A skill your agent uses when a design has too much whitespace — when the SNR pendulum has swung from cluttered all the way to sparse, sterile, or "empty-feeling," and you need to add signal density…
Apache-2.0Auto-check passed
Install Snr Densification
skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill snr-densification -a claude-code
Project install by default; add -g for ~/.claude/skills/.
Install the "snr-densification" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-densification into .claude/skills/snr-densification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "snr-densification", then confirm the skill loads.
Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill snr-densification -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "snr-densification" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-densification into .agents/skills/snr-densification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "snr-densification", then confirm the skill loads.
Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill snr-densification -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "snr-densification" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-densification into .cursor/skills/snr-densification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "snr-densification", then confirm the skill loads.
Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill snr-densification -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "snr-densification" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-densification into .gemini/skills/snr-densification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "snr-densification", then confirm the skill loads.
Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill snr-densification -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "snr-densification" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-densification into .github/skills/snr-densification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "snr-densification", then confirm the skill loads.
GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill snr-densification -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "snr-densification" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-densification into .opencode/skills/snr-densification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "snr-densification", then confirm the skill loads.
OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
Skill name
snr-densification
GitHub stars
1.3k
Token cost
~1.9k tokens
SKILL.md length
611 words
Files
2 (incl. references)
Skills in repo
714
Repo updated
First seen
Licence
Apache-2.0
At a glance
A skill your agent uses when a design has too much whitespace — when the SNR pendulum has swung from cluttered all the way to sparse, sterile, or "empty-feeling," and you need to add signal density…
Works in 5 steps: Replace navigation steps with adjacent… → Use compact data primitives → Inline action affordances → …
A design has too much whitespace — when the SNR pendulum has swung from cluttered all the way to sparse
SKILL.md covers When sterility is the problem, What signal-density looks like, How densification differs from… and Worked example: a sparse…, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Snr Densification is an agent skill from hashgraph-online/awesome-codex-plugins. Use this skill when a design has too much whitespace — when the SNR pendulum has swung from cluttered all the way to sparse, sterile, or "empty-feeling," and you need to add signal density without adding noise. Trigger when reviewing a UI that "feels thin," "feels under-built," or where users complain "I'm scrolling forever to get to anything." Also trigger when designing power-user surfaces (admin panels, IDEs, data tools) that need higher density than consumer defaults. Sub-aspect of signal-to-noise-ratio; read…
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/density-research.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
A design has too much whitespace — when the SNR pendulum has swung from cluttered all the way to sparse
You need to add signal density without adding noise
Reviewing a UI that feels thin
Feels under-built
Example prompts
“empty-feeling,”
“feels thin,”
“feels under-built,”
“/snr-densification”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9e7b281. 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 (its code samples are html).
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 Densification loads about 1.9k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 144 tokens; SKILL.md has 611 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~144
When it runs· the whole SKILL.md, loaded when a task matches
~1.9k
With references· SKILL.md plus every file in references/, read only if the agent opens them
~2.8k
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.
Download SKILL.mdSave it as .claude/skills/snr-densification/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
snr-densification
description
Use this skill when a design has *too much* whitespace — when the SNR pendulum has swung from cluttered all the way to sparse, sterile, or "empty-feeling," and you need to add signal density without adding noise. Trigger when reviewing a UI that "feels thin," "feels under-built," or where users complain "I'm scrolling forever to get to anything." Also trigger when designing power-user surfaces (admin panels, IDEs, data tools) that need higher density than consumer defaults. Sub-aspect of `signal-to-noise-ratio`; read that first if you haven't already.
Densification: adding signal without adding noise
The opposite failure mode of "noisy UI" is "sterile UI" — a design so subtractively-edited that it loses the affordances and richness users actually need. SNR is a ratio; you can improve it either by removing noise or by adding signal. This skill covers the latter.
When sterility is the problem
Symptoms:
Power users tell you they "miss" features that are present but tucked away.
The page contains 3 things on a 1440px screen and feels under-built.
Common workflows require navigating away and back; the current surface doesn't show enough.
The empty state doesn't feel empty — the populated state feels empty.
A/B testing shows users hesitating because there's not enough information to decide.
What signal-density looks like
Densification means more meaningful information per visible region, with the meaning still clearly readable. Done well, it looks like a Bloomberg terminal in restraint mode: many numbers, but every number labeled, ranked, and scannable.
Approaches:
1. Replace navigation steps with adjacent context
A common low-density mistake: a list view shows only names; the user clicks through to see details. Densify by showing critical detail inline.
html
<!-- Sparse: name only, click for detail -->
<li><a href="/projects/acme">Acme Q4 Refresh</a></li>
<!-- Dense: name + status + owner + due date inline -->
<li>
<a href="/projects/acme">Acme Q4 Refresh</a>
<span class="meta">In review · Maria · Due May 12</span>
</li>
The signal-per-line jumped 4x with no added noise.
2. Use compact data primitives
Replace large cards with rows. Replace giant icons with small ones. Replace verbose labels with shorter conventional ones.
html
<!-- Sparse: each KPI in a 200x200 card with icon and gradient -->
<div class="card-grid">
<div class="card">…1 number…</div>
<div class="card">…1 number…</div>
<div class="card">…1 number…</div>
</div>
<!-- Dense: KPIs as a single row of stat blocks -->
<dl class="stat-row">
<div><dt>Revenue</dt><dd>$48.2k <span class="delta-up">+12%</span></dd></div>
<div><dt>Users</dt><dd>12,481 <span class="delta-up">+3%</span></dd></div>
<div><dt>Churn</dt><dd>2.1% <span class="delta-down">-0.4%</span></dd></div>
<div><dt>NPS</dt><dd>42</dd></div>
</dl>
3. Inline action affordances
Don't make users open a row's menu to see what they can do. Show the actions inline (icon-buttons in the row).
