using-dbt-for-analytics-engineering

using-dbt-for-analytics-engineering is a skill for Claude Code from Kilo-Org/kilo-marketplace. It costs 67 tokens per session (1,405 once invoked), scanned A, a copy of using-dbt-for-analytics-engineering, Apache-2.0.

A guide to building and changing dbt models, which are SQL-based transformations that turn warehouse data into organized datasets. It also covers connecting models to source data and checking their results.

In plain words
What is it for?
Use it to build models and sources, write SQL transformations, add tests, explore unfamiliar data, debug errors, and assess the impact of changes.
Why use it?
It gives a structured way to create, modify, test, debug, and refactor data transformations without losing track of dependencies or expected results.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to build models and sources, write SQL transformations, add tests, explore unfamiliar data, debug errors, and assess the impact of changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kilo-org/kilo-marketplace/using-dbt-for-analytics-engineering
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Kilo-Org/kilo-marketplace --skill using-dbt-for-analytics-engineering
Clone the repo
git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for using-dbt-for-analytics-engineering

README.md
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for using-dbt-for-analytics-engineering

Your own site · 80×15
<a href="https://agentmods.dev/skills/kilo-org/kilo-marketplace/using-dbt-for-analytics-engineering"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/using-dbt-for-analytics-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,405 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.01405
Opus 5 $0.00034 $0.00702
Sonnet 5 $0.00013 $0.00281
Haiku 4.5 $0.00007 $0.00140

Measured 6d ago against content hash 4b5a0c1339b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

using-dbt-for-analytics-engineering scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

89% identical to using-dbt-for-analytics-engineering — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/dbt/skills/using-dbt-for-analytics-engineering/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using dbt for Analytics Engineering

Core principle: Apply software engineering discipline (DRY, modularity, testing) to data transformation work through dbt's abstraction layer.

When to Use

  • Building new dbt models, sources, or tests
  • Modifying existing model logic or configurations
  • Refactoring a dbt project structure
  • Creating analytics pipelines or data transformations
  • Working with warehouse data that needs modeling

Do NOT use for:

  • Querying the semantic layer (use the answering-natural-language-questions-with-dbt skill)

Reference Guides

This skill includes detailed reference guides for specific techniques. Read the relevant guide when needed:

Guide Use When
references/planning-dbt-models.md Building new models - work backwards from desired output and use dbt show to validate results
references/discovering-data.md Exploring unfamiliar sources or onboarding to a project
references/writing-data-tests.md Adding tests - prioritize high-value tests over exhaustive coverage
references/debugging-dbt-errors.md Fixing project parsing, compilation, or database errors
references/evaluating-impact-of-a-dbt-model-change.md Assessing downstream effects before modifying models
references/writing-documentation.md Write documentation that doesn't just restate the column name
references/managing-packages.md Installing and managing dbt packages

DAG building guidelines

  • Conform to the existing style of a project (medallion layers, stage/intermediate/mart, etc)
  • Focus heavily on DRY principles.
    • Before adding a new model or column, always be sure that the same logic isn't already defined elsewhere that can be used.
    • Prefer a change that requires you to add one column to an existing intermediate model over adding an entire additional model to the project.

Read the full file on GitHub · 103 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 103 lines · 67 tokens per session scan A 4b5a0c1339b3

Subscribe to this mod's changes

using-dbt-for-analytics-engineering is a skill published in the GitHub repository Kilo-Org/kilo-marketplace (174 stars, last pushed 19d ago), licensed Apache-2.0. It adds 67 tokens to every session and 1,405 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to using-dbt-for-analytics-engineering, differing in 6 lines, and is treated as a copy.

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