migrating-sql-to-dbt SKILL.md skillA

migrating-sql-to-dbt 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/migrating-sql-to-dbt@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/migrating-sql-to-dbt/SKILL.md
Versions recorded
1
Latest version
git:20260121.476f750, committed Jan 21, 2026
Size
3,056 bytes
Repository stars
129
License
MIT

Converts legacy SQL to modular dbt models. Use when migrating SQL to dbt for: (1) Converting stored procedures, views, or raw SQL files to dbt models (2) Task mentions "migrate", "convert", "legacy SQL", "transform to dbt", or "modernize" (3) Breaking monolithic queries into modular layers (discovers project conventions first) (4) Porting existing data pipelines or ETL to dbt patterns Checks for existing models/sources, builds and validates layer by layer.

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 Migration

**Don't convert everything at once. Build and validate layer by layer.**

## Workflow

### 1. Analyze Legacy SQL

```bash
cat <legacy_sql_file>
```

Identify all tables referenced in the query.

### 2. Check What Already Exists

```bash
# Search for existing models/sources that reference the table
grep -r "<table_name>" models/ --include="*.sql" --include="*.yml"
find models/ -name "*.sql" | xargs grep -l "<table_name>"
```

For each table referenced in the legacy SQL:
1. Check if an existing model already references this table
2. Check if a source definition exists
3. If neither exists, ask user: "Table X not found - should I create it as a source?"

Only proceed to intermediate/mart layers after all dependencies exist.

### 3. Create Missing Sources

```yaml
# models/staging/sources.yml
version: 2

sources:
  - name: raw_database
    schema: raw_schema
    tables:
      - name: orders
        description: Raw orders from source system
      - name: customers
        description: Raw customer records
```

### 4. Build Staging Layer

One staging model per source table. Follow existing project naming conventions.

**Build before proceeding:**
```bash
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add altimateai/data-engineering-skills/migrating-sql-to-dbt@sha256:38c6cae440d34dba

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

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Versions

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

versioncommittedcommitsizeaudit
git:20260121.476f750 latest2026-01-21 476f750 3,056 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 (3056 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_baausfqtv5xdjt6g
GET https://markdownregistry.com/api/v1/resolve?ref=altimateai/data-engineering-skills/migrating-sql-to-dbt
GET https://markdownregistry.com/api/v1/blob/38c6cae440d34dba6653a5a9069db1114204080f8134179065b75c045624b8b7

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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