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KimYx0207
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kim-decision

Turn vague questions into executable decisions with pass and kill conditions.

160|49|Updated Feb 14, 2026
Search Tags:#planning#pricing#monetization#analysis#decision#strategy#execution
One-click install
npx skills add https://github.com/KimYx0207/Kim_Service --skill kim-decision
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kim-decision
Source: https://github.com/KimYx0207/Kim_Service/tree/main/skills/kim-decision
Command: npx skills add https://github.com/KimYx0207/Kim_Service --skill kim-decision

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill turns vague questions into clear decisions, concrete next actions, and verifiable pass conditions. It is designed for situations where normal prompting produces confident but unusable advice.

Core Features & Use Cases

  • Decision framing: Clarifies the real problem, the subject affected, the constraints, and the evidence that would change the answer.
  • Execution planning: Converts strategy into an actionable path with inputs, outputs, signals, timeboxes, and kill conditions.
  • Business and product judgment: Helps with pricing, monetization, MVP scope, client delivery, content offers, and scope tradeoffs.
  • Use case: If you are deciding whether to launch an offer, change direction, or test a new workflow, this Skill helps you choose the strongest path and define the smallest proof that matters.

Quick Start

Ask KIM to judge your decision, explain the best path, and give you the first executable move with pass and kill conditions.

Frequently Asked Questions about kim-decision

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn a vague business question into an executable decision?▼

To turn a vague question into an executable decision, you frame the real problem, label evidence, set minimum tests, and build execution plans with clear pass and kill conditions.

What is the best way to plan a monetization and pricing strategy?▼

Planning a monetization and pricing strategy requires decision framing to clarify constraints and execution planning to define actionable paths with measurable signals and timeboxes.

How do I define pass and kill conditions for an MVP scope test?▼

Defining pass and kill conditions for an MVP test involves execution planning that sets specific inputs, outputs, signals, timeboxes, and criteria to verify the smallest proof that matters.

Can I use structured reasoning to decide whether to launch a new content offer?▼

Yes, structured reasoning helps you decide whether to launch a content offer by applying decision framing to identify constraints and defining the minimum tests needed to verify the strongest path.

What should I do when normal AI prompting produces confident but unusable business advice?▼

When normal prompting produces unusable advice, you need structured decision framing that clarifies the real problem, affected subject, constraints, and the evidence that would actually change the answer.

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