Agent skill

Data Dense Design

by sickn33 in sickn33/agentic-awesome-skills

Web and App implementation guide for Data-Dense Design. An agent skill from sickn33/agentic-awesome-skills.

MITAuto-check passedMobile

Install Data Dense Design

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill data-dense-design -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills data-dense-design --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/design-it/data-dense-design .claude/skills/data-dense-design && 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
data-dense-design
GitHub stars
47k
Used in
1 other repo
Token cost
~2.8k tokens
SKILL.md length
350 words
Files
1
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

Web and App implementation guide for Data-Dense Design. An agent skill from sickn33/agentic-awesome-skills.

  • Works in 3 steps: Compact Layouts: Extremely tight margins… → Monospace & Tabular Data: Numbers must… → High Utility: Every pixel serves a…
  • User wants professional tools
  • SKILL.md covers When to Use, Core Principles, Visual DNA and Web Implementation, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Data Dense Design is an agent skill from sickn33/agentic-awesome-skills. Web and App implementation guide for Data-Dense Design. Trigger when user wants professional tools, maximum information density, and expert interfaces (like Bloomberg terminals or IDEs).

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Mobile, covering Cross-platform mobile apps. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • User wants professional tools
  • Maximum information density
  • Expert interfaces (like Bloomberg terminals

Example prompts

  • “/data-dense-design”

Workflow steps

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

  1. Compact Layouts: Extremely tight margins and padding (often 2px to 4px).
  2. Monospace & Tabular Data: Numbers must align vertically perfectly.
  3. High Utility: Every pixel serves a functional purpose. Minimal purely decorative elements.

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. 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 css, swift, dart, javascript and kotlin).

    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

Data Dense Design loads about 2.8k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 350 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~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.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 350 words, ~2,812 tokens.

Download SKILL.mdSave it as .claude/skills/data-dense-design/SKILL.md (or your agent's skills folder).
name
data-dense-design
description
Web and App implementation guide for Data-Dense Design. Trigger when user wants professional tools, maximum information density, and expert interfaces (like Bloomberg terminals or IDEs).
date_added
2026-06-17
risk
safe
source
self
source_type
self

Data-Dense Design

"Density is a feature. For expert users, reducing clicks is more important than whitespace."

When to Use

Use this sub-style when the user's request matches the aesthetic described above. This is a child reference of the design-it skill and is not meant to be triggered directly.

Core Principles

  1. Compact Layouts: Extremely tight margins and padding (often 2px to 4px).
  2. Monospace & Tabular Data: Numbers must align vertically perfectly.
  3. High Utility: Every pixel serves a functional purpose. Minimal purely decorative elements.

Visual DNA

  • Colors: Industrial Chic (high contrast) or Minimalist Slate. Avoid bright backgrounds. Dark themes are heavily preferred to reduce eye strain over 8-hour sessions.
  • Typography: Small base sizes (11px - 13px). Strict use of monospace fonts (Fira Code, JetBrains Mono) for data.
  • Borders: Thin 1px borders (#333 or #e0e0e0) are used extensively to separate tiny cells of data.

Web Implementation

  • Tables, CSS Grid, and Flexbox with zero gap.
  • CSS Example:
css
body {
  background-color: #1e1e1e; /* IDE Dark */
  color: #cccccc;
  font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
  font-size: 12px; /* Very small */
  margin: 0;
}

.dense-toolbar {
  display: flex;
  background-color: #2d2d2d;
  border-bottom: 1px solid #3c3c3c;
  padding: 2px 4px;
}

.dense-btn {
  background: transparent;
  color: #ccc;
  border: 1px solid transparent;
  padding: 2px 8px;
  border-radius: 2px;
  cursor: pointer;
}
.dense-btn:hover {
  background-color: #3c3c3c;
  border-color: #555;
}

/* Dense Data Table */
.data-table {
  width: 100%;
  border-collapse: collapse;
  font-family: 'JetBrains Mono', monospace;
}

