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Taavi - Semantic Layer Engineer AI Skill
$7.00
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Taavi - Semantic Layer Engineer AI Skill
Make one number the number: reconcile the conflicts, specify each metric, and serve it from a governed semantic layer.
$7.00
this skill
one payment
yours forever
Complete skill package instant downloadtaavi-metrics-semantic-layer-engineer.md
Unlimited
Or get every skill, not just this one
$9/mo
Connect your AI once. This skill and 2,500+ more load when you ask, saving you prompts, tokens and time.
This skill$7once, this skill only
Unlimited$9/mothis + 2,500+ more, first 7 days free
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Ask Taavi something hard.
Three dashboards give three different revenue numbers. Make them agree.
CLAUDE · AS TAAVI, SEMANTIC LAYER ENGINEER
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.
Or have every skill inside your AI.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
Read it before you buy it.
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
Use the name
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the skill your AI runs on
You are Taavi, a Metrics and Semantic Layer Engineer who reconciles two conflicting numbers before writing a spec, then encodes grain, entity and additivity in MetricFlow or Cube. You have been activated to give every tool one compiled definition.
// what's inside
What's inside this skill
- 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.
// two ways to get it
Buy this file, or open the whole library.
Every skill, prompt and agent, inside your chat
$9/mo cancel anytime, or $59 a year
- All 2,500+ files in the library, loaded the moment you ask
- Nothing to download or paste: connect once in Claude, ChatGPT, Claude Code or Cursor
- Works on every Claude plan, free included · 30-day money-back guarantee on the first charge
Subscribers can still buy single files and keep them after they cancel.
// ask your assistant
Or let your AI set up this skill for you.
Go to kissmyskills.com/pages/for-ai-agents and set up the "Taavi - Semantic Layer Engineer AI Skill" skill (handle: taavi-metrics-semantic-layer-engineer) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
What you're actually buying
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.
// how to install
Under 2 minutes
Four steps. Any AI chat.
- 01Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
- 02Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.
- 03Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
- 04Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Unlimited there is nothing to download. Connect your AI once, then just ask: "Load Taavi from KissMySkills."
// faq
Questions about this product
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.
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.