The default shadcn/Material density is calibrated for general use. Power surfaces benefit from text-sm body, text-xs metadata, py-1.5 row padding instead of py-3. Just tune one notch denser, not five.
5. Allow user-controlled density
Offer a "Compact" mode in settings, or per-table density toggles, so users can pick their preferred ratio.
How densification differs from noise
The line between dense and noisy is whether the additional content is task-relevant.
Dense: more numbers, more labels, more rows, more context — all serving the user's reason for being here.
Noisy: more borders, more shadows, more illustrations, more decoration — none of which advance the task.
A correctly densified UI looks like more information; a noisy UI looks like more decoration around the same information.
Show full SKILL.md (244 more words)Show less
Worked example: a sparse dashboard, densified
Before (sparse):
html
<main style="padding: 4rem; max-width: 800px; margin: 0 auto;">
<h1>Welcome back</h1>
<p>You have 3 things to review.</p>
<button>Go to inbox</button>
</main>
A "welcome dashboard" of this kind feels like a placeholder. The user came to do something; they shouldn't have to click through.
Same page region, ~10× the actionable signal, no added noise.
Anti-patterns
Densification by adding decoration. "It feels empty, let me add a hero illustration." That's the opposite move; you've added noise, not signal.
Densification by adding all features. Every product feature gets a tile on the dashboard regardless of relevance. That's noise too — only the user's actually-needed features should be present.
Density without alignment. Cramming many elements without a strict grid produces clutter, not density. Strong alignment is what allows high density to remain readable.
Heuristics
Squint test in reverse. Squint at the page. Is there any dominant content? If you see only mass background and a few dots, the page is empty.
The "What can I do here?" test. Land on the page cold. Within 2 seconds, can you identify 3 actions you might take? If no, density is too low.
The information audit. Count the distinct pieces of useful information visible without scrolling. Compare to similar surfaces in well-designed competitors. If you're at half their count and the page feels light, densify.
Related sub-skills
signal-to-noise-ratio (parent).
snr-decoration-removal — the subtraction side of SNR; complementary to this skill.
hierarchy-spatial — densification needs strong spatial hierarchy or it becomes visual mush.
propositional-density (cognition) — closely related: meaning per mark, signal per pixel.
SKILL.md and 1 other file (references) in plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-densification of hashgraph-online/awesome-codex-plugins.
Snr Densification 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 Densification compared with similar skills
Skill
Stars
Used in
Tokens
Auto-check
Licence
Repo updated
Snr Densification this skillhashgraph-online/awesome-codex-plugins
Maps whether a biomedical research topic, subtopic, or study angle is truly saturated, superficially crowded, strategically occupied, or still open for differentiated entry.
Use this plugin when the user wants a "Build Minimal Frame" HyperFrames motion video — Luxury-minimal whitespace hero — single word reveals letter by letter, warm-gold hairline, breathing indicators.
A skill your agent uses when asked am I covered by the Employment Act, how much annual leave or sick leave am I entitled to, can my employer cut my pay, how much notice do I need to give, is…
A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…
Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…
Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
1.3k GitHub stars~618 tokensUpdated today
Auto-check passed
Questions about Snr Densification
What does Snr Densification do?
A skill your agent uses when a design has too much whitespace — when the SNR pendulum has swung from cluttered all the way to sparse, sterile, or "empty-feeling," and you need to add signal density…. Snr Densification is an agent skill from hashgraph-online/awesome-codex-plugins. Use this skill when a design has too much whitespace — when the SNR pendulum has swung from cluttered all the way to sparse, sterile, or "empty-feeling," and you need to add signal density without adding noise.
When should I use Snr Densification?
Snr Densification fits situations like: A design has too much whitespace — when the SNR pendulum has swung from cluttered all the way to sparse; you need to add signal density without adding noise; reviewing a UI that feels thin; feels under-built.
How do I install Snr Densification in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill snr-densification -a claude-code`. Or copy the skill folder (plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-densification in hashgraph-online/awesome-codex-plugins) into .claude/skills/snr-densification in your project. Claude Code loads it when a task matches its description.
How do I install Snr Densification in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill snr-densification -a codex`. Or copy the skill folder (plugins/HDeibler/universal-design-principles/plugins/perception-and-hierarchy-principles/skills/snr-densification in hashgraph-online/awesome-codex-plugins) into .agents/skills/snr-densification in your project. Codex loads it when a task matches its description.
Can I use Snr Densification 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-densification -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-densification, .gemini/skills/snr-densification, .github/skills/snr-densification and .opencode/skills/snr-densification in your project.
What does Snr Densification need to run?
SKILL.md names no scripts, command-line tools or credentials: Snr Densification is instructions for the agent only.
Does Snr Densification 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 Densification 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 Densification use?
Snr Densification 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 Densification use?
About 1.9k tokens (SKILL.md is roughly 7.4k 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 990 tokens, read only when the agent opens those files.
What are the alternatives to Snr Densification?
Skills that share tags, products or a category with Snr Densification: Medical Topic Saturation And Whitespace Checker (aipoch/medical-research-skills, 2k stars), OmniRoute Budget Controls (diegosouzapw/OmniRoute, 74k stars), Video Template Frame Build Minimal (nexu-io/open-design, 100k stars) and CodeGraph Agent Eval (colbymchenry/codegraph, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Snr Densification?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.