figma-audit-accessibility
Deep accessibility scorecard for a single Figma component or component set — state coverage (default/hover/focus/disabled/error/active/loading), focus-indicator quality and contrast, non-color state differentiation, target size, annotation completeness, and color-blind simulation (protanopia/deuteranopia/tritanopia), all rolled into per-category 0–100 scores and prioritized recommendations. Use when the user wants to vet ONE component before shipping it: triggers 'audit this component', 'accessibility score for this button', 'is this component set accessible', 'check the states on this component', 'does my button have a focus state', 'color blind check', 'rate this component for a11y', 'component accessibility scorecard'. Works on ANY Figma plan. For a broad sweep over a whole page/frame use figma-lint-design; for CODE-side (HTML) checks use figma-scan-code-accessibility.
Works with
--- name: figma-audit-accessibility description: Deep accessibility scorecard for a single Figma component or component set — state coverage (default/hover/focus/disabled/error/active/loading), focus-indicator quality and contrast, non-color state differentiation, target size, annotation completeness, and color-blind simulation (protanopia/deuteranopia/tritanopia), all rolled into per-category 0–100 scores and prioritized recommendations. Use when the user wants to vet ONE component before shipping it: triggers 'audit this component', 'accessibility score for this button', 'is this component set accessible', 'check the states on this component', 'does my button have a focus state', 'color blind check', 'rate this component for a11y', 'component accessibility scorecard'. Works on ANY Figma plan. For a broad sweep over a whole page/frame use figma-lint-design; for CODE-side (HTML) checks use figma-scan-code-accessibility. license: MIT --- # figma-audit-accessibility — per-component a11y scorecard Run a deep accessibility audit on a **single component or component set** and get a weighted 0–100 scorecard with prioritized fixes. Where `figma-lint-design` sweeps a whole tree for many rule violations, this skill goes deep on one component: it understands variant axes, classifies the component as interactive vs presentational, and scores each a11y dimension accordingly. All via `use_figma`, on any plan — it inspects the real variant tree, fills, strokes, effects, and the component description. ## Skill boundaries - **`use_figma` rules** — load the official **`figma-use`** skill first; it is the full Figma Plugin API reference. Essentials these scripts rely on: plain JS with top-level `await` + `return` (no IIFE, no `figma.closePlugin()`; `console.log` is not returned), inputs inlined as `const` at the top of each script, colors in 0–1 range, load fonts before any text op, `await figma.getNodeByIdAsync(...)`, and **atomic errors** (a failed script applies nothing — read the error, fix, retry). - **Tree-wide WCAG + design-system lint** → use `figma-lint-design`. - **CODE-side a11y** (axe-core over HTML) → use `figma-scan-code-accessibility`. - **Design-vs-code drift** → use `figma-check-design-parity`. ## Workflow 1. **Target a component.** Set `NODE_ID` to a COMPONENT_SET, COMPONENT, or INSTANCE id (the script walks INSTANCE → main component → parent set automatically). Leave it `null` to audit the current single selection. 2. **Set the tap-target minimum.** `TARGET_SIZE` defaults to 24 (WCAG 2.5.8 minimum); pass 44 or 48 for stricter mobile targets. 3. **Run** [`scripts/audit-accessibility.js`](scripts/audit-accessibility.js) via `use_figma` (`skillNames: "figma-audit-accessibility"`). 4. **Read the scorecard.** `overallScore` is a classification-weighted blend of the six category scores. See [references/audit-categories.md](references/audit-categories.md) for each category, its weight, and how to raise it. 5. **Work the recommendations.** `recommendations[]` is already sorted by `priority` (`high`/`medium`/`low`) with the WCAG SC named. Fix, then re-run to confirm the score moved. ## Key rules - **Interactive vs presentational** is auto-detected from the component name and variant axes. It changes which categories are scored and their weights — a badge is not penalized for lacking a focus state; a button is. - **Colors are 0–1 floats.** Contrast uses sRGB luminance; color-blind simulation uses Brettel/Viénot dichromat matrices. - **Coverage** means interaction states for interactive components, and variant-axis completeness (actual variants ÷ expected combinations) for presentational ones. - The audit is read-only — apply fixes with `figma-manage-variables` / `figma-use`, then re-audit.
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