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fecarrico / A11Y.md

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A context system for building accessible software by default — for developers and AI, with enforceable rules aligned to WCAG.

18
3
100% credibility
Found Apr 28, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A11Y.md is a collection of guidelines, checklists, and examples designed to help create web interfaces that are accessible to people with disabilities, especially when using AI coding tools.

How It Works

1
🔍 Discover A11Y.md

You stumble upon this helpful guide while looking for ways to make your web project easy for everyone to use, including people with disabilities.

2
📖 Read the friendly guide

You browse the simple explanations and examples that show how to build websites that work well for all kinds of users.

3
📥 Grab the rules file

You copy the main rules checklist right into your own project folder so it's always handy.

4
🤖 Tell your AI helper the rules

You add a quick note to instruct your AI coding buddy to always follow these accessibility rules when creating your pages.

5
🛠️ Build with confidence

As you create buttons, forms, and pop-ups with AI help, everything automatically works smoothly for mouse, keyboard, and screen readers.

6
✅ Double-check your work

You run through the ready-made checklists to confirm your project meets top accessibility standards before sharing it.

🎉 Everyone can use your site

Your website now welcomes all users equally, passing checks and making a real difference without extra hassle.

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AI-Generated Review

What is A11Y.md?

A11Y.md is a Markdown context system you drop into your GitHub repository root to enforce WCAG 2.2 AA and ADA accessibility rules across AI tools like GitHub Copilot, Cursor, and Claude. It acts as a persistent system prompt—similar to CLAUDE.md—guiding code generation toward semantic HTML, proper focus management, and aria-live announcements from the first line. Developers get certifiable a11y compliance without retrofitting, solving AI's tendency to spit out keyboard-breaking divs and silent modals.

Why is it gaining traction?

It stands out by turning accessibility into a GitHub context variable for workflows, Copilot prompts, and actions, unlike static checklists or linters that catch issues late. The hook is immediate impact: AI outputs healthy SPAs with native buttons and ESC-closable modals, slashing fix time in context windows. Ties directly to a11y MDN practices and system context diagrams for traceable audits.

Who should use this?

Frontend devs relying on GitHub Copilot for rapid UI prototyping in React or Vue SPAs. Teams building context github workflows with quality gates before PR merges. UX specialists at startups targeting WCAG audits or context systems in architecture.

Verdict

Grab it if you're engineering AI-assisted UIs—integrates in under 2 minutes via prompts and boosts context engineering hubs. With just 18 stars and 1.0% credibility, it's early-stage and lightly tested, but thorough docs make it a low-risk template for accessible defaults.

(198 words)

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