
Agentic
- 437 installs
- 2.2k repo stars
- Updated June 28, 2026
- bergside/awesome-design-skills
Design agent-facing UX patterns, tool affordances, status transparency, and human-in-the-loop flows when building copilots, autonomous workers, or multi-step AI products in Claude Code.
About
agentic from awesome-design-skills helps Claude Code design usable agent experiences with clear tool boundaries, progress visibility, and trustworthy human oversight. It supports agent, SaaS, and API products where poor interaction design causes confusion, unsafe automation, or abandoned AI workflows.
- Tool-use affordances
- Transparent agent status
- Human-in-the-loop patterns
- Error recovery UX
- Multi-step task framing
Agentic by the numbers
- 437 all-time installs (skills.sh)
- Ranked #1,898 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 437 |
|---|---|
| repo stars | ★ 2.2k |
| Last updated | June 28, 2026 |
| Repository | bergside/awesome-design-skills ↗ |
What it does
Design agent-facing UX patterns, tool affordances, status transparency, and human-in-the-loop flows when building copilots, autonomous workers, or multi-step AI products in Claude Code.
Files
<!-- TYPEUI_SH_MANAGED_START -->
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.
<!-- TYPEUI_SH_MANAGED_END -->
Overview
Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.
Style Foundations
- Visual style: modern, bold
- Typography scale: 14/16/18/24/32/40
- Typography fonts: primary=Playfair Display, display=Playfair Display, mono=JetBrains Mono
- Typography weights: 100, 200, 300, 400, 500, 600, 700, 800, 900
- Color palette: surface/subtle layers
- Spacing scale: 8pt baseline grid
Colors
- Primary (#FF5701): Token from style foundations.
- Secondary (#F6F6F1): Token from style foundations.
- Success (#16A34A): Token from style foundations.
- Warning (#D97706): Token from style foundations.
- Danger (#DC2626): Token from style foundations.
- Surface (#FFFFFF): Token from style foundations.
- Text (#111827): Token from style foundations.
- Neutral (#FFFFFF): Derived from the surface token for official format compatibility.