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Product To Storybook

Community
bradfrost
product-to-storybook

Backfill an existing product's screens into your design system's Storybook as representative page templates, rebuilt from the LOCAL design system wherever the product already uses it, with every region that isn't from the system flagged in plain sight. Use when the user says "get this product into Storybook", "backfill our screens", "represent this product in the design system", "I want to see how a component change ripples across products", "relocate these pages into Storybook", or names a product (a site, an app, a repo, a URL) and a Storybook. Relocation, not translation: it moves screens in and flags what isn't from the system; it never converts bespoke UI onto the system (that's vibe-killer) and never plans a migration (that's ds-adoption-plan). Also runs a refresh that reports how far the product has drifted from its Storybook copy since the last capture.

Overview

Publisherbradfrost
Repositoryskills
Skill nameproduct-to-storybook
Stars
51
Forks
1
Bundled files
16
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.

  • 16 bundled files

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

  • Open source

    Published by bradfrost on GitHub. Read the source before you install it.

Installation

Install the Product To Storybook 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/bradfrost/skills/tree/main/skills/product-design/product-to-storybook
  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/bradfrost/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/product-design/product-to-storybook .claude/skills/product-to-storybook
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product To Storybook 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 Product To Storybook 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 Product To Storybook 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.

Product to Storybook

Your design system's Storybook shows every component in isolation. It shows almost nothing about the products those components live in. So when you change a card or a table, you're guessing at what happens downstream, and the only way to stop guessing is to open every product, one at a time, and look.

This skill fixes that. It takes an existing product, works out its core page templates, and rebuilds representative versions of them inside your Storybook, using your local design system wherever the product already uses it. Once every product is in there, a change to one component shows its ripple across all of them at once, and you can design the next version of a product right there in Storybook, without tripping over a backend.

It's a backfill. The screens it produces are page templates with a real cross-section of content frozen into them, not live mirrors of every URL. That's the point: representative enough to design against, and detached enough that nothing behind them can break.

What this is not

  • Not vibe-killer. That one translates a bespoke page onto your system. This one relocates a product's screens into Storybook and flags what isn't from the system. It never converts a region, ever. If you want the flagged regions converted, that's a vibe-killer run afterward.
  • Not ds-adoption-plan. That one prices and schedules a migration. This one produces screens you can look at today, plus a list of gaps the system might want to close.
  • Not a prototyping tool. Every screen it builds already exists. "This product doesn't exist yet" is prototyping, and prototyping is a different job with different placeholders.
  • Not production work. It writes stories and fixtures. It does not author recipes, patterns, or components in your library on its own. When the product carries UI that isn't from the system, it asks what you want done with it, and the answer is recorded before it does anything.

Ground rules

  1. The local design system wins. Stories render with the version of the system that's checked out next to them, not the version the product pins. That's what makes the ripple visible. The product's pinned version gets recorded, and every prop or slot that no longer exists locally gets flagged as version drift in the gap ledger, not silently fixed.
  2. Templates, not URLs. A site with 3,000 pages has maybe five templates. Find the templates and their permutations (within reason), and build those. The inventory gets shown to the user and confirmed before a single story is written, because a wrong grouping here is the one mistake that wastes the whole run.
  3. Real content, frozen once. Every story carries a cross-section of the product's actual content, chosen to show the shapes the system has to support: the post with the YouTube embed, the card with the 60-character title, the list with 40 tags. Captured into fixtures with a date and a source URL. Never lorem, and never fetched live.
  4. Never a real person's data. Screens behind a login get fixtures written from the shape of the data, not from anyone's account. If you find real user data in a capture, stop, delete it, and say so. This is a stop condition, not a warning.
  5. Everything is marked. Every region in a story says where it came from: data-origin="system", data-origin="product", or data-placeholder="missing-component". reference/MARKERS.md is the convention. The gap ledger is scraped from these marks, so a region you forgot to mark is a gap you'll never see.
  6. Product CSS stays in its lane. Anything the product's own stylesheet contributes is wrapped in @scope and loaded only on that product's stories. Then you prove it: render a design system story before and after, and confirm it didn't change. The ripple runs from the system outward. It never runs from a product back into the system.
  7. Some shift is expected, and you say so. A story built on the local system should look a little different from the live page, because the local system is newer than what the product pins. The side-by-side report shows both and tells the reader plainly which differences are version drift and which are the skill getting it wrong.
  8. Nothing gets overwritten on a refresh. A later run reports what drifted and asks. The person may have redesigned that screen on purpose.

