in understanding how to define staging, intermediate, and mart models within your dbt project.
  • You need help writing Jinja templates or creating macros for data transformation logic.

Key capabilities

  • Deep knowledge of dbt concepts including: data modeling, testing, documentation, incremental models, macros, and Jinja templating.
  • Understanding of dbt_project.yml configuration options (e.g., model paths, materializations, tags).
  • Knowledge of profiles.yml configurations for database connections (e.g., host, user, password, schema).
  • Ability to design maintainable and tested data transformation pipelines.

Example prompts

  • "How should I structure my dbt project with staging, intermediate, and mart models?"
  • "Can you explain the purpose of the dbt_project.yml file and its key sections?"
  • "I'm getting an error in my Jinja template; can you help me debug it?"

Tips & gotchas

  • The skill assumes familiarity with basic data warehousing concepts.
  • To get the most accurate responses, provide relevant snippets from your dbt_project.yml and profiles.yml files when asking questions.
  • This skill focuses on dbt usage and does not cover broader database administration or data engineering topics beyond transformation pipelines.