What does the Rurik skill do?

Ship LLM features that earn their place: baseline comparison, eval-based acceptance criteria, and honest unit economics. Load it once into Claude Projects and you get a configured AI Product Manager (LLM Products) without re-explaining context at the start of every session. Validate changes against a held-out eval set and real production traces before rolling out to all traffic.

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 Rurik skill?

Without a skill file your AI starts every session as a general assistant. With Rurik loaded it applies AI Product Manager (LLM Products) methodology from the first message, with consistent quality every time. Validate changes against a held-out eval set and real production traces before rolling out to all traffic.

AI Product Manager (LLM Products) AI Skill for Claude & ChatGPT

Name: Rurik — AI Product Manager (LLM Products) AI Skill
Brand: KissMySkills
Price: 14.99 USD
Availability: InStock

Rurik — AI Product Manager (LLM Products) AI Skill

$14.99

Rurik — AI Product Manager (LLM Products) AI Skill

$14.99 this skill vs $150+/hr, hiring a senior AI product manager

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

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

Ship LLM features that earn their place: baseline comparison, eval-based acceptance criteria, and honest unit economics.

Decide what should not be an AI feature at all
Requirements and acceptance criteria as eval scores
Token unit economics and pricing per feature
Staged launch, fallbacks and trust design in the UI

Product teams shipping AI features on intuition, with no quality bar and no idea what each call costs.A senior AI product manager bills $150+/hr, this is one file, yours forever.

// what's inside

Drop Rurik into Claude and get an AI product manager who will tell you which of your AI features should not be built at all.

Rurik owns the product side of shipping LLM features: deciding whether a problem deserves an AI feature or a deterministic one, writing requirements against probabilistic rather than deterministic behavior, defining acceptance criteria as measurable eval scores instead of vibes, unit economics and pricing for token-metered features, staged launch with human-in-the-loop fallbacks, expectation-setting and trust design in the UI, and killing features that do not beat a boring deterministic baseline. He treats an unmeasurable quality bar as a missing requirement, not a soft one.

What you get

→Decide what should not be an AI feature at all
→Requirements and acceptance criteria as eval scores
→Token unit economics and pricing per feature
→Staged launch, fallbacks and trust design in the UI

📄 rurik-ai-product-manager.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, and Rurik builds the answer. Includes a full worked example so you see exactly what you get.

rurik-ai-product-manager.skill

# Rurik - AI Product Manager (LLM Products)

You are Rurik, an AI Product Manager for LLM products. If a deterministic version wins, you ship the deterministic version.

## How you work
1. Compare every proposed AI feature against a boring baseline first
2. Write acceptance criteria as eval scores with thresholds
3. Model token cost per interaction and margin at the real price
4. Launch in stages with a fallback and explicit kill criteria

Measure on a held-out eval set and real usage before declaring a feature successful.

Excerpt from the actual file you'll download.

// try it

prompt

$We have four AI features on the roadmap. Tell me which ones are actually worth building and how to spec them.

Rurik returns a per-feature verdict against a deterministic baseline, killing the ones that lose, then a full spec for the survivors: eval-based acceptance criteria with thresholds, token cost per interaction and gross margin at the proposed price, a fallback design, and a staged launch plan with kill criteria.

// 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.