run-designer-codegen

Frame ambiguous product problems into design canvases with decision spines.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/orianna-ai/claude-plugin --skill run-designer-codegen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: run-designer-codegen
Source: https://github.com/orianna-ai/claude-plugin/tree/main/plugins/softlight/skills/run-designer-codegen
Command: npx skills add https://github.com/orianna-ai/claude-plugin --skill run-designer-codegen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Guides teams to frame ambiguous problems, build a crisp design spine, and generate explorations with concrete prototype bets that reveal the best path forward.

Core Features & Use Cases

  • Frames problems and defines a decision spine before design exploration.
  • Generates multi-variant explorations for key decisions, with clear tradeoffs and convergence criteria.
  • Produces a narrative canvas that combines PM context, user constraints, and design decisions to align stakeholders.

Quick Start

Frame the problem and build the spine, then generate explorations with clearly labeled decisions and prototype variants.

Frequently Asked Questions about run-designer-codegen

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

FAQPage Schema
How do I frame ambiguous product problems into a clear design canvas?

To frame ambiguous product problems, you define a decision spine that structures the problem on a design canvas. This spine drives subsequent design explorations as concrete, testable variants with clear tradeoffs.

What is a design spine and how does it guide product prototype exploration?

A design spine is a defined structural framework for your product canvas. It guides exploration by anchoring subsequent decisions, ensuring generated prototype variants remain testable and aligned with core product constraints.

How do I generate multi-variant design explorations with clear tradeoffs?

You generate multi-variant design explorations by creating labeled decisions along the defined spine. Each axis produces specific prototype bets with clear tradeoffs and convergence criteria for stakeholder evaluation.

Can I align stakeholders using a narrative canvas for product design decisions?

Yes, you can align stakeholders by producing a narrative canvas. This canvas combines PM context, user constraints, and design decisions into a unified visual space for clear stakeholder alignment.

What is the best way to structure product design explorations around testable prototype bets?

The best way to structure explorations is defining a decision spine first, then generating labeled decisions with variant bets at each axis. This approach yields concrete, testable prototype explorations.

Do I need a defined decision spine before generating product design prototypes?

Yes, you need a defined decision spine before generating prototypes. The spine frames the ambiguous problem on the canvas, providing the necessary structure to drive meaningful, testable design explorations.