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Ui Craft

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shoryabansalgithub
ui-craft

Build and review UI end to end. Carries four bodies of knowledge - Refactoring UI's value systems and hierarchy techniques, Shift Nudge's craft principles and UI patterns, the bans registry of refused artifacts, and total command of Tailwind as the implementation mechanism - plus a product-design section (a fixed 12-16px Inter/Geist system, product judgment, states, copy, patterns) for apps, dashboards, tables, forms and settings. Use when building, styling, reviewing, or auditing any interface - component, page, app, dashboard, landing page - when picking type, spacing, color, shadow or radius values, or when work "looks off", "looks amateur", or "looks AI-generated".

Overview

Publishershoryabansalgithub
Repositoryui-craft
Skill nameui-craft
Stars
4
Forks
0
Bundled files
36
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.

  • 36 bundled files

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

  • Open source

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

Installation

Install the Ui Craft 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/shoryabansalgithub/ui-craft/tree/main/skills/ui-craft
  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/shoryabansalgithub/ui-craft.git /tmp/ui-craft
mkdir -p .claude/skills
cp -r /tmp/ui-craft/skills/ui-craft .claude/skills/ui-craft
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ui Craft 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 Ui Craft 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 Ui Craft 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.

UI Craft

Four references, one order of operations. Nothing here is a style. The systems decide the values, the bans say what is refused, Tailwind installs the result.

Keep your implicit thoughts to yourself. Don't let them cloud your judgement. The skill file is the truth source here.

ReferenceWhat it holdsLoad it when
references/refactoring-ui.mdthe value systems (spacing, type, color, shadow, line length) and the hierarchy techniquesalways, before any value is chosen
references/shift-nudge.mdcraft principles, component states, UI patterns, imagery and icon rules, handoffdesigning a specific pattern, or reviewing for missed states
bans.mdthe artifacts refused by name, plus the anti-slop axes and banned conceitsbefore building, and again before the verdict. Run the script, do not read the list
references/resolution.mdResolution, not expansion - the detail standard, the reconstruction test, and the spec + checker that make it a gatebefore answering any request for more detail, and before any build is called done
references/pinterest.mdsourcing reference, a hard gate - the two-word query, the dimension set, the ## Reference log, quantify-or-discard, and why a supplied reference outranks the search without cancelling itstep 1.5, every build. Run scripts/validate_reference.py
references/tailwind.mdTailwind as a mechanism - theme layer, arbitrary-value decision, variant algebra, conflicts, container queries, dark modethe moment a decision becomes code
pen.mdworking on a pen.dev canvas - how every step and gate maps onto .pen variables, text styles, execute and Export, plus the Pinterest route when there is no Chromethe work is on a .pen file: inside the pen.dev app, or through the pencil MCP tools
product-design/SKILL.mdthe product section - a fixed system (Inter/Geist, 12/14/16px, one weight, one accent, light and dark verified), product judgment, surfaces, patterns, states, copy, and its own checkerthe surface is a product: app, dashboard, table, form, settings, admin, internal tool

Deeper material sits behind references/systems.md (building a palette from scratch), references/diagnose.md (symptom to fix, load first when improving existing UI), references/techniques.md (depth, light, baseline alignment), and assets/tokens.css (a contrast-verified starting token sheet).


House rules - these outrank every reference in this skill

Stated by the person whose product it is. Where a reference disagrees, the reference is wrong here.

1. Three type sizes per screen. Maximum. Overrides Shift Nudge's "Rule of Four". The eleven-step scale in refactoring-ui.md is the menu you pick from, not the number you may use. Three, chosen from it, on any one screen.

2. No bold. Everything regular or below. Overrides refactoring-ui.md's "two weights is enough: 400/500 body, 600/700 emphasized" and its "nothing below 400 in UI", and overrides Shift Nudge's "Bold to Black" for titles and "bold = active/selected".

