Ux Design From Scratch logo

Ux Design From Scratch

Organization
Uxcel-Lab
ux-design-from-scratch

Orchestrated, build-from-zero UX workflow. Establishes context once, then composes the generative ladder in order — foundations (color, type, spacing) → components → screens → flows — applying each skill with relevance gating, and hands the result to design-review. Trigger when the user is starting a new product/app/UI from scratch, "help me design an app", "set up a design system and screens", "I'm starting a new product", or any multi-artifact design build — but NOT when they ask for one specific screen or component (let that skill trigger directly).

Overview

PublisherUxcel-Lab
Repositoryproduct-skills
Skill nameux-design-from-scratch
Stars
35
Forks
8
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

    Published by Uxcel-Lab on GitHub. Read the source before you install it.

Installation

Install the Ux Design From Scratch 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/Uxcel-Lab/product-skills/tree/main/ux/workflows/design-from-scratch
  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/Uxcel-Lab/product-skills.git /tmp/product-skills
mkdir -p .claude/skills
cp -r /tmp/product-skills/ux/workflows/design-from-scratch .claude/skills/ux-design-from-scratch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ux Design From Scratch 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 Ux Design From Scratch 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 Ux Design From Scratch 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.

Design From Scratch (UX Creation Orchestrator) Skill

How this skill behaves (read first)

This is the front door for building a new design from zero, and the generative twin of ux-design-review. Where design-review orchestrates the validation direction (generative → audit), this skill orchestrates the compositional direction (generative → generative): it sequences the scope ladder — foundations → components → screens → flows — pulling in each lower-scope skill as the work needs it, then hands the result to design-review for validation.

It is the executable form of the compositional orchestration section of docs/orchestration-policy.md. Its whole job is to avoid two failures: building a single screen with no system underneath it, and over-building everything (all foundations, all 12 components) when the product only needs a few.

When NOT to use this skill: if the user asks for one specific artifact ("design a pricing page", "build a date-picker"), let that skill trigger directly. This orchestrator is for multi-artifact, from-scratch builds. Explicit scope overrides orchestration.


Step 0 — Establish the context profile (once)

The single most important field here is the inverse of the review case:

  • Design system in play? For a true from-scratch build the answer is usually no → the foundation skills are in scope and come first. If the user does have tokens/a styleguide already, skip the foundations and start at components/screens, inheriting their system (the suppression matrix, applied to creation).
  • What's being built — a single screen with its system, a small flow, or a whole product surface? This sets how far down the ladder to go and how many screens/components to compose.
  • Platform — mobile vs. web (changes layout, touch targets, navigation patterns).
  • Brand / audience / industry — drives the gated decisions inside the foundation and screen skills (color emotion, tone, security posture).

State the assumptions you're proceeding with, then build in order.


Step 1 — Compose the ladder, gating at each rung

Walk the ladder top-down. At each rung, classify the child skills into core / offer / skip (see the policy's compositional model) — don't apply every skill at a rung by default.

Child skills are named by their installable skill name. Compose one only if it's installed; if a named skill isn't present, apply that rung's intent inline with general best practice and note the gap rather than blocking the build.

Rung 1 — Foundations (only if no design system)

Establish the system first so everything above is consistent:

  • Core: ux-color, ux-typography, ux-layout-spacing-grids — a product needs a palette, type scale, and spacing system before screens are meaningful.
  • Offer: ux-iconography (if the product is icon-heavy).
  • Skip entirely if a design system already exists — inherit its tokens.

Each foundation skill still gates its own context-dependent decisions (don't auto-pick dark mode, brand saturation, etc.).

Rung 2 — Components (only those the screens need)

Pull in component skills on demand, driven by the screens being built — not all of them:

  • A form-bearing screen → ux-inputs-and-forms, ux-buttons, ux-selection-controls.
  • A data screen → ux-tables, ux-search.
  • Overlays/feedback → ux-modals-and-dialogs, ux-notifications-and-toasts, ux-loaders-and-progress.
  • Navigation → ux-navigation, ux-menus.

Building every component skill "to be safe" is the bandwagon failure — only compose what a requested screen actually contains.

Rung 3 — Screens (the artifacts the user asked for)

Build the requested screens with the relevant skill (ux-login-signup, ux-pricing, ux-dashboard, ux-settings, ux-empty-states, ux-landing-page, ux-activity-feed, ux-contact-support). Each screen skill gates its own context-dependent levers and reuses the foundations/components above rather than re-deciding them.

Rung 4 — Flows (if the build spans multiple screens as a journey)

If the product needs a journey, compose the flow skill (ux-onboarding, ux-checkout-payment, ux-error-recovery, ux-offboarding), which sequences the screens into a coherent path.

Consistency rule: decisions made at a lower rung propagate up. A color/spacing decision made once in foundations is reused by every component and screen — don't re-litigate it per screen. This is the whole point of building bottom-up.


Step 2 — Validate via design-review

When the artifacts exist, hand them to ux-design-review (if installed), which applies the audit policy (Tier A auto-runs; Tier B offered; and since you just built the foundations, the visual-foundation audits are in scope here, not suppressed — the design system is brand-new and worth checking). Resolve any findings back toward the primary task. If ux-design-review isn't installed, run whichever audit lenses are present directly, or self-review against the policy.


Common do/don't patterns

❌ Don't✅ Do
Jump straight to screens with no color/type/spacing systemEstablish foundations first (when there's no existing design system)
Build all 12 component skills "to be safe"Compose only the components the requested screens contain
Re-decide color/spacing inside every screenDecide once in foundations; reuse upward
Run this orchestrator for a single named screen/componentLet that skill trigger directly (explicit scope wins)
Skip foundations because "the screen looks fine"A screen with no system underneath isn't a design — it's a mockup
Declare done after generatingHand to design-review for validation

Relationship to the policy

This skill is the compositional-orchestration section of docs/orchestration-policy.md in executable form. If the two diverge, the policy governs; update this skill to match it. Its validation twin is ux-design-review.

Source lessons (Uxcel)

This is an orchestrator — its substance lives in the skills it composes. See the source lessons in each foundation, component, screen, and flow skill it routes to (e.g. ux-color, ux-inputs-and-forms, ux-pricing, ux-onboarding).

Frequently asked questions

What does the Ux Design From Scratch AI skill do?

Orchestrated, build-from-zero UX workflow. Establishes context once, then composes the generative ladder in order — foundations (color, type, spacing) → components → screens → flows — applying each skill with relevance gating, and hands the result to design-review. Trigger when the user is starting a new product/app/UI from scratch, "help me design an app", "set up a design system and screens", "I'm starting a new product", or any multi-artifact design build — but NOT when they ask for one specific screen or component (let that skill trigger directly).

Why use Ux Design From Scratch on TypingMind?

Because you install it once and use it with any model. Ux Design From Scratch 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 Ux Design From Scratch in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Uxcel-Lab/product-skills/tree/main/ux/workflows/design-from-scratch. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ux Design From Scratch?

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 Ux Design From Scratch?

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

Is the Ux Design From Scratch AI skill free?

Yes. It is published on GitHub by Uxcel-Lab 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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