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Shape

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tyfarrago-hub
shape

Plan the UX and UI for a feature before writing code. Runs a structured discovery interview, then produces a design brief that guides implementation. Use during the planning phase to establish design direction, constraints, and strategy before any code is written.

Overview

Publishertyfarrago-hub
Repositorytaste
Skill nameshape
Stars
4
Forks
0
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by tyfarrago-hub on GitHub. Read the source before you install it.

Installation

Install the Shape 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/tyfarrago-hub/taste/tree/main/skills/shape
  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/tyfarrago-hub/taste.git /tmp/taste
mkdir -p .claude/skills
cp -r /tmp/taste/skills/shape .claude/skills/shape
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shape 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 Shape 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 Shape 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.

MANDATORY PREPARATION

Invoke /impeccable, which contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding. If no design context exists yet, you MUST run /impeccable teach first.


Shape the UX and UI for a feature before any code is written. This skill produces a design brief: a structured artifact that guides implementation through discovery, not guesswork.

Scope: Design planning only. This skill does NOT write code. It produces the thinking that makes code good.

Output: A design brief that can be handed off to /impeccable craft, /impeccable, or any other implementation skill.

Philosophy

Most AI-generated UIs fail not because of bad code, but because of skipped thinking. They jump to "here's a card grid" without asking "what is the user trying to accomplish?" This skill inverts that: understand deeply first, so implementation is precise.

Phase 1: Discovery Interview

Do NOT write any code or make any design decisions during this phase. Your only job is to understand the feature deeply enough to make excellent design decisions later.

Ask these questions in conversation, adapting based on answers. Don't dump them all at once; have a natural dialogue. STOP and call the AskUserQuestion tool to clarify.

Purpose & Context

  • What is this feature for? What problem does it solve?
  • Who specifically will use it? (Not "users"; be specific: role, context, frequency)
  • What does success look like? How will you know this feature is working?
  • What's the user's state of mind when they reach this feature? (Rushed? Exploring? Anxious? Focused?)

Content & Data

  • What content or data does this feature display or collect?
  • What are the realistic ranges? (Minimum, typical, maximum, e.g., 0 items, 5 items, 500 items)
  • What are the edge cases? (Empty state, error state, first-time use, power user)
  • Is any content dynamic? What changes and how often?

Design Goals

  • What's the single most important thing a user should do or understand here?
  • What should this feel like? (Fast/efficient? Calm/trustworthy? Fun/playful? Premium/refined?)
  • Are there existing patterns in the product this should be consistent with?
  • Are there specific examples (inside or outside the product) that capture what you're going for?

Constraints

  • Are there technical constraints? (Framework, performance budget, browser support)
  • Are there content constraints? (Localization, dynamic text length, user-generated content)
  • Mobile/responsive requirements?
  • Accessibility requirements beyond WCAG AA?

Anti-Goals

  • What should this NOT be? What would be a wrong direction?
  • What's the biggest risk of getting this wrong?

Phase 2: Design Brief

After the interview, synthesize everything into a structured design brief. Present it to the user for confirmation before considering this skill complete.

Brief Structure

1. Feature Summary (2-3 sentences) What this is, who it's for, what it needs to accomplish.

2. Primary User Action The single most important thing a user should do or understand here.

3. Design Direction How this should feel. What aesthetic approach fits. Reference the project's design context from .impeccable.md and explain how this feature should express it.

4. Layout Strategy High-level spatial approach: what gets emphasis, what's secondary, how information flows. Describe the visual hierarchy and rhythm, not specific CSS.

5. Key States List every state the feature needs: default, empty, loading, error, success, edge cases. For each, note what the user needs to see and feel.

6. Interaction Model How users interact with this feature. What happens on click, hover, scroll? What feedback do they get? What's the flow from entry to completion?

7. Content Requirements What copy, labels, empty state messages, error messages, and microcopy are needed. Note any dynamic content and its realistic ranges.

8. Recommended References Based on the brief, list which impeccable reference files would be most valuable during implementation (e.g., spatial-design.md for complex layouts, motion-design.md for animated features, interaction-design.md for form-heavy features).

9. Open Questions Anything unresolved that the implementer should resolve during build.


STOP and call the AskUserQuestion tool to clarify. Get explicit confirmation of the brief before finishing. If the user disagrees with any part, revisit the relevant discovery questions.

Once confirmed, the brief is complete. The user can now hand it to /impeccable, or use it to guide any other implementation approach. (If the user wants the full discovery-then-build flow in one step, they should use /impeccable craft instead, which runs this skill internally.)

Frequently asked questions

What does the Shape AI skill do?

Plan the UX and UI for a feature before writing code. Runs a structured discovery interview, then produces a design brief that guides implementation. Use during the planning phase to establish design direction, constraints, and strategy before any code is written.

Why use Shape on TypingMind?

Because you install it once and use it with any model. Shape 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 Shape in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tyfarrago-hub/taste/tree/main/skills/shape. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Shape?

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 Shape?

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

Is the Shape AI skill free?

It is published on GitHub by tyfarrago-hub. Check the repository for licensing terms. 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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