a11y-checker

What This Skill Does

The a11y-checker is an AI-powered accessibility auditing tool designed to integrate directly into your development workflow. Unlike traditional static analysis tools that merely flag errors and list WCAG criteria, this skill uses generative AI to provide actionable code suggestions. It parses your HTML and JSX files to identify complex accessibility failures, ranging from missing alt text and poor color contrast to intricate ARIA attribute misuse and broken focus management. By acting as an automated accessibility consultant, it helps developers bridge the gap between identifying a violation and implementing the correct, accessible solution.

Installation

To integrate this tool into your OpenClaw environment, use the provided package manager command. Ensure you have Node.js 18 or higher installed on your system. You must also generate an OpenAI API key and set it as an environment variable (OPENAI_API_KEY) in your shell profile or local project settings to enable the AI-powered code analysis engine.

Command: clawhub install openclaw/skills/skills/lxgicstudios/ai-a11y

Use Cases

This skill is essential for maintaining WCAG compliance throughout the software development lifecycle. Use it during the active development phase to audit new components before they are committed to the main branch, or use it to perform a large-scale audit of a legacy codebase that has accumulated accessibility debt. It is particularly effective as a pre-deployment checkpoint in CI/CD pipelines to ensure that no inaccessible code reaches production. Developers working on UI libraries or design systems will find it invaluable for maintaining consistent interaction patterns across a large suite of components.

Example Prompts

1. "Check the accessibility of the Navbar.tsx component and rewrite the menu buttons to be fully keyboard accessible."
2. "Scan the entire /src/views directory for WCAG violations and provide a report summarizing the fix suggestions for each identified issue."
3. "Analyze this login form code and tell me what is missing to make it screen-reader friendly, then generate the updated JSX."

Tips & Limitations

To get the best results, run the tool on smaller batches of files; analyzing massive codebases in one go may hit token limits or reduce the granularity of the AI's suggestions. Always verify the AI-generated code against your project's specific design patterns, as the tool suggests fixes based on general accessibility standards. While the tool is highly accurate, it acts as an assistant; manual verification remains a best practice for mission-critical applications. Remember that some accessibility issues, such as screen reader navigation flow, are difficult to fully assess without human user testing.