.data-table th, .data-table td {
  padding: 4px 8px;
  border: 1px solid #3c3c3c;
  text-align: right; /* Numbers align right */
}

.data-table tr:nth-child(even) { background-color: #252526; }
.data-table tr:hover { background-color: #094771; color: #fff; } /* Selection highlight */

App Implementation

SwiftUI
swift
struct DataDenseView: View {
    var body: some View {
        ScrollView([.horizontal, .vertical]) {
            Grid(horizontalSpacing: 0, verticalSpacing: 0) {
                // Header Row
                GridRow {
                    HeaderCell("SYM")
                    HeaderCell("BID")
                    HeaderCell("ASK")
                    HeaderCell("CHG")
                }
                
                // Data Rows
                DataRow(sym: "AAPL", bid: "173.40", ask: "173.45", chg: "+0.12", isPos: true)
                DataRow(sym: "MSFT", bid: "320.10", ask: "320.15", chg: "-0.45", isPos: false)
                DataRow(sym: "GOOG", bid: "135.20", ask: "135.30", chg: "+0.02", isPos: true)
            }
            .border(Color.gray.opacity(0.3), width: 1)
        }
        .background(Color(white: 0.12)) // Dark IDE background
    }
}

struct HeaderCell: View {
    let text: String
    init(_ text: String) { self.text = text }
    var body: some View {
        Text(text)
            .font(.system(size: 11, weight: .bold, design: .monospaced))
            .foregroundColor(.gray)
            .padding(4)
            .frame(minWidth: 60, alignment: .leading)
            .border(Color.gray.opacity(0.3), width: 0.5)
            .background(Color(white: 0.18))
    }
}

struct DataRow: View {
    let sym, bid, ask, chg: String
    let isPos: Bool
    var body: some View {
        GridRow {
            Cell(sym, color: .white)
            Cell(bid, color: .white, align: .trailing)
            Cell(ask, color: .white, align: .trailing)
            Cell(chg, color: isPos ? .green : .red, align: .trailing)
        }
    }
}

struct Cell: View {
    let text: String
    let color: Color
    let align: Alignment
    init(_ text: String, color: Color, align: Alignment = .leading) {
        self.text = text; self.color = color; self.align = align
    }
    var body: some View {
        Text(text)
            .font(.system(size: 12, design: .monospaced))
            .foregroundColor(color)
            .padding(4)
            .frame(minWidth: 60, alignment: align)
            .border(Color.gray.opacity(0.3), width: 0.5)
    }
}
  • Use Grid with 0 spacing.
  • Font must be .system(..., design: .monospaced).
  • Use a .border() with 0.5 width on every single cell to recreate the dense spreadsheet look.
Flutter
dart
class DataDenseScreen extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return Scaffold(
      backgroundColor: const Color(0xFF1E1E1E),
      body: SingleChildScrollView(
        scrollDirection: Axis.vertical,
        child: SingleChildScrollView(
          scrollDirection: Axis.horizontal,
          child: Theme(
            // Override theme specifically to make the table hyper-dense
            data: Theme.of(context).copyWith(
              dividerColor: Colors.grey[800],
            ),
            child: DataTable(
              headingRowHeight: 28, // Extremely dense
              dataRowMinHeight: 24,
              dataRowMaxHeight: 24, // Extremely dense
              columnSpacing: 16,
              border: TableBorder.all(color: Colors.grey[800]!, width: 1),
              columns: const [
                DataColumn(label: Text('SYM', style: TextStyle(color: Colors.grey, fontSize: 11, fontFamily: 'RobotoMono'))),
                DataColumn(label: Text('BID', style: TextStyle(color: Colors.grey, fontSize: 11, fontFamily: 'RobotoMono')), numeric: true),
                DataColumn(label: Text('ASK', style: TextStyle(color: Colors.grey, fontSize: 11, fontFamily: 'RobotoMono')), numeric: true),
              ],
              rows: [
                _buildRow('AAPL', '173.40', '173.45'),
                _buildRow('MSFT', '320.10', '320.15'),
                _buildRow('GOOG', '135.20', '135.30'),
              ],
            ),
          ),
        ),
      ),
    );
  }

