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A11y Debugging

OrganizationPopular
ChromeDevTools
a11y-debugging

Uses Chrome DevTools MCP for accessibility (a11y) debugging and auditing based on web.dev guidelines. Use when testing semantic HTML, ARIA labels, focus states, keyboard navigation, tap targets, and color contrast.

Overview

PublisherChromeDevTools
Repositorychrome-devtools-mcp
Skill namea11y-debugging
Stars
52.3K
Forks
4.2K
Bundled files
1
LicenseApache-2.0
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the A11y Debugging 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.
  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/ChromeDevTools/chrome-devtools-mcp.git /tmp/chrome-devtools-mcp
mkdir -p .claude/skills
cp -r /tmp/chrome-devtools-mcp/skills/a11y-debugging .claude/skills/a11y-debugging
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable A11y Debugging 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 A11y Debugging 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 A11y Debugging 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.

Core Concepts

Page Targeting: Page-scoped tools (take_snapshot, list_console_messages, evaluate_script, press_key, take_screenshot, lighthouse_audit, etc.) require a pageId parameter. Retrieve available page IDs using list_pages or from new_page.

Accessibility Tree vs DOM: Visually hiding an element (e.g., CSS opacity: 0) behaves differently for screen readers than display: none or aria-hidden="true". The take_snapshot tool returns the accessibility tree of the page, which represents what assistive technologies "see", making it the most reliable source of truth for semantic structure.

Reading web.dev documentation: If you need to research specific accessibility guidelines (like https://web.dev/articles/accessible-tap-targets), you can append .md.txt to the URL (e.g., https://web.dev/articles/accessible-tap-targets.md.txt) to fetch the clean, raw markdown version. This is much easier to read!

Workflow Patterns

1. Automated Audit (Lighthouse)

Start by running a Lighthouse accessibility audit to get a comprehensive baseline. This tool provides a high-level score and lists specific failing elements with remediation advice.

  1. Run the audit:
    • Set mode to "navigation" to refresh the page and capture load issues.
    • Set outputDirPath (e.g., /tmp/lh-report) to save the full JSON report.
  2. Analyze the Summary:
    • Check scores (0-1 scale). A score < 1 indicates violations.
    • Review audits.failed count.
  3. Review the Report (CRITICAL):
    • Parsing: Do not read the entire file line-by-line. Use a CLI tool like jq or a Node.js one-liner to filter for failures:
      bash
      # Extract failing audits with their details
      node -e "const r=require('./report.json'); Object.values(r.audits).filter(a=>a.score!==null && a.score<1).forEach(a=>console.log(JSON.stringify({id:a.id, title:a.title, items:a.details?.items})))"
    • This efficiently extracts the selector and snippet of failing elements without loading the full report into context.

2. Browser Issues & Audits

Chrome automatically checks for common accessibility problems. Use list_console_messages to check for these native audits:

  • types: ["issue"]
  • includePreservedMessages: true (to catch issues that occurred during page load)

This often reveals missing labels, invalid ARIA attributes, and other critical errors without manual investigation.

3. Semantics & Structure

The accessibility tree exposes the heading hierarchy and semantic landmarks.

  1. Navigate to the page.
  2. Use take_snapshot to capture the accessibility tree.
  3. Check Heading Levels: Ensure heading levels (h1, h2, h3, etc.) are logical and do not skip levels. The snapshot will include heading roles.
  4. Content Reordering: Verify that the DOM order (which drives the accessibility tree) matches the visual reading order. Use take_screenshot to inspect the visual layout and compare it against the snapshot structure to catch CSS floats or absolute positioning that jumbles the logical flow.

4. Labels, Forms & Text Alternatives

  1. Locate buttons, inputs, and images in the take_snapshot output.
  2. Ensure interactive elements have an accessible name (e.g., a button should not just say "" if it only contains an icon).
  3. Orphaned Inputs: Verify that all form inputs have associated labels. Use evaluate_script with the "Find Orphaned Form Inputs" snippet found in references/a11y-snippets.md.
  4. Check images for alt text.

5. Focus & Keyboard Navigation

Testing "keyboard traps" and proper focus management without visual feedback relies on tracking the focused element.

  1. Use the press_key tool with "Tab" or "Shift+Tab" to move focus.
  2. Use take_snapshot to capture the updated accessibility tree.
  3. Locate the element marked as focused in the snapshot to verify focus moved to the expected interactive element.
  4. If a modal opens, focus must move into the modal and "trap" within it until closed.

6. Tap Targets and Visuals

According to web.dev, tap targets should be at least 48x48 pixels with sufficient spacing. Since the accessibility tree doesn't show sizes, use evaluate_script with the "Measure Tap Target Size" snippet found in references/a11y-snippets.md.

Pass the element's uid from the snapshot as an argument to evaluate_script.

7. Color Contrast

To verify color contrast ratios, start by checking for native accessibility issues:

  1. Call list_console_messages with types: ["issue"].
  2. Look for "Low Contrast" issues in the output.

If native audits do not report issues (which may happen in some headless environments) or if you need to check a specific element manually, use evaluate_script with the "Check Color Contrast" snippet found in references/a11y-snippets.md.

8. Global Page Checks

Verify document-level accessibility settings often missed in component testing using the "Global Page Checks" snippet found in references/a11y-snippets.md.

Troubleshooting

If standard a11y queries fail or the evaluate_script snippets return unexpected results:

  • Visual Inspection: If automated scripts cannot determine contrast (e.g., text over gradient images or complex backgrounds), use take_screenshot to capture the element. While models cannot measure exact contrast ratios from images, they can visually assess legibility and identify obvious issues.

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 A11y Debugging AI skill do?

Uses Chrome DevTools MCP for accessibility (a11y) debugging and auditing based on web.dev guidelines. Use when testing semantic HTML, ARIA labels, focus states, keyboard navigation, tap targets, and color contrast.

Why use A11y Debugging on TypingMind?

Because you install it once and use it with any model. A11y Debugging 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 A11y Debugging in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ChromeDevTools/chrome-devtools-mcp/tree/main/skills/a11y-debugging. 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 A11y Debugging?

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 A11y Debugging?

As many as you like. As long as a model supports skills, you can use A11y Debugging with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the A11y Debugging AI skill free?

Yes. It is published on GitHub by ChromeDevTools under the Apache-2.0 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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