a11y-debugging

chromedevtools/chrome-devtools-mcp · updated Apr 8, 2026

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$npx skills add https://github.com/chromedevtools/chrome-devtools-mcp --skill a11y-debugging
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summary

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.

skill.md

Core Concepts

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:
      # 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.
how to use a11y-debugging

How to use a11y-debugging on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add a11y-debugging
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/chromedevtools/chrome-devtools-mcp --skill a11y-debugging

The skills CLI fetches a11y-debugging from GitHub repository chromedevtools/chrome-devtools-mcp and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/a11y-debugging

Reload or restart Cursor to activate a11y-debugging. Access the skill through slash commands (e.g., /a11y-debugging) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.774 reviews
  • Michael Tandon· Dec 28, 2024

    Registry listing for a11y-debugging matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Luis Martin· Dec 24, 2024

    Solid pick for teams standardizing on skills: a11y-debugging is focused, and the summary matches what you get after install.

  • Dev Sanchez· Dec 24, 2024

    a11y-debugging reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kofi Abebe· Dec 20, 2024

    Keeps context tight: a11y-debugging is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Omar Iyer· Dec 8, 2024

    a11y-debugging has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Neel Bhatia· Dec 4, 2024

    I recommend a11y-debugging for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Omar Menon· Nov 27, 2024

    a11y-debugging fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Dev Ramirez· Nov 23, 2024

    a11y-debugging is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Hiroshi Abbas· Nov 23, 2024

    a11y-debugging reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Naina Tandon· Nov 19, 2024

    Useful defaults in a11y-debugging — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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