arrange

arrange is a skill for Claude Code from fengshao1227/ccg-workflow. It costs 52 tokens per session (1,567 once invoked), scanned A, original, MIT.

A design review guide for improving how elements are arranged on a screen, including spacing, alignment, grouping, and visual importance.

In plain words
What is it for?
Use it to assess page layouts, card grids, whitespace, and visual hierarchy, then guide improvements to composition and spacing.
Why use it?
It helps when an interface feels crowded, uneven, repetitive, or difficult to scan. It identifies structural layout problems before changes are made.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the ccg plugin — 58 skills, 12 commands, 7 agents shipped together

Good fit Use it to assess page layouts, card grids, whitespace, and visual hierarchy, then guide improvements to composition and spacing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fengshao1227/ccg-workflow/arrange
About the project

CCG is a command-line workflow engine that coordinates Claude, Codex, Gemini, and other models as specialized collaborators on coding tasks. It is used to analyze requests, choose a strategy, delegate work to model-specific roles, and combine their results. The catalogue entries provide the skills, commands, agents, and plugin that implement this workflow.

fengshao1227/ccg-workflow · 5,881 stars · on GitHub · ccg.fengshao1227.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add fengshao1227/ccg-workflow --skill arrange
Clone the repo
git clone --depth 1 https://github.com/fengshao1227/ccg-workflow

Made for: Claude Code.

Or install ccg, the plugin that ships this one along with the rest of its 58 skills, 12 commands, 7 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for arrange

README.md
[![agentmods](https://agentmods.dev/badge/skills/fengshao1227/ccg-workflow/arrange/github.svg)](https://agentmods.dev/skills/fengshao1227/ccg-workflow/arrange)
Your own site
<a href="https://agentmods.dev/skills/fengshao1227/ccg-workflow/arrange"><img src="https://agentmods.dev/badge/skills/fengshao1227/ccg-workflow/arrange/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for arrange

Your own site · 80×15
<a href="https://agentmods.dev/skills/fengshao1227/ccg-workflow/arrange"><img src="https://agentmods.dev/badge/skills/fengshao1227/ccg-workflow/arrange.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,567 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.01567
Opus 5 $0.00026 $0.00783
Sonnet 5 $0.00010 $0.00313
Haiku 4.5 $0.00005 $0.00157

Measured 10d ago against content hash 4313ca0e2ad9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

arrange scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

  • arrange — 97% identical, 2 lines differ
  • arrange — 97% identical, 2 lines differ
  • arrange — 95% identical, 13 lines differ
  • arrange — 95% identical, 9 lines differ
  • arrange — 95% identical, 5 lines differ
  • arrange — 95% identical, 35 lines differ
  • arrange — 95% identical, 5 lines differ
  • arrange — 94% identical, 12 lines differ
templates/skills/impeccable/arrange/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 125 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 125 lines · 52 tokens per session scan A 4313ca0e2ad9

Subscribe to this mod's changes

arrange is a skill published in the GitHub repository fengshao1227/ccg-workflow (5,881 stars, last pushed 6d ago), licensed MIT. It adds 52 tokens to every session and 1,567 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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