ultrathink

Apply multi-domain lenses to generate structured reasoning for complex decisions.

2|1|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/costa-marcello/skillkit --skill ultrathink-costa-marcello
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ultrathink
Source: https://github.com/costa-marcello/skillkit/tree/main/skills/ultrathink
Command: npx skills add https://github.com/costa-marcello/skillkit --skill ultrathink-costa-marcello

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

ULTRATHINK provides rigorous, multi-domain analysis for high-stakes decisions, ensuring depth, traceability, and defensible tradeoffs in complex contexts.

Core Features & Use Cases

  • Four universal lenses (Human, Structural, Inclusivity, Sustainability) plus domain augmentation for deeper insight.
  • Domain-specific deliverables and edge-case guidance to support decision-ready outputs across product strategy, data analysis, design, and risk assessment.
  • Reference-driven augmentation with domain literature to ground conclusions and enable reproducibility.

Quick Start

Input a complex decision prompt and ULTRATHINK will return a structured, multi-lens analysis with a concrete deliverable.

Frequently Asked Questions about ultrathink

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

FAQPage Schema
What is multi-lens decision analysis for complex problems?

Domain augmentation deepens decision analysis by integrating domain-specific literature and references. This grounds conclusions in relevant strategy, data analysis, or design contexts, ensuring outputs are reproducible, auditable, and tailored to specific edge-case guidance.

How do I structure a product strategy decision with defensible tradeoffs?

To structure product strategy with defensible tradeoffs, input your complex decision prompt to receive a formal deliverable. The analysis applies four universal lenses and domain augmentation, producing traceable, decision-ready outputs supported by reference-driven insights.

Can I use this framework for risk assessment and data analysis decisions?

The analysis is suited for high-stakes contexts where depth and rigor are essential, such as product strategy, design, and organizational decisions. It is less appropriate for simple, low-impact choices that do not require formal, auditable tradeoffs or multi-domain lenses.

Are there limitations to using multi-domain lenses for organizational decisions?

The framework requires formal input prompts to generate structured reasoning and domain augmentation. It is limited by the need for reference-driven domain literature to ground conclusions, making it less suited for rapid, low-stakes choices lacking sufficient contextual data.