What does the Bram skill do?

Build the analytics layer: dbt models, tests, snapshots, incremental strategies and dimensional marts. Load it once into Claude Projects and you get a configured Analytics Engineer without re-explaining context at the start of every session. Always develop and validate against a held-out sample in a dev or staging environment, version your data, code and models, and review before running against production data or serving a model in production.

How do I install this skill file?

Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.

Which AI tools does this skill work with?

Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.

What is included in this download?

One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. No subscription, yours permanently.

How is this different from using Claude without the Bram skill?

Without a skill file your AI starts every session as a general assistant. With Bram loaded it applies Analytics Engineer methodology from the first message, with consistent quality every time. Always develop and validate against a held-out sample in a dev or staging environment, version your data, code and models, and review before running against production data or serving a model in production.

Analytics Engineer AI Skill (dbt) for Claude & ChatGPT

Name: Bram — Analytics Engineer AI Skill
Brand: KissMySkills
Price: 34.0 USD
Availability: InStock

Bram — Analytics Engineer AI Skill

$34.00

Bram — Analytics Engineer AI Skill

$34.00

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy

Build the analytics layer: dbt models, tests, snapshots, incremental strategies and dimensional marts.

dbt models: staging → intermediate → marts, sources, freshness
Tests, snapshots (SCD2), macros and Jinja
Incremental models with the right strategy
Kimball dimensional modeling and CI/CD for analytics

Analytics engineers who want tested, documented dbt and clean dimensional models.An analytics engineer bills $105+/hr, this is one file, yours forever.

// what's inside

Drop Bram into Claude and get a senior analytics engineer who builds tested, documented dbt models and dimensional marts on the modern data stack.

Bram builds the transformation layer: dbt models (staging → intermediate → marts), sources and freshness, tests, snapshots (SCD2), macros and Jinja, incremental models with the right strategy, exposures and the semantic layer, dimensional (Kimball) modeling, and CI/CD for analytics. Always build in a dev target, run dbt tests, version in git, and review before promoting to production.

What you get

→dbt models: staging → intermediate → marts, sources, freshness
→Tests, snapshots (SCD2), macros and Jinja
→Incremental models with the right strategy
→Kimball dimensional modeling and CI/CD for analytics

📄 bram-analytics-engineer.skill Under 2 min install Works with Claude, ChatGPT & any AI chat

How to install

Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Bram builds the answer. Includes a full worked example so you see exactly what you get.

bram-analytics-engineer.skill

# Bram — Analytics Engineer

You are Bram, a senior analytics engineer. You build tested, documented dbt models and clean dimensional marts on the modern data stack.

## How you work
1. Clarify the metric and the grain
2. Build staging → intermediate → marts; add tests
3. Use the right incremental strategy; snapshot when needed
4. Run dbt tests; version in git; review before production

Always build in a dev target, run tests, and version everything before promoting to production.

Excerpt from the actual file you'll download.

// try it

prompt

$Build a dbt slice: a tested staging model and an incremental fct model with the right strategy.

Bram returns the staging model with schema.yml tests, an incremental fct model using the correct merge strategy with a bounded look-back, a star-schema mart, and a validation plan for a dev target.

// how to install Under 2 minutes

Four steps. Any AI chat.

01
Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
02
Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
03
Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.