Agent skill

Snr Decoration Removal

by hashgraph-online in hashgraph-online/awesome-codex-plugins

A skill your agent uses when the question is what to delete — running a structured audit of a UI to remove decorative elements that don't earn their pixels.

Apache-2.0Auto-check passed

Install Snr Decoration Removal

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill snr-decoration-removal -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins snr-decoration-removal --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-decoration-removal .claude/skills/snr-decoration-removal && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
snr-decoration-removal
GitHub stars
1.3k
Token cost
~1.7k tokens
SKILL.md length
948 words
Files
2 (incl. references)
Skills in repo
716
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when the question is what to delete — running a structured audit of a UI to remove decorative elements that don't earn their pixels.

  • Works in 3 steps: Is it separating two regions that would… → Is it the only thing distinguishing an… → Is it required by the component's role?…
  • The question is what to delete — running a structured audit of a UI to remove decorative elements that dont earn their pixels
  • SKILL.md covers The audit, A worked audit, Common pitfalls in this audit and Heuristics, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Snr Decoration Removal is an agent skill from hashgraph-online/awesome-codex-plugins. Use this skill when the question is what to delete — running a structured audit of a UI to remove decorative elements that don't earn their pixels. Trigger when reviewing an existing UI for noise reduction, when a stakeholder pushback says "this feels too busy" but you don't know what specifically to cut, or when polishing a design pre-ship. This is the operational counterpart to signal-to-noise-ratio; it gives you a checklist and a procedure rather than a principle.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/audit-checklist.md`).

The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • The question is what to delete — running a structured audit of a UI to remove decorative elements that dont earn their pixels
  • Reviewing an existing UI for noise reduction
  • A stakeholder pushback says this feels too busy but you dont know what specifically to cut
  • Polishing a design pre-ship

Example prompts

  • “this feels too busy”
  • “/snr-decoration-removal”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Is it separating two regions that would otherwise blur together? (e.g., a sticky header from the scrolling content beneath it)
  2. Is it the only thing distinguishing an interactive element from non-interactive content? (e.g., outlined buttons in a low-color UI)
  3. Is it required by the component's role? (e.g., the border of an input field)

What it can do on your machine

Read from SKILL.md and the folder at commit 3e1456a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Snr Decoration Removal loads about 1.7k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 125 tokens; SKILL.md has 948 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~125
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its Apache-2.0 licence (© hashgraph-online). 948 words, ~1,718 tokens.

Download SKILL.mdSave it as .claude/skills/snr-decoration-removal/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
snr-decoration-removal
description
Use this skill when the question is *what to delete* — running a structured audit of a UI to remove decorative elements that don't earn their pixels. Trigger when reviewing an existing UI for noise reduction, when a stakeholder pushback says "this feels too busy" but you don't know what specifically to cut, or when polishing a design pre-ship. This is the operational counterpart to `signal-to-noise-ratio`; it gives you a checklist and a procedure rather than a principle.

Decoration removal: an audit procedure

A structured procedure for going through an existing UI and identifying chrome that adds visual weight without serving the user. Run this as a final pass before shipping, or when revising a design that "feels busy."

The audit

Work through the UI element-by-element. For each candidate, ask: if I removed this, would the user lose information they need? If no, it's a candidate for deletion.

Borders

For every border on the page, ask:

  1. Is it separating two regions that would otherwise blur together? (e.g., a sticky header from the scrolling content beneath it)
  2. Is it the only thing distinguishing an interactive element from non-interactive content? (e.g., outlined buttons in a low-color UI)
  3. Is it required by the component's role? (e.g., the border of an input field)

If none of the above: delete the border. Most card borders, divider lines between sections, container borders around field groups are unnecessary — proximity already does the grouping work.

Backgrounds and tints

For every tinted region (cards, panels, banners, callouts), ask:

  1. Is it grouping content that proximity alone can't?
  2. Is it a state (hover, selected, focused, disabled)?
  3. Is it semantic (success/warning/destructive)?

If none of the above, the tint is decoration. Common offenders: brand-tinted hero panels with no informational role, "info" boxes that just hold normal content, colored sections that exist "for variety."

Shadows

For every box-shadow, ask:

  1. Does this element actually float above its context (popover, tooltip, modal, dragged element)?
  2. Is it a hover-state cue that matters?

If none of the above, drop the shadow. Most card shadows are unwarranted — cards sit on the page, not above it.

Gradients

For every gradient (backgrounds, button fills, illustrations), ask:

  1. Does it reinforce a directional cue (e.g., a hero gradient suggesting depth, a button "lift" via subtle gradient)?
  2. Is it part of an illustrative element with content meaning?

If neither, replace with a flat color. Decorative gradients age poorly and reduce SNR.

Icons

For every icon, ask:

  1. Is it replacing text in a space-constrained context (toolbar, mobile nav, tab bar)?
  2. Does it disambiguate (e.g., sparkle = AI-assisted, lock = encrypted, warning triangle = destructive)?
  3. Is it carrying status information (e.g., success check, error X)?

If none, delete the icon. The most common offender is decorative icons next to section headings — "Notifications" with a bell icon, "Account" with a user icon. The label already says what it is.

Repeated branding

For every brand mark (logo, brand color block, brand pattern), ask: how many times does the brand appear on this screen? Once is right (header). Twice is fine if one is a footer mark. More than that, you're decorating with the logo and the user is tuning it out.

Animations and transitions

For every animation, ask:

  1. Is it signaling a state change (open/close, success, drag)?
  2. Is it providing affordance (a button that elevates on hover)?
  3. Is it teaching causality (an item slides into a list to show it was added)?

If none of the above, the animation is eye-candy. Particularly suspect: looping animations (drawing the eye repeatedly), entrance animations on every element on page load (delays time-to-content).

