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Master Screen Reader Testing for AI Applications

Master Screen Reader Testing for AI Applications

Regular price £34.99
Regular price £34.99 Sale price
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Works withClaude CodeCursorCodexGemini CLI
Master Screen Reader Testing for AI Applications

Master Screen Reader Testing for AI Applications

Regular price £34.99
Regular price £34.99 Sale price
SAVE Sold out

Master Screen Reader Testing for AI Applications

This skill provides developers with the functionalities to effectively test web applications using major screen readers such as VoiceOver, NVDA, and JAWS. It is specifically designed to validate screen reader compatibility, debug accessibility issues, and ensure robust assistive technology support.

What this skill does

  • Validates compatibility between web applications and major screen readers including NVDA, VoiceOver, JAWS, TalkBack, and Narrator.
  • Tests Accessible Rich Internet Applications (ARIA) implementations within web applications.
  • Assists in debugging issues related to assistive technologies.
  • Verifies accessibility of web forms.
  • Tests dynamic content announcements to ensure updates are communicated to screen reader users.
  • Ensures navigation components are accessible through screen readers.

Who it is for

This skill is beneficial for developers and development teams utilizing AI coding agents like Claude Code, Cursor, and Codex. It supports roles involved in ensuring web and application accessibility, such as software engineers, accessibility testers, and quality assurance professionals.

Use cases

  • Developers seeking to validate screen reader functionality as part of their accessibility testing process.
  • Teams focusing on improving ARIA implementation for better assistive technology support.
  • Quality assurance teams debugging navigation issues for users relying on screen readers.
  • Projects aiming to comply with accessibility standards by verifying form accessibility across platforms.

Technical details

The skill utilizes combinations of the following major screen reader-platform-browser integrations for testing:

  • NVDA with Firefox on Windows for minimum coverage.
  • VoiceOver with Safari on macOS and iOS for minimum coverage.
  • Comprehensive coverage by including JAWS with Chrome on Windows, TalkBack with Chrome on Android, and Narrator with Edge on Windows.
  • Tests can be conducted in different screen reader modes such as Browse/Virtual for reading content, Focus/Forms for interacting with controls, and Application for custom ARIA widgets.

Source & Licence

This package is built on open-source work published by wshobson (wshobson/agents) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.

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Instant delivery, clean files, clear docs. This is how digital products should be sold. Already bought three more skills.

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