accessibility-audit

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Generate a WCAG 2.2 accessibility audit checklist and remediation suggestions for any UI or design. Use when asked to audit for accessibility, check WCAG compliance, review a design for a11y issues, or create an accessibility remediation plan. Produces a prioritised checklist with pass/fail assessments and specific fixes.

AI & Automation 1,356 stars 240 forks Updated yesterday MIT

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Skill Content

# Accessibility Audit Skill This skill produces a structured accessibility audit based on WCAG 2.2 guidelines. It covers visual, motor, cognitive, and screen reader accessibility — with prioritised remediation for each issue found. ## Required Inputs Ask the user for these if not provided: - **What is being audited** (screen, component, full product, design spec) - **Description or image** of the UI - **Target WCAG level** (A / AA / AAA — default to AA, which is the legal standard in most jurisdictions) - **Known assistive technology users?** (Yes/No — if yes, which: screen reader / switch access / voice control / magnification) - **Platform** (Web / iOS / Android / Desktop app) ## Programmatic Helper Contrast ratios cannot be eyeballed. The AA line sits at 4.5:1, and `#777777` on white is 4.478 (fails) while `#767676` is 4.54 (passes) — no amount of looking at a screenshot separates those. Compute them: ```bash npx --yes notugly fix "#8ab4f8" "#ffffff" # ratio, APCA, and the nearest passing colour npx --yes notugly onepager <url> --out review.html # every pairing, printable npx --yes notugly vision # which colours merge for colour-blind viewers ``` `notugly fix` returns the ratio, the APCA lightness contrast, and the closest colour to the one already chosen that passes — same hue, same chroma. Paste those numbers into the tables below rather than estimating them. Deterministic, zero dependencies, and **no model call** — so it costs nothing...

Details

Author
mohitagw15856
Repository
mohitagw15856/pm-claude-skills
Created
7 months ago
Last Updated
yesterday
Language
HTML
License
MIT

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