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Arrange

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fengshao1227
arrange

Improve layout, spacing, and visual rhythm. Fixes monotonous grids, inconsistent spacing, and weak visual hierarchy. Use when the user mentions layout feeling off, spacing issues, visual hierarchy, crowded UI, alignment problems, or wanting better composition.

Overview

Publisherfengshao1227
Repositoryccg-workflow
Skill namearrange
Stars
5.9K
Forks
446
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 fengshao1227 on GitHub. Read the source before you install it.

Installation

Install the Arrange 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.
  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/fengshao1227/ccg-workflow.git /tmp/ccg-workflow
mkdir -p .claude/skills
cp -r /tmp/ccg-workflow/templates/skills/impeccable/arrange .claude/skills/arrange
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Arrange 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 Arrange 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 Arrange 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.

Assess and improve layout and spacing that feels monotonous, crowded, or structurally weak — turning generic arrangements into intentional, rhythmic compositions.

MANDATORY PREPARATION

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


Assess Current Layout

Analyze what's weak about the current spatial design:

  1. Spacing:

    • Is spacing consistent or arbitrary? (Random padding/margin values)
    • Is all spacing the same? (Equal padding everywhere = no rhythm)
    • Are related elements grouped tightly, with generous space between groups?
  2. Visual hierarchy:

    • Apply the squint test: blur your (metaphorical) eyes — can you still identify the most important element, second most important, and clear groupings?
    • Is hierarchy achieved effectively? (Space and weight alone can be enough — but is the current approach working?)
    • Does whitespace guide the eye to what matters?
  3. Grid & structure:

    • Is there a clear underlying structure, or does the layout feel random?
    • Are identical card grids used everywhere? (Icon + heading + text, repeated endlessly)
    • Is everything centered? (Left-aligned with asymmetric layouts feels more designed, but not a hard and fast rule)
  4. Rhythm & variety:

    • Does the layout have visual rhythm? (Alternating tight/generous spacing)
    • Is every section structured the same way? (Monotonous repetition)
    • Are there intentional moments of surprise or emphasis?
  5. Density:

    • Is the layout too cramped? (Not enough breathing room)
    • Is the layout too sparse? (Excessive whitespace without purpose)
    • Does density match the content type? (Data-dense UIs need tighter spacing; marketing pages need more air)

CRITICAL: Layout problems are often the root cause of interfaces feeling "off" even when colors and fonts are fine. Space is a design material — use it with intention.

Plan Layout Improvements

Consult the spatial design reference from the frontend-design skill for detailed guidance on grids, rhythm, and container queries.

Create a systematic plan:

  • Spacing system: Use a consistent scale — whether that's a framework's built-in scale (e.g., Tailwind), rem-based tokens, or a custom system. The specific values matter less than consistency.
  • Hierarchy strategy: How will space communicate importance?
  • Layout approach: What structure fits the content? Flex for 1D, Grid for 2D, named areas for complex page layouts.
  • Rhythm: Where should spacing be tight vs generous?

Improve Layout Systematically

Establish a Spacing System

  • Use a consistent spacing scale — framework scales (Tailwind, etc.), rem-based tokens, or a custom scale all work. What matters is that values come from a defined set, not arbitrary numbers.
  • Name tokens semantically if using custom properties: --space-xs through --space-xl, not --spacing-8
  • Use gap for sibling spacing instead of margins — eliminates margin collapse hacks
  • Apply clamp() for fluid spacing that breathes on larger screens

Create Visual Rhythm

  • Tight grouping for related elements (8-12px between siblings)
  • Generous separation between distinct sections (48-96px)
  • Varied spacing within sections — not every row needs the same gap
  • Asymmetric compositions — break the predictable centered-content pattern when it makes sense

Choose the Right Layout Tool

  • Use Flexbox for 1D layouts: Rows of items, nav bars, button groups, card contents, most component internals. Flex is simpler and more appropriate for the majority of layout tasks.
  • Use Grid for 2D layouts: Page-level structure, dashboards, data-dense interfaces, anything where rows AND columns need coordinated control.
  • Don't default to Grid when Flexbox with flex-wrap would be simpler and more flexible.
  • Use repeat(auto-fit, minmax(280px, 1fr)) for responsive grids without breakpoints.
  • Use named grid areas (grid-template-areas) for complex page layouts — redefine at breakpoints.

Break Card Grid Monotony

  • Don't default to card grids for everything — spacing and alignment create visual grouping naturally
  • Use cards only when content is truly distinct and actionable — never nest cards inside cards
  • Vary card sizes, span columns, or mix cards with non-card content to break repetition

Strengthen Visual Hierarchy

  • Use the fewest dimensions needed for clear hierarchy. Space alone can be enough — generous whitespace around an element draws the eye. Some of the most sophisticated designs achieve rhythm with just space and weight. Add color or size contrast only when simpler means aren't sufficient.
  • Be aware of reading flow — in LTR languages, the eye naturally scans top-left to bottom-right, but primary action placement depends on context (e.g., bottom-right in dialogs, top in navigation).
  • Create clear content groupings through proximity and separation.

Manage Depth & Elevation

  • Create a semantic z-index scale (dropdown → sticky → modal-backdrop → modal → toast → tooltip)
  • Build a consistent shadow scale (sm → md → lg → xl) — shadows should be subtle
  • Use elevation to reinforce hierarchy, not as decoration

Optical Adjustments

  • If an icon looks visually off-center despite being geometrically centered, nudge it — but only if you're confident it actually looks wrong. Don't adjust speculatively.

NEVER:

  • Use arbitrary spacing values outside your scale
  • Make all spacing equal — variety creates hierarchy
  • Wrap everything in cards — not everything needs a container
  • Nest cards inside cards — use spacing and dividers for hierarchy within
  • Use identical card grids everywhere (icon + heading + text, repeated)
  • Center everything — left-aligned with asymmetry feels more designed
  • Default to the hero metric layout (big number, small label, stats, gradient) as a template. If showing real user data, a prominent metric can work — but it should display actual data, not decorative numbers.
  • Default to CSS Grid when Flexbox would be simpler — use the simplest tool for the job
  • Use arbitrary z-index values (999, 9999) — build a semantic scale

Verify Layout Improvements

  • Squint test: Can you identify primary, secondary, and groupings with blurred vision?
  • Rhythm: Does the page have a satisfying beat of tight and generous spacing?
  • Hierarchy: Is the most important content obvious within 2 seconds?
  • Breathing room: Does the layout feel comfortable, not cramped or wasteful?
  • Consistency: Is the spacing system applied uniformly?
  • Responsiveness: Does the layout adapt gracefully across screen sizes?

Remember: Space is the most underused design tool. A layout with the right rhythm and hierarchy can make even simple content feel polished and intentional.

Frequently asked questions

What does the Arrange AI skill do?

Improve layout, spacing, and visual rhythm. Fixes monotonous grids, inconsistent spacing, and weak visual hierarchy. Use when the user mentions layout feeling off, spacing issues, visual hierarchy, crowded UI, alignment problems, or wanting better composition.

Why use Arrange on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fengshao1227/ccg-workflow/tree/main/templates/skills/impeccable/arrange. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Arrange?

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 Arrange?

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

Is the Arrange AI skill free?

Yes. It is published on GitHub by fengshao1227 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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