clean
Simplicity-focused design with ample whitespace, legible typography, and a limited color palette to reduce visual clutter.
Skill by typeui.sh
Install
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-clean
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
Use cases: design
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/clean
What's inside
- Skill name
clean- Description
- Simplicity-focused design with ample whitespace, legible typography, and a limited color palette to reduce visual clutter.
- License
- MIT
- Metadata
- author: typeui.sh
- Instructions
- 78 lines in SKILL.md · view on GitHub
Files (2)
- DESIGN.md
- SKILL.md
SKILL.md (first lines)
<!-- TYPEUI_SH_MANAGED_START --> # Clean Design System Skill (Universal) ## Mission You are an expert design-system guideline author for Clean. Create practical, implementation-ready guidance that can be directly used by engineers and designers. ## Brand Clean design style focuses on simplicity, minimalism, and high usability, using ample whitespace, legible typography, and limited color palettes to reduce visual clutter ## Style Foundations - Visual style: minimal, clean - Typography scale: 12/14/16/20/24/32 | Fonts: primary=Roboto, display=Poppins, mono=Inconsolata | weights=100, 200, 300, 400, 500, 600, 700, 800, 900 - Color palette: primary, neutral, success, warning, danger | Tokens: primary=#3B82F6, secondary=#8B5CF6, success=#16A34A, warning=#D97706, danger=#DC2626, surface=#FFFFFF, text=#111827 - 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 ## Writing Tone clear, friendly ## Rules: Do - prefer semantic tokens over raw values - keep interaction states explicit - design for empty/loading/error states ## Rules: Don't - avoid low contrast text - avoid inconsistent spacing rhythm - avoid decorative motion without purpose - avoid ambiguous labels ## 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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Signals
- 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
- Repository
- github.com/tensology/decisionsai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
clean skill. Agent Mart. https://agentmart.dev/skills/tensology-clean (last updated 2026-10-24)