3. No italics, in any form. Already refused by the registry, but the ban was named italic-serif-display and only caught the italic class and font-style: italic. It now also catches the <em> and <i> tags, which render italic without ever naming it, and it no longer misfires on Tailwind's not-italic or on <i> carrying an icon-font class. Where <em> was carrying meaning, use <strong> or a colour change. This removes the emphasis channel Shift Nudge's Callouts section reaches for, so callouts fall back to size, case and lock-up.

What this costs, and what carries hierarchy instead

Refactoring UI's central technique is emphasis through weight and color rather than size. Rule 2 removes weight. That is one of three channels gone, so the remaining ones have to do more work, deliberately:

  • Colour becomes the primary emphasis channel. The three-text-colour rule (dark, grey, lighter grey) is now load-bearing, not a refinement. All three still clear 4.5:1.
  • Space is the second. "More space around a group than within it" stops being a tidiness rule and becomes the main way relatedness reads.
  • Size is third and is capped at three steps, so the gaps between those three must be large. Adjacent steps from the scale will not separate.
  • Position and case carry what is left. Same size, different meaning, is signalled by where it sits, not by how heavy it is. Not by slant either, per house rule 3.

Two consequences to design around rather than discover:

  • Interactive text can no longer be signalled by weight. Colour, underline, position or a container must do it. Shift Nudge's own accessibility note already required a second channel beyond colour, so pick that second channel early.
  • bans.md refuses flat-type-hierarchy. Three sizes and one weight makes that ban easy to trip. Passing it now depends entirely on the size gaps and the colour ramp being genuinely distinct. Check it, do not assume it.

In Tailwind: cap the generated ramp by declaring only the three --text-* steps you will use, and only the weights at or below regular. Anything not declared cannot be reached for by reflex.


Order of operations

1. Understand before opening anything. Shift Nudge's 8-step process, step 1. Questions first, tools second. Determine complexity before deciding whether to wireframe.

Then name the surface class. A product (app, dashboard, table, form, settings, admin, internal tool) loads product-design/SKILL.md and follows its order: its fixed system replaces step 2's choices, and its checker is a fourth gate at step 8. A brand or marketing surface stays on this file's flow.

1.5. Search Pinterest, before a single value is chosen. This step is a gate, not advice. Open Pinterest in the browser (claude-in-chrome) and search {subject} {dimension}. Two words. Three only if the third is a noun. Four or more is refused - count them before sending. Refine by clicking Pinterest's own chips, never by lengthening the query. Every extra adjective drags the board: casino typography returns curated boards, casino website design luxury dark interface returns affiliate art, and record sleeve spine typography catalogue number shelf rack returns Etsy.

Log it in the ## Reference section of the project's design.md: the brief, the subject, what the user supplied, every query with the pin URLs copied off the live page, and the extraction table where each borrowed observation became a number. Then run the checker and paste its output:

bash
python3 scripts/validate_reference.py PROJECT

Step 2 does not start until it prints PASS. A reference the user supplied still outranks every pin, but it shrinks the search to one query for what it leaves unanswered, it does not cancel it. No browser, a hurry, or "the brief is obvious" are not waivers. The only waiver is the user saying so, quoted verbatim in a waived: line. Full method and the log format in references/pinterest.md.

2. Set the systems once. Spacing, type, colour, shadow, radius, from refactoring-ui.md. Every value comes off a scale. Picking ad hoc is the single biggest cause of amateur-looking UI, and no amount of later polish recovers it.

3. Install the systems as theme variables, not as classes. This is the seam between the references: refactoring-ui.md and shift-nudge.md decide the number, references/tailwind.md section 1 puts it in @theme so the utilities generate themselves. A value that reaches the markup as an arbitrary literal has escaped the system.

4. Design one real feature, in grayscale, at ~400px. Not the shell. Not the full canvas. Colour comes after the layout works.

5. Build in short design-to-code cycles. Do not componentize until the design is stable.

6. Design every state, not the happy one. Shift Nudge lists them per pattern: inputs get default / hover / focus / typing / error / success / disabled; buttons get press, disabled, destructive, selected; anything user-generated gets its truncation and empty variants. Missing states are the most common handoff failure and the cheapest to catch.