"Polish" effects

The last pass of a design often adds:

  • Glassmorphism / backdrop-filter on elements that don't actually overlap content
  • Subtle inner shadows on inputs (they fight focus rings)
  • Micro-illustrations next to empty states that already have an icon and a sentence
  • Brand-color underlines on headings
  • Tinted "callout" boxes around quotes or tips

Each of these has a defensible single use; together, on the same surface, they collapse to noise.

Show full SKILL.md (353 more words)Show less

A worked audit

Imagine the following as the visual chrome on a single dashboard tile:

  • 1px border + 8% brand-color tint background + 12px shadow + a 32x32 brand-color icon in a tinted square next to the label + a colored top accent stripe + a hover scale effect + a help-tooltip "i" icon that's never been clicked.

Audit results:

  • Border: keeps the tile distinct from neighbors → keep, but lighten to hsl(0 0% 92%).
  • Background tint: decorative, not grouping (proximity already separates tiles) → delete.
  • Shadow: the tile doesn't float; it sits → delete.
  • Brand icon-in-square: doesn't add information; "Monthly revenue" is unambiguous → delete.
  • Top accent stripe: decoration → delete.
  • Hover scale: the tile isn't a primary interaction; users don't expect cards to scale → delete.
  • "i" tooltip: if it's never been clicked, ask whether the metric needs explanation at all. If it does, surface that explanation in the dashboard's empty/onboarding state, not on every tile → delete.

What remains: the border, the label, the number, the delta, the timestamp. The signal is intact; the chrome is gone. SNR up, perceived quality often up too — restraint reads as competence.

Common pitfalls in this audit

  • Overcorrection. Stripping too much produces sterility (see snr-densification). After this audit, look at the page again — has it become too sparse for the role?
  • Saved by hover. A border is fine because it appears on hover. Don't delete it.
  • The stakeholder defense. "But marketing wanted that callout box." If marketing's request didn't survive a signal audit, propose moving the request to a different surface (the marketing site, an onboarding tour) where decoration is appropriate.

Heuristics

  1. The 25% screenshot test. Reduce a screenshot to 25%. Things that vanish are probably noise (or weak signal); things that remain visible are likely signal-bearing.
  2. The "after" walk-through. After removing things, walk through the user's primary task. Did anything become harder? If yes, restore the deleted element.
  3. Versions side-by-side. Place the cluttered version next to the cleaned version. Most viewers prefer the cleaned one without being able to articulate why.
  • signal-to-noise-ratio (parent).
  • snr-densification — the opposite move; rebalances if you've over-stripped.
  • snr-emphasis-economy — what to do with emphasis once noise is gone.

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-decoration-removal of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • references/audit-checklist.md

Open the folder on GitHubat commit 3e1456a

Compare with similar skills

Snr Decoration Removal next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Snr Decoration Removal compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Snr Decoration Removal this skillhashgraph-online/awesome-codex-plugins1.3k—~1.7kAutomated safety check: PassApache-2.0
Warp Feature Flag Removalwarpdotdev/warp65k1 repos~1.1kAutomated safety check: PassAGPL-3.0
Decorative Elementsthedaviddias/Front-End-Checklist74k—~672Automated safety check: PassMIT
Dead Code Removercode-yeongyu/oh-my-openagent70k—~1.8kAutomated safety check: PassCustom licence
Deleting ThoughtsNateBJones-Projects/OB14.7k—~995Automated safety check: PassCustom licence
Remove Bg AutomationComposioHQ/awesome-claude-skills77k3 repos~738Automated safety check: PassNone

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Questions about Snr Decoration Removal

What does Snr Decoration Removal do?

A skill your agent uses when the question is what to delete — running a structured audit of a UI to remove decorative elements that don't earn their pixels. Snr Decoration Removal is an agent skill from hashgraph-online/awesome-codex-plugins. Use this skill when the question is what to delete — running a structured audit of a UI to remove decorative elements that don't earn their pixels.

When should I use Snr Decoration Removal?

Snr Decoration Removal fits situations like: the question is what to delete — running a structured audit of a UI to remove decorative elements that dont earn their pixels; reviewing an existing UI for noise reduction; A stakeholder pushback says this feels too busy but you dont know what specifically to cut; polishing a design pre-ship.

How do I install Snr Decoration Removal in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill snr-decoration-removal -a claude-code`. Or copy the skill folder (plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-decoration-removal in hashgraph-online/awesome-codex-plugins) into .claude/skills/snr-decoration-removal in your project. Claude Code loads it when a task matches its description.

How do I install Snr Decoration Removal in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill snr-decoration-removal -a codex`. Or copy the skill folder (plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-decoration-removal in hashgraph-online/awesome-codex-plugins) into .agents/skills/snr-decoration-removal in your project. Codex loads it when a task matches its description.

Can I use Snr Decoration Removal in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill snr-decoration-removal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/snr-decoration-removal, .gemini/skills/snr-decoration-removal, .github/skills/snr-decoration-removal and .opencode/skills/snr-decoration-removal in your project.

What does Snr Decoration Removal need to run?

SKILL.md names no scripts, command-line tools or credentials: Snr Decoration Removal is instructions for the agent only.

Does Snr Decoration Removal access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Snr Decoration Removal safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Snr Decoration Removal use?

Snr Decoration Removal is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Snr Decoration Removal use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.

What are the alternatives to Snr Decoration Removal?

Skills that share tags, products or a category with Snr Decoration Removal: Warp Feature Flag Removal (warpdotdev/warp, 65k stars), Decorative Elements (thedaviddias/Front-End-Checklist, 74k stars), Dead Code Remover (code-yeongyu/oh-my-openagent, 70k stars) and Deleting Thoughts (NateBJones-Projects/OB1, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Snr Decoration Removal?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.