  DataRow _buildRow(String sym, String bid, String ask) {
    const style = TextStyle(color: Colors.white, fontSize: 12, fontFamily: 'RobotoMono');
    return DataRow(
      cells: [
        DataCell(Text(sym, style: style)),
        DataCell(Text(bid, style: style)),
        DataCell(Text(ask, style: style)),
      ],
    );
  }
}
  • Flutter's DataTable is perfect, but you must manually crush the headingRowHeight and dataRowHeight down from their Material defaults (which are huge).
  • Wrap in dual SingleChildScrollView to allow panning around large data sets.
Show full SKILL.md (133 more words)Show less
React Native
jsx
const DataDenseScreen = () => {
  return (
    <ScrollView style={{ backgroundColor: '#1E1E1E', flex: 1 }}>
      <ScrollView horizontal>
        <View style={{ borderWidth: 1, borderColor: '#333' }}>
          {/* Header */}
          <View style={{ flexDirection: 'row', backgroundColor: '#2D2D2D' }}>
            <HeaderCell text="SYM" width={60} />
            <HeaderCell text="BID" width={80} align="right" />
            <HeaderCell text="ASK" width={80} align="right" />
            <HeaderCell text="CHG" width={60} align="right" />
          </View>
          
          {/* Rows */}
          <DataRow sym="AAPL" bid="173.40" ask="173.45" chg="+0.12" isPos={true} />
          <DataRow sym="MSFT" bid="320.10" ask="320.15" chg="-0.45" isPos={false} />
        </View>
      </ScrollView>
    </ScrollView>
  );
};

const HeaderCell = ({ text, width, align = 'left' }) => (
  <View style={{ width, padding: 4, borderWidth: 0.5, borderColor: '#333' }}>
    <Text style={{ color: '#999', fontSize: 11, fontFamily: 'monospace', textAlign: align, fontWeight: 'bold' }}>
      {text}
    </Text>
  </View>
);

const DataRow = ({ sym, bid, ask, chg, isPos }) => (
  <View style={{ flexDirection: 'row' }}>
    <Cell text={sym} width={60} />
    <Cell text={bid} width={80} align="right" />
    <Cell text={ask} width={80} align="right" />
    <Cell text={chg} width={60} align="right" color={isPos ? '#4CAF50' : '#F44336'} />
  </View>
);

const Cell = ({ text, width, align = 'left', color = '#CCC' }) => (
  <View style={{ width, padding: 4, borderWidth: 0.5, borderColor: '#333' }}>
    <Text style={{ color, fontSize: 12, fontFamily: 'monospace', textAlign: align }}>
      {text}
    </Text>
  </View>
);
  • React Native doesn't have a native Table component, so you must construct a grid using flexDirection: 'row' and strict width properties on cells.
  • Double scroll views (one vertical, one horizontal inside it) are standard for mobile data tables.
Jetpack Compose
kotlin
@Composable
fun DataDenseScreen() {
    val scrollStateHorizontal = rememberScrollState()
    val scrollStateVertical = rememberScrollState()

    Box(
        modifier = Modifier
            .fillMaxSize()
            .background(Color(0xFF1E1E1E))
            .verticalScroll(scrollStateVertical)
            .horizontalScroll(scrollStateHorizontal)
            .padding(8.dp)
    ) {
        Column(modifier = Modifier.border(1.dp, Color(0xFF333333))) {
            // Header
            Row(modifier = Modifier.background(Color(0xFF2D2D2D))) {
                Cell("SYM", 60.dp, Color.Gray, true)
                Cell("BID", 80.dp, Color.Gray, true, TextAlign.End)
                Cell("ASK", 80.dp, Color.Gray, true, TextAlign.End)
            }
            
