mirror-world

Classify decision scenarios into control, blind, probability, or risk domains.

32|12|Updated Apr 16, 2026
One-click install
npx skills add https://github.com/kangarooking/cognitive-dividend-skill --skill mirror-world
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mirror-world
Source: https://github.com/kangarooking/cognitive-dividend-skill/tree/main/mirror-world
Command: npx skills add https://github.com/kangarooking/cognitive-dividend-skill --skill mirror-world

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Mirror World helps decision-makers avoid applying deterministic rules to uncertain events by recognizing whether a situation lies in one of four domains and selecting the appropriate survival strategy.

Core Features & Use Cases

  • Domain identification: classifies events into the control domain, blind domain, probability domain, or risk domain.
  • Domain-specific strategies: provides actionable guidance for investment, entrepreneurship, and career decisions under uncertainty.
  • Trigger signals and post-analysis: aids retrospective reviews by highlighting when misclassification occurred and suggesting corrections.

Quick Start

Identify the current decision event, classify it into one of the four domains (control, blind, probability, risk), and apply the corresponding domain strategy to improve outcomes.

Frequently Asked Questions about mirror-world

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

FAQPage Schema
How do I map business decisions to uncertainty domains for risk management?

To manage uncertainty, map your decision event into the control, blind, probability, or risk domain. This classification guides your strategy by matching the scenario's specific uncertainty profile to an appropriate survival rule.

What is the difference between the blind domain and probability domain in decision-making?

In decision-making, the blind domain represents unknowns where rules fail, while the probability domain covers measurable statistical outcomes. Recognizing this difference prevents applying deterministic rules to uncertain events.

When do I need domain classification for entrepreneurship and investment decisions?

You need domain classification for entrepreneurship and investment decisions when facing uncertainty to avoid misapplying deterministic rules. It helps identify if a scenario is controllable or a probability risk to improve outcomes.

How to apply domain-specific strategies for career decisions under uncertainty?

To apply domain-specific strategies for career decisions, first classify your scenario into control, blind, probability, or risk domains. Then follow the structured steps provided for that specific domain to generate actionable guidelines.

Can I use this domain classification for retrospective analysis of past decisions?

Yes, you can use domain classification for retrospective analysis. It highlights when misclassification occurred during past decisions under uncertainty and suggests corrections to improve future strategy.