Skillquality 0.59

agentic

Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.

Price
free
Protocol
skill
Verified
no

What it does

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Agentic Design System Skill (Universal)

Mission

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

Brand

The agentic design style emphasizes conversational interactions, clear outcomes, and minimal controls, allowing users to delegate tasks to AI instead of manually managing complex workflows.

Style Foundations

  • Visual style: modern, bold
  • Typography scale: 14/16/18/24/32/40 | Fonts: primary=Playfair Display, display=Playfair Display, mono=JetBrains Mono | weights=100, 200, 300, 400, 500, 600, 700, 800, 900
  • Color palette: surface/subtle layers | Tokens: primary=#FF5701, secondary=#F6F6F1, 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, 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.
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Capabilities

skillsource-bergsideskill-agentictopic-agent-skillstopic-agentic-aitopic-agentic-workflowtopic-agentstopic-ai-agentstopic-ai-toolstopic-awesometopic-awesome-listtopic-awesome-readmetopic-claude-designtopic-codextopic-cursor

Install

Installnpx skills add bergside/awesome-design-skills
Transportskills-sh
Protocolskill

Quality

0.59/ 1.00

deterministic score 0.59 from registry signals: · indexed on github topic:agent-skills · 277 github stars · SKILL.md body (3,761 chars)

Provenance

Indexed fromgithub
Enriched2026-05-02 12:53:51Z · deterministic:skill-github:v1 · v1
First seen2026-04-18
Last seen2026-05-02

Agent access