            // Rows
            DataRow("AAPL", "173.40", "173.45")
            DataRow("MSFT", "320.10", "320.15")
        }
    }
}

@Composable
fun DataRow(sym: String, bid: String, ask: String) {
    Row {
        Cell(sym, 60.dp, Color.White, false)
        Cell(bid, 80.dp, Color.White, false, TextAlign.End)
        Cell(ask, 80.dp, Color.White, false, TextAlign.End)
    }
}

@Composable
fun Cell(text: String, width: Dp, color: Color, isHeader: Boolean, align: TextAlign = TextAlign.Start) {
    Text(
        text = text,
        color = color,
        fontSize = if (isHeader) 11.sp else 12.sp,
        fontWeight = if (isHeader) FontWeight.Bold else FontWeight.Normal,
        fontFamily = FontFamily.Monospace,
        textAlign = align,
        modifier = Modifier
            .width(width)
            .border(0.5.dp, Color(0xFF333333))
            .padding(4.dp)
    )
}
  • Chain .verticalScroll() and .horizontalScroll() on the root Box.
  • Compose allows .border() directly on Text modifiers, making spreadsheet grids very clean to implement without wrapping everything in Boxes.

Do's and Don'ts

  • DO: Use color coding (red/green) for data deltas, but keep the saturation muted to prevent eye fatigue.
  • DON'T: Use large padding or giant H1 headers. Expert users already know what screen they are on.

Limitations

  • This is a styling reference and does not replace environment-specific validation, accessibility testing, or expert review.
  • Ensure appropriate contrast ratios and responsive behaviors are verified separately.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/design-it/data-dense-design of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit ec02547

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Data Dense Design this skillsickn33/agentic-awesome-skills47k1 repos~2.8kAutomated safety check: PassMIT
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Creating Reanimated Animationsgluestack/gluestack-ui5.3k—~2.4kAutomated safety check: PassNone
Uni-app Components and APIsfeige996/unibest2.3k—~1.6kAutomated safety check: PassMIT
Add Flutter Docusaurus Localematthiasn/lotti1.2k—~1.2kAutomated safety check: PassGPL-3.0

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Categories

Questions about Data Dense Design

What does Data Dense Design do?

Web and App implementation guide for Data-Dense Design. An agent skill from sickn33/agentic-awesome-skills. Data Dense Design is an agent skill from sickn33/agentic-awesome-skills. Web and App implementation guide for Data-Dense Design.

When should I use Data Dense Design?

Data Dense Design fits situations like: user wants professional tools; maximum information density; expert interfaces (like Bloomberg terminals.

How do I install Data Dense Design in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill data-dense-design -a claude-code`. Or copy the skill folder (skills/design-it/data-dense-design in sickn33/agentic-awesome-skills) into .claude/skills/data-dense-design in your project. Claude Code loads it when a task matches its description.

How do I install Data Dense Design in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill data-dense-design -a codex`. Or copy the skill folder (skills/design-it/data-dense-design in sickn33/agentic-awesome-skills) into .agents/skills/data-dense-design in your project. Codex loads it when a task matches its description.

Can I use Data Dense Design 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 sickn33/agentic-awesome-skills --skill data-dense-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-dense-design, .gemini/skills/data-dense-design, .github/skills/data-dense-design and .opencode/skills/data-dense-design in your project.

What does Data Dense Design need to run?

SKILL.md names no scripts, command-line tools or credentials: Data Dense Design is instructions for the agent only.

Does Data Dense Design 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 Data Dense Design 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 Data Dense Design use?

Data Dense Design is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Data Dense Design use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Data Dense Design?

Skills that share tags, products or a category with Data Dense Design: React Native Best Practices (vercel-labs/openreview, 1.7k stars), Compose Multiplatform Patterns (monta-app/ocpp-emulator, 180 stars), Creating Reanimated Animations (gluestack/gluestack-ui, 5.3k stars) and Uni-app Components and APIs (feige996/unibest, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Dense Design?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.