solution-design

Analyze validated problems and generate structured solution design action cards.

Updated Jun 3, 2026

Search Tags:#ideation #MVP #solution design #red-teaming #solution concept

Ready to run

npx skills add https://github.com/SunshinePeace213/soriza-startup-layer --skill solution-design-sunshinepeace213

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: solution-design
Source: https://github.com/SunshinePeace213/soriza-startup-layer/tree/main/.claude/skills/solution-design
Command: npx skills add https://github.com/SunshinePeace213/soriza-startup-layer --skill solution-design-sunshinepeace213

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires solution-red-team, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Skill helps address the challenge of creating well-designed, robust solutions that address the validated problem rather than assumptions, ensuring a focused approach from discovery to MVP.

Core Features & Use Cases

Solution Crystallization: Automates the process of articulating the concept and defining its core features, including non-goals and winning thesis.
Red-Teaming and Validation: Leverages an AI subagent to autonomously challenge the solution's assumptions, identifying drifts and scaling issues.
Output Template Generation: Outputs a comprehensive action card that outlines the solution concept, its drift audit, assumptions, and an MVP brief for subsequent stages.

Quick Start

Use the solution-design skill to design your solution concept for a specific idea, e.g., "solution-design <slug>".

Frequently Asked Questions about solution-design

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

FAQPage Schema

How do I design a solution concept from a validated problem statement?▼

Design a solution concept by analyzing the validated problem and its assumptions, then articulating core features, non-goals, and the winning thesis to create a structured MVP brief.

What is AI red-teaming for solution design and how does it validate concepts?▼

AI red-teaming for solution design autonomously challenges your concept's assumptions, identifying potential drifts and scaling issues to ensure the solution is robust before MVP development.

How do I identify assumption drifts and scale failures in an MVP brief?▼

Identify assumption drifts and scale failures by running an autonomous AI subagent that challenges the solution concept, validating its feasibility against anticipated scaling scenarios.

Can I use automated red-teaming to challenge solution assumptions before building an MVP?▼

Yes, you can use automated AI red-teaming to challenge solution assumptions, which audits the concept for drifts and scale failures before generating the final MVP action card.

What is the best way to structure an MVP brief and solution design action card?▼

Structure an MVP brief and action card by automating solution crystallization and drift audits, outputting a comprehensive template that outlines the concept, assumptions, and MVP steps.

When should I not use automated solution crystallization for product ideation?▼

Avoid automated solution crystallization if your validated problem statement and its core assumptions are not yet clearly defined, as the AI requires these inputs to effectively red-team the concept.