ultra-think

Analyze complex problems and compare competing options with recommendations.

Updated Aug 17, 2024
One-click install
npx skills add https://github.com/LinoWhy/.dotfiles --skill ultra-think-linowhy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ultra-think
Source: https://github.com/LinoWhy/.dotfiles/tree/main/agents/.agents/local-skills/ultra-think
Command: npx skills add https://github.com/LinoWhy/.dotfiles --skill ultra-think-linowhy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep analysis to uncover assumptions, compare competing options, and provide actionable recommendations for complex problems.

Core Features & Use Cases

  • Identify core challenges, constraints, hidden assumptions, and stakeholders.
  • Present at least three competing options, apply cross-domain analogies, and perform adversarial reasoning.
  • Deliver a concrete recommendation with a plan and an assessment of uncertainties and trade-offs.

Quick Start

Identify the core challenge, constraints, and hidden assumptions, then present at least three competing options, test them with adversarial reasoning, assess long-term effects, and deliver a concrete recommendation.

Frequently Asked Questions about ultra-think

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

FAQPage Schema
How do I compare competing strategic options for complex product decisions?

Comparing competing strategic options requires identifying constraints and hidden assumptions, then applying adversarial reasoning to test at least three viable alternatives against long-term tradeoffs to deliver a concrete recommendation with uncertainty notes.

What is adversarial reasoning and when do I need it for high-stakes planning?

Adversarial reasoning is a mechanism that tests competing options by generating counterpoints and evaluating second-order effects. You need it for high-stakes planning where multiple viable paths exist and long-term tradeoffs must be assessed before committing.

How do I evaluate long-term effects and second-order tradeoffs in decision-making?

Evaluating long-term effects in decision-making involves analyzing problem frames with cross-domain analogies to surface second-order tradeoffs, then assessing each viable option against identified constraints to provide a clear recommendation with confidence.

Does multi-framework analysis work for product strategy with multiple viable options?

Multi-framework analysis works for product strategy by identifying core challenges and stakeholders, presenting at least three competing options, and applying adversarial reasoning to assess uncertainties and deliver a concrete recommendation with a plan.

What's the best way to uncover hidden assumptions in strategic decision making?

The best way to uncover hidden assumptions in strategic decision making is to analyze problem frames and constraints, apply cross-domain analogies, and use adversarial reasoning to test competing options against second-order effects and counterpoints.

Can I get actionable recommendations with confidence and uncertainty notes for high-stakes planning?

You can get actionable recommendations for high-stakes planning by evaluating at least three competing options with adversarial reasoning and long-term effect analysis, resulting in a concrete plan that includes explicit confidence levels and uncertainty notes.