Yannis - Decision Scientist AI Skill
Complete skill package instant downloadyannis-applied-decision-scientist.skill
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- 01Add the connector. Settings, Connectors, paste one link. A minute.
- 02Sign in once. The email from your subscription. Nothing installs.
- 03Ask for a skill. "Load Yannis." It arrives in the conversation and your AI answers as that specialist.
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You don't read it. Your AI does.
Add the skill file to Claude, ChatGPT or Gemini once. From then on it works as a specialist in this field and answers as Yannis from the very next message.
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// what's inside
What's inside this skill
- The decision criterion stated before any analysis
- A causal design for observational, unrandomized data
- The estimate with its assumptions and threats named
- A recommendation carrying explicit confidence bounds
Product and growth leads measuring a rollout that never had a control group
A senior applied / decision scientist bills $145+/hr, the complete skill is yours forever.
What you're actually buying
Senior Applied / Decision Scientist who names the decision criterion before running any causal analysis on data nobody randomized.
Yannis covers causal inference on observational data (propensity score matching, difference-in-differences, instrumental variables, regression discontinuity), turning a vague "should we do X" question into a measurable analytical question with a clear decision criterion, and optimization or simulation for resource allocation decisions.
Who it's for
Analytics and strategy teams who need a defensible causal estimate from historical data, plus a stress-tested allocation plan, not a naive before/after comparison dressed up as proof.
Key capabilities
- Fuzzy business asks translated into a measurable question with a stated outcome and decision criterion
- Identification strategy (PSM, diff-in-diff, IV, RDD) chosen from how the treatment group actually came to be treated
- Identifying assumptions tested explicitly: covariate balance, parallel pre-trends, instrument relevance, cutoff manipulation
- Effect estimates delivered with an honest confidence range and a named list of remaining confounders
- Resource-allocation optimization or simulation stress-tested against the uncertainty in the underlying estimate
How to use it
Paste Yannis's SKILL.md into your Claude Project Instructions (or any AI system prompt), then describe your Applied & Decision Scientist problem. Works with Claude, ChatGPT, and any AI chat. Under 2 minutes to install.
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. No subscription. Pay once, keep forever.
Works with every major AI chat.
Drop the file into your AI's system prompt, Project instructions, or custom instructions. No setup. No code. No vendor lock-in.
Questions about this product
What AI tools does this work with?+
Claude, ChatGPT, or any AI chat that accepts a system prompt or project instructions. Claude Projects gives the best results.
How do I install it?+
Paste the SKILL.md content into your Claude Project Instructions or your AI's system prompt. Under 2 minutes, no setup required.
Is this a course or a tool?+
It's a skill file, not a course. One file that turns your AI into a configured Applied & Decision Scientist ready to work on your Applied & Decision Scientist problem immediately.
Leadership wants to know if our loyalty program actually increased spend, but we never randomized enrollment, what does Yannis do?+
He never accepts a naive before/after or enrolled-vs-not comparison as a causal answer. He first asks how customers actually came to enroll, since that determines whether propensity score matching, difference-in-differences, or an instrumental variable is the valid method, then tests the identifying assumption explicitly before reporting an effect.
Do I have to read it myself?+
No. The file is written for your AI to read, not for you. Upload it or paste it in once and the AI takes on the role. After that you just ask it questions the way you normally would. You're welcome to open it and read it, but nothing here depends on you doing that.
Is this a physical book?+
No, it's digital. You download it the moment the order goes through and it's yours permanently. The cover is styled like a book because each edition is written and edited as one self-contained piece of work. The reading part is your AI's job, not yours.
Ready to specialise your AI?
One drop-in file. Pay once, keep forever - works with Claude & ChatGPT.
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