laoyu-perspective

Analyze uncertain decisions with probabilistic reasoning and evidence-first investigation.

Updated May 17, 2026
One-click install
npx skills add https://github.com/tiankong0101-byte/skills-registry --skill laoyu-perspective
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: laoyu-perspective
Source: https://github.com/tiankong0101-byte/skills-registry/tree/main/skills/laoyu-perspective
Command: npx skills add https://github.com/tiankong0101-byte/skills-registry --skill laoyu-perspective

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you analyze uncertain decisions, complex contradictions, and fact-sensitive questions using a blended framework of probabilistic reasoning and实事求是. It is designed to replace vague intuition, absolute judgments, and ungrounded opinions with structured thinking, evidence-first analysis, and clear action guidance.

Core Features & Use Cases

  • Probability-based decision analysis: Estimate outcome distributions, expected value, risk exposure, and action size for choices under uncertainty.
  • Fact-first investigation: When the facts are unclear, it prioritizes research, source-checking, contradiction analysis, and practical validation before answering.
  • Decision framing and communication: Recasts ambiguous life, business, and strategy questions into sharper models, including major contradiction identification, Bayesian updating, and execution-oriented recommendations.
  • Use cases: Choosing whether to start a project, evaluating a risky opportunity, diagnosing why a plan is failing, or comparing multiple strategies when evidence is incomplete.

Quick Start

Ask the skill to analyze your current dilemma through probability thinking and实事求是, then provide the available facts, constraints, and decision goal.

Frequently Asked Questions about laoyu-perspective

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

FAQPage Schema
How do I use probabilistic reasoning for decision-making under uncertainty?

Probabilistic decision-making estimates outcome distributions and expected values to guide choices under uncertainty. It replaces vague intuition with structured probability assessments, risk exposure analysis, and action sizing for complex strategies.

What is Bayesian updating and how does it handle contradictory evidence?

Bayesian updating adjusts probability estimates when new evidence emerges. It prioritizes fact-first investigation and contradiction analysis to resolve conflicting information before reaching conclusions or making strategy recommendations.

How do I identify the major contradiction in a failing business strategy?

Identifying the major contradiction involves evidence-first investigation to isolate the primary bottleneck blocking strategy execution. It applies contradiction analysis to diagnose why a plan is failing and frames validation steps to correct course.

Can probability thinking evaluate risk tradeoffs for starting a new project?

Yes, probability thinking evaluates risk tradeoffs by estimating expected value and outcome distributions for new projects. It frames risky opportunities into decision models with clear action guidance and validation steps.

When should I avoid absolute judgments in decision analysis?

You should avoid absolute judgments when facts are incomplete or decisions depend on sensitive variables. Probabilistic reasoning provides clear recommendations while avoiding unsupported facts and ungrounded opinions in uncertain situations.