builder-design

Plugin builder-design from marketplace rbraga01 in RBraga01/a-team. Commands read from the repo's manifest — 12 days ago.

Skills (8)

• accessible-ai-output

  Use before shipping any UI that renders AI-generated content. Dynamic model output requires ARIA live regions, reading order, and cognitive load review that static content does not. Blocks "we'll do accessibility later" completions.

• ai-component-patterns

  Use when designing or implementing any of the 6 core AI UI components. Each has specific patterns, pitfalls, and required sub-components that generic UI components don't address.

• ai-onboarding-design

  Use when designing first-run flows and empty states for AI features. AI onboarding has specific requirements — model capability communication, trust building, and graceful degradation when the model doesn't know — that generic onboarding patterns miss.

• ai-output-design

  Use when designing how AI-generated content is rendered — streaming text, structured data, citations, code blocks, and uncertainty signals. Covers both visual rendering and the accessibility layer.

• ai-states-required

  Use before writing any code for an AI feature's UI. All 7 states must be designed and documented before implementation begins. Blocks "we'll add loading states later" completions.

• design-before-code

  Use before implementing any new AI feature UI component. Requires a written shape/spec — layout, states, copy, interactions — before a single line of implementation code is written. Blocks "I'll design it as I build it" completions.

• design-token-audit

  Use before any AI feature UI lands in production. Every colour, spacing value, typography, shadow, and border in AI components must reference design tokens — no hardcoded values. Blocks "I'll align with the design system later" completions.

• prompt-ux-design

  Use when designing the user-facing prompt experience for any AI feature. Covers input design, suggestion patterns, history, feedback signals, and the interaction model between user intent and model execution.

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