Tidyfactor Design

Organization

TidyFactor

tidyfactor-design

TidyFactor Design track — code-native UI design lifecycle engine (Figma alternative). Supports all 7 stages of UI design (Discovery, Foundation, Architecture, Components, Motion, Quality, Delivery) with zero per-page CSS/JS and zero build step. Pluggable CSS foundations (Native, Tailwind utility-first, daisyUI, Hybrid, shadcn, Pico, Bootstrap, Alpine) and full Arabic/RTL support (El Messiri/Tajawal, never Amiri above 24px). Trigger on commands "study", "brief", "init", "brand", "typography", "school", "tokens", "palette", "assets", "layout", "nav-footer", "components", "page", "dashboard", "motion", "states", "flow", "i18n", "perf", "audit", "clone", "retrofit", "handoff", "deploy", or requests like "build a design system", "UI design lifecycle", "prototype this website", "Figma alternative", "نموذج أولي تفاعلي", "صمّم لوحة تحكم".

Overview

Publisher	TidyFactor
Repository	`Design`
Skill name	`tidyfactor-design`
Stars	7
Forks	0
Bundled files	32
Links	Skill source Repository Homepage

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.
32 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by TidyFactor on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/TidyFactor/Design/tree/main/.agents/skills/tidyfactor-design
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.

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/TidyFactor/Design.git /tmp/Design
mkdir -p .claude/skills
cp -r /tmp/Design/.agents/skills/tidyfactor-design .claude/skills/tidyfactor-design

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tidyfactor Design 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 Tidyfactor Design 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 Tidyfactor Design 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.

TidyFactor Design (Code-Native UI Design Lifecycle Engine)

A command dispatcher supporting the full UI design lifecycle—from initial discovery through developer handoff—with zero build steps and complete design system consistency.

Lifecycle Commands (24 Commands across 7 Stages)

Lifecycle Stage	User intent / Command	Command File	What it loads
1. Discovery	"Extract design DNA from reference URL/image"	`references/commands/study.md`	`memory/01-design-schools.md` + `memory/06-quality-bar.md`
1. Discovery	"Establish 3-question design context brief"	`references/commands/brief.md`	`memory/01-design-schools.md` + `memory/13-layout-archetypes.md`
2. Foundation	"Start brand-new design system / prototype"	`references/commands/init.md`	`references/workflows/init-prototype.md` + `references/memory/architecture.md` + `references/memory/foundations.md`
2. Foundation	"Scaffold or manage brand.json v2 schema"	`references/commands/brand.md`	`memory/11-brand-json-v2.md` + `memory/02-design-tokens.md`
2. Foundation	"Select mood-routed typography pairing"	`references/commands/typography.md`	`memory/12-typography-matrix.md` + `memory/08-arabic-bilingual.md`
2. Foundation	"Choose design movement / visual direction"	`references/commands/school.md`	`memory/01-design-schools.md`
2. Foundation	"Manage design tokens and brand colors"	`references/commands/tokens.md`	`memory/02-design-tokens.md` + `references/memory/architecture.md`
2. Foundation	"Scaffold color palette from reference image"	`references/commands/palette.md`	`memory/02-design-tokens.md`
2. Foundation	"Asset hygiene and image optimization"	`references/commands/assets.md`	`memory/10-python-tooling.md`
3. Architecture	"Select macrostructure layout archetype"	`references/commands/layout.md`	`memory/13-layout-archetypes.md` + `references/memory/architecture.md`
3. Architecture	"Choose navigation (N1-N9) and footer (Ft1-Ft8)"	`references/commands/nav-footer.md`	`memory/14-nav-footer-catalog.md` + `memory/06-quality-bar.md`
3. Architecture	"Add a new content or marketing page"	`references/commands/page.md`	`references/workflows/init-prototype.md` + `memory/05-component-anatomy.md`
3. Architecture	"Add a new dashboard or app screen"	`references/commands/dashboard.md`	`references/workflows/init-prototype.md` + `memory/05-component-anatomy.md`
4. Components	"Manage shared UI components (8-state wrappers)"	`references/commands/components.md`	`memory/05-component-anatomy.md` + `references/memory/architecture.md`
4. Components	"Define interactive component states"	`references/commands/states.md`	`memory/05-component-anatomy.md`
5. Motion	"Add shared animations, recipes & ambient layers"	`references/commands/motion.md`	`memory/04-motion-principles.md`
5. Motion	"Wire interactive prototype navigation"	`references/commands/flow.md`	`memory/09-prototype-flow.md`
5. Motion	"Add Arabic/RTL or bilingual localization"	`references/commands/i18n.md`	`memory/08-arabic-bilingual.md`
6. Quality	"Verify asset performance budgets & size limits"	`references/commands/perf.md`	`memory/15-performance-budget.md`
6. Quality	"Audit structural consistency & quality bar"	`references/commands/audit.md`	`references/workflows/audit-prototype.md` + `memory/06-quality-bar.md` + `memory/07-consistency-contract.md`
6. Quality	"Extract design system from external site"	`references/commands/clone.md`	`references/workflows/clone-prototype.md` + `memory/03-narrative-conversion.md`
6. Quality	"Unify drifted prototype under design system"	`references/commands/retrofit.md`	`references/workflows/retrofit-prototype.md` + `memory/07-consistency-contract.md`
7. Delivery	"Export developer handoff specs & token map"	`references/commands/handoff.md`	`memory/11-brand-json-v2.md` + `memory/05-component-anatomy.md`
7. Delivery	"Local preview and deployment"	`references/commands/deploy.md`	`memory/06-quality-bar.md`

Non-negotiable constraints

Zero per-page CSS/JS: Every visual token and component style lives inside design-system/. Pages contain markup only.
Single CSS Foundation: Lock Native, Tailwind, daisyUI, Hybrid, shadcn, Pico, Bootstrap, or Alpine once per project; never mix foundations.
Typography Discipline: Arabic display headings use El Messiri, body copy uses Tajawal. Never use Amiri for headings above 24px.
Reduced Motion: prefers-reduced-motion compliance is required on all animated interactions.
Anti-Slop Bar: Reject the 16 Named AI Anti-Pattern Tells and require Pre-Emit Self-Critique score stamps (/* Pre-emit critique: P5 H4 E5 S4 R5 V5 */).

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 Tidyfactor Design AI skill do?

Why use Tidyfactor Design on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TidyFactor/Design/tree/main/.agents/skills/tidyfactor-design. 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 Tidyfactor Design?

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 Tidyfactor Design?

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

Is the Tidyfactor Design AI skill free?

It is published on GitHub by TidyFactor. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

TidyFactor Design (Code-Native UI Design Lifecycle Engine)

Lifecycle Commands (24 Commands across 7 Stages)

Non-negotiable constraints

Bundled files

Frequently asked questions

Related AI Skills

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