7. Resolve before you expand. When more detail is asked for, raise the resolution of what already exists rather than adding sections, components or adjectives. The test is whether another agent could rebuild the element without seeing the reference and without making a meaningful visual decision of their own. Full standard in references/resolution.md. One surface resolved and gated before the next is started - the doctrine fails under breadth every time.

7b. Decide attention before drawing anything twice. Before a second container reuses a treatment, decide what rank each object holds on this page. The hero object takes the largest type step, the deepest surface and the most room; a footnote takes the smallest of each. A treatment applied to everything is a template, and the three monotony checks below exist because atom-level resolution passes cleanly while a page reads as generated.

8. Run ALL THREE gates before claiming done.

bash
python3 scripts/validate_reference.py PROJECT   # the Pinterest search, again
python3 scripts/validate_bans.py SOURCE
python3 scripts/validate_resolution.py PROJECT
python3 scripts/validate_resolution.py --help   # the design.md spec format

validate_resolution.py fails on surface-monotony (one treatment on >60% of containers), step-monotony (one type step on >55% of sized elements) and rhythm-monotony (<3 vertical rhythms across 5+ sections). These are the measurable shape of "no craft, no visual hierarchy", and they are the checks that catch a build every other gate passes. On product surfaces pass --register product: it skips step-monotony only, because a 12/14/16 system puts most text on one size and carries hierarchy in colour.

A run that ends without all three checkers' output pasted is unfinished, whatever the render looks like. A monotony failure is not a warning. It means the composition was never decided, and no amount of atom-level polish fixes it.

bans.md and the Pinterest search are the two hard gates here. Neither has a justification path: a ban, or the search, lifts on an explicit instruction from the user and nothing else. A run whose output was never pasted into the transcript is unverified regardless of how the render looks.


Where the references genuinely disagree

Everything else in them is compatible. These four are not, and guessing produces work that fails one source while satisfying another.

Grayscale. refactoring-ui.md says design in grayscale first. bans.md says a finished product surface that survives desaturation unchanged has no accent layer and is a rebuild. Not a contradiction: one is a design phase, the other is a ship gate. Grayscale is where you start and never where you end.

Typefaces. refactoring-ui.md is silent on them. shift-nudge.md calls typography the biggest single differentiator. bans.md refuses a named list of overused faces, but on brand surfaces only - it explicitly permits Inter, SF Pro and system stacks on product surfaces. Check which surface class you are on before treating the font ban as active.

Type sizes. refactoring-ui.md gives an eleven-step scale, shift-nudge.md caps a screen at four, the house rule caps it at three. The scale is the menu; the cap is the budget. Both hold at once. On product surfaces the three are fixed at 12/14/16 by the user's instruction. That is closer than bans.md's 1.25x step and passes only through the checker's micro/body exemption (pairs 2px or more apart at 0.70-0.90), so no fourth size fits between them.

Shadows. refactoring-ui.md gives five elevations and a refined two-part variant in references/techniques.md. Use one set or the other, never both in one project. bans.md separately refuses one shadow value repeated across every elevation, which is what happens when neither set was actually adopted.

Weight. Fully resolved by house rule 2 above. No reference wins this one.

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 Ui Craft AI skill do?

Build and review UI end to end. Carries four bodies of knowledge - Refactoring UI's value systems and hierarchy techniques, Shift Nudge's craft principles and UI patterns, the bans registry of refused artifacts, and total command of Tailwind as the implementation mechanism - plus a product-design section (a fixed 12-16px Inter/Geist system, product judgment, states, copy, patterns) for apps, dashboards, tables, forms and settings. Use when building, styling, reviewing, or auditing any interface - component, page, app, dashboard, landing page - when picking type, spacing, color, shadow or ra...

Why use Ui Craft on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shoryabansalgithub/ui-craft/tree/main/skills/ui-craft. 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 Ui Craft?

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 Ui Craft?

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

Is the Ui Craft AI skill free?

It is published on GitHub by shoryabansalgithub. 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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