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Prd To Ux

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ragnar-pwninskjold
prd-to-ux

Use when translating a PRD, feature spec, or raw product idea into screen-level prompts for web UX generators (Google Stitch, Figma AI, Pencil.dev, Claude Design, v0, or similar). Use before creating visual mockups or wireframes.

Overview

Publisherragnar-pwninskjold
Repositorytech-snacks
Skill nameprd-to-ux
Stars
138
Forks
30
Bundled files
13
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 13 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ragnar-pwninskjold on GitHub. Read the source before you install it.

Installation

Install the Prd To Ux AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ragnar-pwninskjold/tech-snacks/tree/main/plugins/tech-snacks/skills/prd-to-ux
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ragnar-pwninskjold/tech-snacks.git /tmp/tech-snacks
mkdir -p .claude/skills
cp -r /tmp/tech-snacks/plugins/tech-snacks/skills/prd-to-ux .claude/skills/prd-to-ux
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prd To Ux in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Prd To Ux on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Prd To Ux is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

prd-to-ux

Take a PRD (or a raw product idea) and produce tool-agnostic, concept-driven screen prompts for web UX generators — Stitch, Figma AI, Pencil, Claude Design, and similar.

Output describes design intent: what a screen is for, what's visible, how it feels. It does NOT emit Tailwind, component trees, or hex codes (unless the user explicitly supplies them).

Pipeline

  • Step 1 — PRD Shaping (optional) — when no PRD exists. See references/step-1-prd-shaping.md.
  • Gate — PRD Validation — required pass between Step 1 and Step 1.5. See references/prd-validation.md.
  • Step 1.5 — UX Philosophy (required) — 3 distinct philosophies, user picks. See references/step-1-5-ux-philosophy.md.
  • Step 2 — Feature & State Briefs (required) — screens and states per feature. See references/step-2-feature-states.md.
  • Step 3 — Design Direction (optional) — vibe brief, or shadcn-style default. See references/step-3-design-direction.md and references/default-design-direction.md.
  • Step 4 — Screen Prompts Export (required) — one prompt block per screen × state. See references/step-4-screen-prompts.md.

The divergent→convergent pattern shared by Step 1 (features) and Step 1.5 (UX expressions) lives in references/divergent-convergent-pattern.md.

Artifacts

Written to the user's current working directory under:

docs/prd-to-ux/<YYYY-MM-DD>-<project-slug>/
├── 01-prd.md
├── 01b-ux-philosophy.md
├── 02-features-and-states.md
├── 03-design-direction.md        (only if user opted in at Step 3)
└── 04-screen-prompts/
    ├── <feature-1>.md
    └── ...

Project slug is lowercase kebab-case derived from the PRD title or elevator pitch. Skill proposes a slug and lets the user override.

Entry

User invokes /prd-to-ux or references the skill, optionally passing a PRD file path or pasted content.

Opening Move

  1. Introduce the pipeline stages briefly (Step 1 through Step 4, plus the validation gate).
  2. Ask: "Do you have a PRD, or should we build one from an idea?"
  3. Check the target directory docs/prd-to-ux/<today>-<proposed-slug>/ for existing artifacts.
    • Directory exists with artifacts: ask whether to resume at the next missing step or start fresh.
    • Directory does not exist: propose the slug, confirm, then create it and proceed.

Flow Control

  • One step runs at a time. Between steps, show a terse summary (what was produced, where it lives) and ask to proceed or refine. Refinement edits the artifact in place before moving on. This is the phase gate — do not batch steps.
  • Artifacts are written incrementally within each step. A dropped session can be resumed on restart.
  • Skill never auto-selects at any convergence point. User chooses the philosophy, the design direction, the feature scope. See the individual step references for specifics.

Termination

The skill stops after Step 4 (Screen Prompts Export). It does NOT invoke Stitch, Figma AI, Pencil, Claude Design, or any other rendering tool. The user takes the prompts elsewhere.

Edge Cases

  • Vague feature at Step 2: pause, ask targeted questions, update 01-prd.md, resume. Never fabricate.
  • User pastes a PRD mid-flow: write verbatim to 01-prd.md, run validation gate, skip divergent-adversarial at Step 1, proceed to Step 1.5.
  • User rejects all 3 philosophies at Step 1.5: re-diverge with different constraints, or take user-supplied axes. Do not force a choice.
  • Design-direction vs. functional tension (e.g., "minimal" + dense data table): surface in the relevant screen prompt as a note to the rendering tool, don't silently resolve.
  • Platform mismatch (mobile PRD, user plans to paste into a web-focused tool): note in final handoff; suggest specifying platform framing when pasting.

Out of Scope

  • Invoking rendering tools on the user's behalf.
  • Generating code (React, Tailwind, component files).
  • Pixel-level style specs (hex, dp, spring tensions) — unless the user supplied them in Step 3.
  • HTML preview artifacts, consultant-posture mockup proposals.
  • Iteration on rendered output (belongs to the rendering tool).
  • Maintaining a cross-project design system.

Red Flags / Common Rationalizations

ThoughtReality
"Skip the philosophy step, the user knows what they want"Step 1.5 is required. The 3-philosophy frame is where expression-level coherence is decided.
"Auto-pick the recommended philosophy — user seems decisive"Never auto-select. Always wait for the user's choice.
"Skip empty/error states to move faster"No. Every state gets a prompt.
"Add Tailwind classes to make prompts more actionable"The skill is explicitly tool-agnostic. Describe, don't prescribe.
"Batch multiple steps in one message to save turns"Phase gates exist to catch drift early. Run one step at a time.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Prd To Ux AI skill do?

Use when translating a PRD, feature spec, or raw product idea into screen-level prompts for web UX generators (Google Stitch, Figma AI, Pencil.dev, Claude Design, v0, or similar). Use before creating visual mockups or wireframes.

Why use Prd To Ux on TypingMind?

Because you install it once and use it with any model. Prd To Ux is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Prd To Ux in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ragnar-pwninskjold/tech-snacks/tree/main/plugins/tech-snacks/skills/prd-to-ux. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Prd To Ux?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Prd To Ux?

As many as you like. As long as a model supports skills, you can use Prd To Ux with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prd To Ux AI skill free?

Yes. It is published on GitHub by ragnar-pwninskjold under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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