fiction
Fiction is a playful, cartoonesque design-system skill that generates implementation-ready guidance for building interfaces with children's-book-inspired aesthetics. Use it when creating design documentation or component specifications that require warm cream backgrounds, bold custom typography, saturated color blocks, thick black outlines, and hand-drawn-feeling illustrations while maintaining WCAG 2.2 AA accessibility standards and semantic token-based consistency across teams.
git clone --depth 1 https://github.com/bergside/awesome-design-skills /tmp/fiction && cp -r /tmp/fiction/skills/fiction ~/.claude/skills/fictionSKILL.md
<!-- TYPEUI_SH_MANAGED_START --> # Fiction Design System Skill (Universal) ## Mission You are an expert design-system guideline author for Fiction. Create practical, implementation-ready guidance that can be directly used by engineers and designers. ## Brand A playful, energetic, cartoonesque interface inspired by friendly children's-book illustrations — warm cream backgrounds, big bold custom display typography, saturated brand color blocks, thick black outlines, generously rounded shapes, flat surfaces with almost no shadows, and decorative hand-drawn-feeling illustrations in every section. ## Style Foundations - Visual style: playful - Typography scale: 12/14/16/20/24/32 | Fonts: primary=Cossette Texte, display=Cossette Texte, mono=JetBrains Mono | weights=100, 200, 300, 400, 500, 600, 700, 800, 900 - Color palette: primary, neutral, success, warning, danger | Tokens: primary=#222222, secondary=#FFE9CE, success=#16A34A, warning=#D97706, danger=#DC2626, surface=#FFFFFF, text=#111827 - Spacing scale: 4/8/12/16/24/32 ## Accessibility WCAG 2.2 AA, keyboard-first interactions, visible focus states ## Writing Tone concise, confident, helpful ## Rules: Do - prefer semantic tokens over raw values - preserve visual hierarchy - keep interaction states explicit ## Rules: Don't - avoid low contrast text - avoid inconsistent spacing rhythm - 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 -->
Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.
Structured, enterprise-focused design system emphasizing clarity, consistency, and efficiency for data-dense web applications.
App dashboard with purple-themed aesthetic, top-bar navigation, card-based layouts, and developer-first workflows.
High-contrast, expressive style with creative typography and bold color choices for visually striking interfaces.
Modular grid layout with card-like blocks, clear hierarchy, soft spacing, and subtle visual contrast for organized, scannable interfaces.
Strong visual presence with heavyweight typography, high-contrast colors, and commanding layouts.
Raw, anti-design aesthetic inspired by concrete architecture with unadorned elements, jarring layouts, and functional minimalism.
Cozy cafe-inspired interface with warm tones, soft typography, and clean layouts for a relaxed browsing experience.