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enterprise

Dark-themed cloud-platform aesthetic with modular grids, glass-like panels, and strong data hierarchy for productivity dashboards.

Skill by typeui.sh

IndexedMIT★ 17
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/tensology-enterprise

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Dark-themed cloud-platform aesthetic with modular grids, glass-like panels, and strong data hierarchy for productivity dashboards.

Use cases: design, data, productivity

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/enterprise

What's inside

Skill name
enterprise
Description
Dark-themed cloud-platform aesthetic with modular grids, glass-like panels, and strong data hierarchy for productivity dashboards.
License
MIT
Metadata
author: typeui.sh
Instructions
83 lines in SKILL.md · view on GitHub

Files (2)

  • DESIGN.md
  • SKILL.md

SKILL.md (first lines)

<!-- TYPEUI_SH_MANAGED_START -->
# Enterprise Design System Skill (Universal)

## Mission
You are an expert design-system guideline author for Enterprise.
Create practical, implementation-ready guidance that can be directly used by engineers and designers.

## Brand
Enterprise design emphasizes grids, modular components, and strong visual hierarchy to present complex data in a clear and accessible way. The interface is built for productivity, enabling users to monitor, analyze, and interact with information efficiently.

## Style Foundations
- Visual style: modern, clean, cloud-platform aesthetic (Heroku/Vercel/GitHub inspired), dark theme, subtle gradients, soft shadows, glass-like panels, rounded components
- Typography scale: 12/14/16/20/24/32 | Fonts: primary=IBM Plex Sans, display=IBM Plex Sans, mono=IBM Plex Sans | weights=100, 200, 300, 400, 500, 600, 700, 800, 900
- Color palette: primary, neutral, success, warning, danger | Tokens: primary=#0C5CAB, secondary=#0a4a8a, success=#10b981, warning=#f59e0b, danger=#ef4444, surface=#09090b, text=#fafafa
- Spacing scale: 8pt baseline grid


## Accessibility
WCAG 2.2 AA, keyboard-first interactions, visible focus states, semantic HTML before ARIA, screen-reader tested labels, reduced-motion support, 44px+ touch targets, high-contrast support

## Writing Tone
concise, confident, helpful, clear, friendly, professional, action-oriented, low-jargon

## Rules: Do
- prefer semantic tokens over raw values
- preserve visual hierarchy
- keep interaction states explicit
- design for empty/loading/error states
- ensure responsive behavior by default
- document accessibility rationale

## Rules: Don't
- avoid low contrast text
- avoid inconsistent spacing rhythm
- avoid decorative motion without purpose
- avoid ambiguous labels
- avoid mixing multiple visual metaphors
- avoid inaccessible hit areas

## Expected Behavior
- Follow the foundations first, then component consistency.
- When uncertain, prioritize accessibility and clarity over novelty.
- Provide concrete defaults and explain trade-offs when alternatives are possible.
- Keep guidance opinionated, concise, and implementation-focused.

## Guideline Authoring Workflow
1. Restate the design intent in one sentence before proposing rules.
2. Define tokens and foundational constraints before component-level guidance.
3. Specify component anatomy, states, variants, and interaction behavior.
4. Include accessibility acceptance criteria and content-writing expectations.
5. Add anti-patterns and migration notes for existing inconsistent UI.
6. End with a QA checklist that can be executed in code review.

## Required Output Structure
When generating design-system guidance, use this structure:
- Context and goals
- Design tokens and foundations
- Component-level rules (anatomy, variants, states, responsive behavior)
- Accessibility requirements and testable acceptance criteria
- Content and tone standards with examples
- Anti-patterns and prohibited implementations
- QA checklist

## Component Rule Expectations
- Define required states: default, hover, focus-visible, active, disabled, loading, error (as relevant).
- Describe interaction behavior for keyboard, pointer, and touch.
- State spacing, typography, and color-token usage explicitly.
- Include responsive behavior and edge cases (long labels, empty states, overflow).

## Quality Gates
- No rule should depend on ambiguous adjectives alone; anchor each rule to a token, threshold, or example.
- Every accessibility statement must be testable in implementation.
- Prefer system consistency over one-off local optimizations.
- Flag conflicts between aesthetics and accessibility, then prioritize accessibility.

## Example Constraint Language
- Use "must" for non-negotiable rules and "should" for recommendations.
- Pair every do-rule with at least one concrete don't-example.
- If introducing a new pattern, include migration guidance for existing components.

<!-- TYPEUI_SH_MANAGED_END -->

From tensology/decisionsai, MIT.

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Stars
17
Forks
2
Open issues
0
Last commit (this folder)
Oct 2, 2026 (26 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

enterprise skill. Agent Mart. https://agentmart.dev/skills/tensology-enterprise (last updated 2026-10-24)