creating-dbt-models SKILL.md skillA

creating-dbt-models from altimateai/data-engineering-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add altimateai/data-engineering-skills/creating-dbt-models@git:20260121.476f750

Pins git:20260121.476f750 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
altimateai/data-engineering-skills
Path
skills/dbt/creating-dbt-models/SKILL.md
Versions recorded
1
Latest version
git:20260121.476f750, committed Jan 21, 2026
Size
3,560 bytes
Repository stars
129
License
MIT

Creates dbt models following project conventions. Use when working with dbt models for: (1) Creating new models (any layer - discovers project's naming conventions first) (2) Task mentions "create", "build", "add", "write", "new", or "implement" with model, table, or SQL (3) Modifying existing model logic, columns, joins, or transformations (4) Implementing a model from schema.yml specs or expected output requirements Discovers project conventions before writing. Runs dbt build…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# dbt Model Development

**Read before you write. Build after you write. Verify your output.**

## Critical Rules

1. **ALWAYS run `dbt build`** after creating/modifying models - compile is NOT enough
2. **ALWAYS verify output** after build using `dbt show` - don't assume success
3. **If build fails 3+ times**, stop and reassess your entire approach

## Workflow

### 1. Understand the Task Requirements

- What columns are needed? List them explicitly.
- What is the grain of the table (one row per what)?
- What calculations or aggregations are required?

### 2. Discover Project Conventions

```bash
cat dbt_project.yml
find models/ -name "*.sql" | head -20
```

Read 2-3 existing models to learn naming, config, and SQL patterns.

### 3. Find Similar Models

```bash
# Find models with similar purpose
find models/ -name "*agg*.sql" -o -name "*fct_*.sql" | head -5
```

Learn from existing models: join types, aggregation patterns, NULL handling.

### 4. Check Upstream Data

```bash
# Preview upstream data if needed
dbt show --select <upstream_model> --limit 10
```

### 5. Write the Model

Follow discovered conventions. Match the required columns exactly.

### 6. Compile (Syntax Check)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add altimateai/data-engineering-skills/creating-dbt-models@sha256:601c707bdd0a56ec

The line at the top of this page pins the label git:20260121.476f750, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_wepcmvujvwzk35vx.svg)](https://markdownregistry.com/a/art_wepcmvujvwzk35vx)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jan 21, 2026.

versioncommittedcommitsizeaudit
git:20260121.476f750 latest2026-01-21 476f750 3,560 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3560 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

altimateai/data-engineering-skills · 129 stars · license MIT · pushed 2026-10-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_wepcmvujvwzk35vx
GET https://markdownregistry.com/api/v1/resolve?ref=altimateai/data-engineering-skills/creating-dbt-models
GET https://markdownregistry.com/api/v1/blob/601c707bdd0a56ec7814b34709521ea0ffcdb028003e4f825d83750a70c6a8f2

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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