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Accessibility

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MartinOlivero
accessibility

This skill should be used when building or reviewing UI for accessibility — keyboard navigation, screen readers, ARIA, color contrast, focus states, accessible forms, or WCAG compliance. Trigger phrases include "make it accessible", "a11y", "accessibility", "WCAG", "ARIA", "keyboard navigation", "screen reader", "color contrast", "focus states", "accessible form", "is this compliant", "EAA", "ADA". It targets WCAG 2.2 AA with concrete component rules and an axe-core test step.

Overview

PublisherMartinOlivero
Repositorysaas-builder
Skill nameaccessibility
Stars
4
Forks
2
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MartinOlivero on GitHub. Read the source before you install it.

Installation

Install the Accessibility AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MartinOlivero/saas-builder/tree/main/skills/accessibility
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MartinOlivero/saas-builder.git /tmp/saas-builder
mkdir -p .claude/skills
cp -r /tmp/saas-builder/skills/accessibility .claude/skills/accessibility
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Accessibility in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Accessibility on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Accessibility is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Accessibility

This skill makes interfaces usable by everyone — keyboard-only users, screen-reader users, low-vision users — and meets the legal bar (the EU Accessibility Act and ADA Title II both reference WCAG). Accessibility is not a nice-to-have; it's increasingly a legal requirement and always a larger addressable market.

Analogy: a curb cut was built for wheelchairs, but everyone with a stroller, suitcase, or bike uses it. Accessible UI is the same — built for those who need it, better for everyone.

Dependencies

This skill is stronger when Vercel's web-design-guidelines skill (part of vercel-labs/agent-skills, ~27k⭐) is installed — it ships the ARIA/focus/keyboard checklist. Delegate the checklist to it when present; always pair with the axe-core test step below, which catches runtime violations a static checklist can't. Never block on a missing dependency — the rules below are the embedded fallback.

The target

WCAG 2.2 Level AA — the bar referenced by the EU EAA, ADA Title II, and Section 508. Automated tools catch only ~30-40% of issues, so combine automated tests with manual checks.

Discovery (max 3 questions, only if unknown)

  1. Are you building new components or auditing existing UI?
  2. Any specific complaint (keyboard trap, unreadable contrast, screen reader silent)?
  3. Is there a CI pipeline where an a11y test could run?

Step 1 — Semantic HTML first

Use native elements before ARIA: <button>, <nav>, <main>, <label>, <a>. "No ARIA is better than bad ARIA" — reach for ARIA only when no native element fits. Maintain a logical heading hierarchy (one <h1>, no skipped levels) and add a "skip to content" link.

Step 2 — Keyboard & focus

  • Every interactive element reachable and operable by keyboard alone (Tab / Shift-Tab / Enter / Space / Esc). Test by unplugging the mouse.
  • Never remove focus outlines without a replacement. Style :focus-visible instead of outline: none.
  • No keyboard traps — focus must be able to leave any widget (modals: trap within while open, release on close).

Step 3 — Forms

  • Every input has a programmatically associated <label> (or aria-label).
  • Link errors with aria-describedby + set aria-invalid on the field.
  • Don't rely on color alone to signal errors — add text/icon.

Step 4 — Color & targets

  • Contrast ≥ 4.5:1 for normal text, ≥ 3:1 for large text and UI components/focus indicators.
  • Touch targets ≥ 24×24px (WCAG 2.2 SC 2.5.8); 44×44px recommended for primary actions.

Step 5 — Dynamic content & motion

  • Announce async updates (toasts, validation, loading) with an aria-live="polite" region.
  • Honor prefers-reduced-motion — gate non-essential animation behind it (also a WCAG 2.3.3 requirement). Coordinate with the ui-design motion settings.

Step 6 — Test it

  • Add jest-axe and assert per component: expect(await axe(container)).toHaveNoViolations(). Run it in CI.
  • Manually test one full flow with a real screen reader (VoiceOver on macOS, NVDA on Windows) — automated tools can't judge whether the announced experience makes sense.

Output

Deliver: the accessible components (semantic markup, labels, focus handling), the contrast/target fixes, an aria-live region for dynamic status, and a jest-axe test wired into CI.

Reference

w3c/wcag (WCAG 2.2), dequelabs/axe-core (~7k⭐), nickcolley/jest-axe, vercel-labs/agent-skills web-design-guidelines.

Frequently asked questions

What does the Accessibility AI skill do?

This skill should be used when building or reviewing UI for accessibility — keyboard navigation, screen readers, ARIA, color contrast, focus states, accessible forms, or WCAG compliance. Trigger phrases include "make it accessible", "a11y", "accessibility", "WCAG", "ARIA", "keyboard navigation", "screen reader", "color contrast", "focus states", "accessible form", "is this compliant", "EAA", "ADA". It targets WCAG 2.2 AA with concrete component rules and an axe-core test step.

Why use Accessibility on TypingMind?

Because you install it once and use it with any model. Accessibility is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Accessibility in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MartinOlivero/saas-builder/tree/main/skills/accessibility. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Accessibility?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Accessibility?

As many as you like. As long as a model supports skills, you can use Accessibility with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Accessibility AI skill free?

Yes. It is published on GitHub by MartinOlivero under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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