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Accessibility

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evanca
accessibility

Use when working on accessibility, a11y, WCAG, ARIA, screen readers, keyboard nav, focus order, contrast, alt text, captions, reduced motion, or target sizes; not language/culture/device (see inclusive-design).

Overview

Publisherevanca
Repositoryflutter-ai-rules
Skill nameaccessibility
Stars
651
Forks
67
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by evanca 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/evanca/flutter-ai-rules/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/evanca/flutter-ai-rules.git /tmp/flutter-ai-rules
mkdir -p .claude/skills
cp -r /tmp/flutter-ai-rules/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

Accessibility answers one question:

Can someone use this with assistive tools, a different input method, or a different ability?

It is specifically about people with disabilities being able to perceive, understand, navigate, and interact with a product on equal terms — whether they use a screen reader, only a keyboard, a switch, voice control, magnification, or captions. This is the ability half of designing for everyone. The context half — language, culture, device, affordability, confidence — belongs to the sibling inclusive-design skill. They overlap but have different focuses; keep them distinct so neither gets diluted.

When to use

Use this skill when the task involves any of: WCAG conformance, ARIA, semantic markup, screen-reader support, keyboard/focus management, color contrast, text alternatives (alt text, captions, transcripts), accessible forms and error messages, target sizes, timing/timeouts, motion sensitivity, or cognitive accessibility. Also use it whenever someone asks to "make this accessible," run an a11y audit, or check whether a disabled user can complete a task.

When not to use it: if the real concern is who gets left out by context — non-English speakers, people on cheap phones or slow networks, people who can't afford data, first-time or anxious users, or global name/address formats — that is inclusion, not accessibility. Switch to the inclusive-design skill.

The mental model: POUR

WCAG organizes all of accessibility under four principles. Use them as your audit lens — every issue you find maps to one of them.

  • Perceivable — users can sense the content through some channel. Don't rely on one sense alone. (Text alternatives for images, captions/transcripts for audio and video, sufficient color contrast, not using color alone to convey meaning, content that reflows and survives zoom.)
  • Operable — users can drive the interface with whatever input they have. (Everything reachable and usable by keyboard, visible focus, no keyboard traps, adequate target sizes, generous or adjustable time limits, nothing that flashes in a seizure-inducing way.)
  • Understandable — users can predict and comprehend behavior. (Clear labels, instructions, and error messages; consistent navigation; predictable interactions; readable language.)
  • Robust — assistive tech can actually parse it. (Valid semantic structure; correct name/role/value on every control; native semantics first, ARIA only to fill gaps.)

A useful test for any element: if I could not see it, hear it, use a mouse, or read quickly — could I still complete this task? If the answer is no under any of those, you've found the principle that's failing.

Who and what you are designing for

Design for the assistive tools and input methods people actually use, not an abstract "disabled user":

  • Screen readers (VoiceOver, TalkBack, NVDA, JAWS) — need correct semantics, reading order, labels, and announcements of dynamic changes.
  • Keyboard-only and switch users — need a logical focus order, visible focus, and no mouse-only interactions.
  • Voice control — needs visible, speakable labels that match the accessible name.
  • Screen magnification and zoom — needs layouts that reflow without horizontal scrolling or clipping at 200%+.
  • Captions / transcripts users — Deaf and hard-of-hearing users, and anyone in a loud or silent environment.
  • People with cognitive and learning disabilities — need clear language, low memory load, and forgiving flows (see below).

Note the recurring pattern: most of these help far more people than the group they target — the same insight that drives inclusive design.

Fast audit checklist

Walk these in order; each line is a concrete thing to check or fix.

  1. Keyboard — Tab through the whole flow. Is every control reachable and operable? Is focus visible? Is the order logical? Can you get trapped?
  2. Screen reader — Does every control announce a meaningful name and role? Are images given text alternatives (or marked decorative)? Are dynamic updates (errors, loading, toasts) announced?
  3. Contrast & color — Does text meet contrast minimums (4.5:1 body, 3:1 large)? Is any meaning carried by color alone (e.g., red = error with no icon/text)?
  4. Structure — Are headings, lists, landmarks/regions, and labels semantic rather than visual-only? Does reading order match visual order?
  5. Forms & errors — Is every field labeled (not placeholder-only)? Are errors identified in text, tied to their field, and explained with how to fix?
  6. Targets & timing — Are tap targets large enough and spaced? Are time limits absent, generous, or adjustable? Is autosave used to prevent data loss?
  7. Media & motion — Captions/transcripts for audio/video? Does the UI honor reduced-motion preferences? Nothing flashing more than ~3×/second?
  8. Zoom/reflow — At 200% zoom (or large system font), does content reflow without clipping or horizontal scroll?

Beyond conformance: cognitive accessibility

WCAG alone does not cover everything people with cognitive and learning disabilities (dyslexia, ADHD, autism, dementia, aphasia, memory or attention differences) need. The W3C COGA guidance is supplemental, not required for WCAG conformance, and it is where the highest-leverage improvements for the largest hidden population usually live: clear language, consistent design, single-step instructions, not relying on memory, forgiving error recovery, and minimizing distraction.

Read references/cognitive-accessibility.md for COGA's eight objectives and their concrete design patterns when the task touches readability, complex flows, forms, logins, or "this is confusing/overwhelming."

Motion, sensory, and age-related needs

Animation and motion can cause real harm (nausea, dizziness, loss of focus) for people with vestibular disorders, and seizures for people with photosensitivity. Honor the user's prefers-reduced-motion setting — reduce or replace motion rather than removing all feedback.

Older users are a large group whose age-related changes in vision, dexterity, hearing, and memory overlap directly with disability needs — designing well here helps everyone age into your product. (Treat age as a context/identity dimension — first-time confidence, life stage — in the inclusive-design skill; treat age-related ability change here.)

Read references/motion-and-sensory.md for prefers-reduced-motion patterns (with code), photosensitivity limits, and the older-user ability overlap.

How to verify

Automated checkers (axe, Lighthouse, Accessibility Scanner, etc.) catch maybe a third of issues — necessary but never sufficient. Always add manual checks: navigate the real flow with the keyboard only, then again with a screen reader, then with the OS reduced-motion and large-text settings on. The bug a tool can't catch — a focus order that makes no sense, a label that lies — is usually the one that actually blocks someone.

References

Load these only when the task calls for the depth:

Primary sources:

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Accessibility AI skill do?

Use when working on accessibility, a11y, WCAG, ARIA, screen readers, keyboard nav, focus order, contrast, alt text, captions, reduced motion, or target sizes; not language/culture/device (see inclusive-design).

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/evanca/flutter-ai-rules/tree/main/skills/accessibility. TypingMind reads its SKILL.md and bundles its files 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 evanca 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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