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Accessibility

Community
Tranz007
accessibility

Review UX design intent and available implementation evidence for accessibility barriers, inclusive interaction, WCAG or Section 508 requirements, keyboard and focus behavior, semantics, dynamic announcements, content, motion, zoom/reflow, and recovery. Use when a designer asks for an accessibility review or needs accessibility behavior defined before engineering handoff.

Overview

PublisherTranz007
Repositoryux-skills
Skill nameaccessibility
Stars
48
Forks
4
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 Tranz007 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/Tranz007/ux-skills/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/Tranz007/ux-skills.git /tmp/ux-skills
mkdir -p .claude/skills
cp -r /tmp/ux-skills/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

Make accessibility part of the interaction design rather than a compliance pass at the end.

Always

  • Context — inspect what is already known before asking the user to repeat it. Use .ux/INTENT.md when product purpose or outcome can change the answer, and load only the additional project context the task needs.
  • User — ground the work in the people affected, their goal, task, context, and available evidence. Do not invent user needs, behaviors, or personas.
  • Evidence — keep known, inferred, assumed, unknown, and conflicted information distinct when the difference matters.
  • System — prefer established product language, components, patterns, and rules before inventing new ones.
  • Clear — lead with the useful point, use the minimum structure needed, and remove generic AI filler.
  • Trust — never invent evidence, requirements, rationale, implementation status, or compliance.
  • Outcome — for substantial multi-step work, keep intent active, use a small .ux/STATE.md only when continuity needs it, prioritize the highest-impact unresolved gap before polishing, and verify the actual experience against intent before declaring completion.

Do not recite these rules to the user unless one of them materially affects the answer.

Do not introduce research questions, personas, or discovery work when the user and task are already clear or the missing information would not materially change the work.

Establish the actual target

Read accessibility expectations from the smallest relevant .ux/ context when present, then inspect organizational policy, project standards, design-system accessibility documentation, and relevant platform requirements. If the project does not define a target, state what standard you are using as a review baseline rather than inventing a requirement.

Inspect behavior, not just appearance

Review only the dimensions relevant to the work, including:

  • semantic structure and programmatic relationships;
  • accessible names, labels, instructions, status, and errors;
  • keyboard operation and visible focus;
  • focus movement after navigation, validation, async updates, dialogs, and errors;
  • screen-reader announcements for meaningful dynamic change;
  • reading and interaction order;
  • contrast when actual values can be verified;
  • zoom, text resize, reflow, orientation, and responsive behavior;
  • target size and pointer alternatives;
  • motion, timing, auto-updating, or flashing content;
  • cognitive load, error prevention, and recovery;
  • alternatives for sensory-only cues;
  • authentication or verification interactions that may create barriers.

Use established accessible behavior from the design system rather than redesigning it locally.

Separate design findings from verification

A static design can reveal missing intent but cannot prove runtime accessibility. Code inspection can reveal likely behavior but does not replace keyboard, browser, screen-reader, zoom/reflow, or other appropriate testing.

Never claim WCAG or Section 508 compliance solely from a design review.

Output

Lead with barriers that can block task completion or create exclusion. For each material issue, state the condition, expected accessible behavior, available evidence, and what must be verified in implementation.

Avoid dumping the entire WCAG checklist when most criteria are irrelevant to the artifact.

Examples

  • "Accessibility-review this flow."
  • "What does engineering need to implement here for keyboard and screen readers?"
  • "Check this against our 508 expectations."
  • "Can I call this WCAG compliant yet?"

Frequently asked questions

What does the Accessibility AI skill do?

Review UX design intent and available implementation evidence for accessibility barriers, inclusive interaction, WCAG or Section 508 requirements, keyboard and focus behavior, semantics, dynamic announcements, content, motion, zoom/reflow, and recovery. Use when a designer asks for an accessibility review or needs accessibility behavior defined before engineering handoff.

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/Tranz007/ux-skills/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 Tranz007 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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