ux-spec-to-prompts

Convert UX specifications into self-contained prompts for UI generation tools.

4|Updated Nov 16, 2025
One-click install
npx skills add https://github.com/akornmeier/claude-config --skill ux-spec-to-prompts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ux-spec-to-prompts
Source: https://github.com/akornmeier/claude-config/tree/main/skills/ux-spec-to-prompts
Command: npx skills add https://github.com/akornmeier/claude-config --skill ux-spec-to-prompts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transforms UX specifications into a sequence of self-contained prompts optimized for UI generation tools, enabling teams to proceed from spec to concrete prompts without manual rework.

Core Features & Use Cases

  • Extraction of atomic buildable units from UX specs, PRDs, and feature docs.
  • Dependency mapping and build-order sequencing to ensure correct task order.
  • Generation of self-contained prompts that include context, requirements, states, and interactions for tools like v0, Bolt, or Claude frontend-design.
  • Use Case: A large feature doc is converted into a chain of prompts that progressively implement foundations, layout, components, and interactions.

Quick Start

Use ux-spec-to-prompts to transform a UX spec into a series of self-contained prompts for UI-generation tools. Provide a UX spec document as input to receive a ready-to-use prompt sequence.

Frequently Asked Questions about ux-spec-to-prompts

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

FAQPage Schema
How do I convert a UX spec into prompts for UI generation tools?

To convert a UX spec into UI prompts, provide your feature document as input to extract atomic buildable units, map their dependencies, and generate a sequenced chain of self-contained prompts with full context and interaction states.

Can I use a PRD to generate build-order prompts for v0 or Bolt?

Yes, you can use a PRD to generate build-order prompts for tools like v0 or Bolt. The process extracts atomic units from PRDs and outputs standalone prompts that progressively implement foundations, layout, components, and interactions.

What is the best way to structure UI prompts for complex feature docs?

The best way to structure UI prompts for complex feature docs is mapping dependencies to create a build-order sequence. This approach breaks documents into atomic units and outputs standalone prompts containing full context, requirements, states, and interactions.

Do I need to manually add context to prompts generated from a UX specification?

No, you do not need to manually add context to prompts generated from a UX specification. The transformation process outputs standalone prompts that already include all required context, requirements, states, and interactions for UI generation tools.

How does dependency mapping work when transforming UX specs into UI prompts?

Dependency mapping works by identifying relationships between extracted atomic units to sequence them correctly. It ensures the generated build-order prompts guide implementation progressively from foundational elements to final polish without manual rework.

Why should I sequence prompts for UI generation instead of using one large prompt?

Sequencing prompts for UI generation prevents manual rework by ensuring correct task order. Extracting atomic units and mapping dependencies allows progressive implementation of foundations, layout, and components, providing self-contained context that large prompts often lose.