How a run goes

Mode 1 — Backfill a product

  1. Storybook intake (intake/STORYBOOK-INTAKE.md), once per design system. Learns how this Storybook writes a story, where product screens should live, and how the system loads. Skip it when product-to-storybook/STORYBOOK.md already exists and is current.
  2. Product intake (intake/PRODUCT-INTAKE.md), once per product. Five questions, each with a default. Records the answers in the product's GARAGE.md so a refresh doesn't ask again.
  3. Phase 1 — Inventory (phases/phase-1-inventory.md). Find the templates and their permutations. Stop and show the user. Wait.
  4. Phase 2 — Capture (phases/phase-2-capture.md). Choose the content cross-section and freeze it into fixtures.
  5. Phase 3 — Relocation (phases/phase-3-relocation.md). Write the stories. System components where the product uses them, marked regions everywhere else, product CSS scoped.
  6. Phase 4 — Proof (phases/phase-4-proof.md). Render, compare side by side, prove the system's own stories didn't change, write the gap ledger and the report.

Mode 2 — Refresh (drift check)

phases/refresh.md. Re-reads the product, compares it to what's in Storybook, and reports what moved: templates added or removed, permutations changed, the pinned version bumped, new UI that isn't from the system. It writes a drift report and changes nothing else.

Mode 3 — Build or refresh the Storybook profile

Run intake/STORYBOOK-INTAKE.md on its own. The right move when the Storybook moves to a new major version, when stories start landing in the wrong section, or when the system's load order changed.

Reading the product

A source repo, a live URL, or both. Question 1 of intake/PRODUCT-INTAKE.md says what each one buys, in the words the user sees. Record which one you had; every downstream artifact says so.

Where things go

Stories go into the design system repo, in the Storybook section the user chose (default: Products/<product>/). One story file per template, permutations as named stories inside it, each template leading with a representative Default. Fixtures sit next to the story file.

The paper trail lives at the design system repo's root:

product-to-storybook/
├── STORYBOOK.md                     ← how this Storybook works, built once
├── markers.css                      ← the origin/placeholder stylesheet
└── <product>/
    ├── GARAGE.md                    ← intake answers, source, pinned version
    ├── INVENTORY.md                 ← templates and permutations, confirmed
    ├── GAPS.md                      ← the gap ledger
    ├── REPORT.md                    ← side-by-side proof, what was verified
    └── drift/
        └── YYYY-MM-DD.md            ← one per refresh

A sibling of any ds-inspection/, vibe-killer/, or ds-adoption-plan/ folder. If the product repo carries adoption-plan/MAPPING.md or product-inspection/GARAGE.md from the sibling skills, read them first. They already say which regions are system and which are custom, and you confirm that against the rendered page instead of starting over.

Files in this kit

  • intake/STORYBOOK-INTAKE.md — learn the host Storybook, once
  • intake/PRODUCT-INTAKE.md — the five questions, once per product
  • phases/phase-1-inventory.md — templates and permutations, then the checkpoint
  • phases/phase-2-capture.md — the content cross-section, frozen
  • phases/phase-3-relocation.md — write the stories
  • phases/phase-4-proof.md — render, compare, prove, report
  • phases/refresh.md — the drift check
  • reference/MARKERS.md — the origin and placeholder convention
  • reference/CAPABILITIES.md — what this skill can and cannot do
  • templates/ — output shells for every file in the paper trail

Related course lessons

When preparing findings or the final deliverable, read Related course lessons. Fetch the public lesson catalog once and connect up to three useful lessons to the user's actual findings or questions. Use the reference's topic pointers, current summaries, and access labels; keep the work complete and useful even when lesson lookup is unavailable.

Voice

Plain, energetic, specific. The inventory is a list of templates with counts. The gap ledger is a table with screenshots. The report says what was rendered, what matched, what shifted, and why. The person reading it should finish knowing exactly which screens are now in Storybook, which regions aren't from the system, and what to do about them.

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 Product To Storybook AI skill do?

Backfill an existing product's screens into your design system's Storybook as representative page templates, rebuilt from the LOCAL design system wherever the product already uses it, with every region that isn't from the system flagged in plain sight. Use when the user says "get this product into Storybook", "backfill our screens", "represent this product in the design system", "I want to see how a component change ripples across products", "relocate these pages into Storybook", or names a product (a site, an app, a repo, a URL) and a Storybook. Relocation, not translation: it moves screen...

Why use Product To Storybook on TypingMind?

Because you install it once and use it with any model. Product To Storybook 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 Product To Storybook in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bradfrost/skills/tree/main/skills/product-design/product-to-storybook. 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 Product To Storybook?

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 Product To Storybook?

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

Is the Product To Storybook AI skill free?

Yes. It is published on GitHub by bradfrost 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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