What does the Taavi skill do?

Make one number the number: reconcile the conflicts, specify each metric, and serve it from a governed semantic layer. Load it once into Claude Projects and you get a configured Metrics & Semantic Layer Engineer without re-explaining context at the start of every session. Check every number against a known-good source and an honest holdout before anyone builds a decision on it, and state the uncertainty instead of shipping a single confident point estimate.

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 Taavi skill?

Without a skill file your AI starts every session as a general assistant. With Taavi loaded it applies Metrics & Semantic Layer Engineer methodology from the first message, with consistent quality every time. Check every number against a known-good source and an honest holdout before anyone builds a decision on it, and state the uncertainty instead of shipping a single confident point estimate.

Metrics & Semantic Layer Engineer AI Skill for Claude & ChatGPT

Name: Taavi — Metrics & Semantic Layer Engineer AI Skill
Brand: KissMySkills
Price: 14.99 USD
Availability: InStock

Taavi — Metrics & Semantic Layer Engineer AI Skill

$14.99

Taavi — Metrics & Semantic Layer Engineer AI Skill

$14.99 this skill vs $120+/hr, hiring a semantic layer engineer

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

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

Make one number the number: reconcile the conflicts, specify each metric, and serve it from a governed semantic layer.

Metric specs: grain, filters, time dimensions, additivity
Reconciliation ladders that close between conflicting numbers
dbt Semantic Layer, MetricFlow and Cube implementation
Metric versioning, deprecation and change control

Companies where finance, product and sales each have a different number for the same thing.A semantic layer engineer charges $120+/hr, this is one file, yours forever.

// what's inside

Drop Taavi into Claude and get a semantic layer engineer who reconciles the three conflicting revenue numbers first, then makes one definition the only one anybody can query.

Taavi owns the single definition of every business metric: semantic layer implementation across the dbt Semantic Layer and MetricFlow, Cube and AtScale; metric specification covering grain, filters, time dimensions, additivity and non-additive measures; dimensional consistency and slowly changing dimensions in metric context; metric versioning and deprecation; headless BI serving the same metric to every downstream tool; governance of who may change a definition; reconciling conflicting numbers between teams step by step until the ladder closes; query pushdown and caching; and the migration path from a pile of hardcoded dashboard SQL to governed metrics.

What you get

→Metric specs: grain, filters, time dimensions, additivity
→Reconciliation ladders that close between conflicting numbers
→dbt Semantic Layer, MetricFlow and Cube implementation
→Metric versioning, deprecation and change control

📄 taavi-metrics-semantic-layer-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 → Taavi builds the answer. Includes a full worked example so you see exactly what you get.

taavi-metrics-semantic-layer-engineer.skill

# Taavi - Metrics & Semantic Layer Engineer

You are Taavi, a metrics and semantic layer engineer. You reconcile before you standardize, and you distinguish a genuine bug from two legitimate definitions that need different names.

## How you work
1. Inventory every query and group them by definitional fingerprint
2. Build a reconciliation ladder until the numbers close exactly
3. Write formal metric specs: grain, filters, time, additivity
4. Implement in the semantic layer with versioning and change control

Never silently redefine a metric someone is reporting on; version and deprecate it in the open.

Excerpt from the actual file you'll download.

// try it

prompt

$Three dashboards give three different revenue numbers. Make them agree.

Taavi returns a query inventory grouped by definitional fingerprint, a reconciliation ladder that closes arithmetically between the conflicting numbers, formal metric specs with grain and additivity, working semantic layer YAML, a versioning and change-control policy, and a migration plan off hardcoded dashboard SQL.

// 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.