Experience Accessibility Validate logo

Experience Accessibility Validate

OrganizationPopular
forcedotcom
experience-accessibility-validate

Use this skill to determine whether a Lightning Web Component (LWC) is accessible and meets WCAG accessibility guidelines. TRIGGER when the user asks "is my component accessible?", "does my LWC meet accessibility guidelines?", "is this component WCAG compliant?", "find accessibility problems in this LWC", "is this LWC keyboard accessible?", "does this component work with a screen reader?", "does this component have sufficient color contrast?", "check ARIA usage in this LWC", or "WCAG 2.2 accessibility check". Also TRIGGER when the user wants to fix or improve accessibility (a11y, WCAG, ARIA) in an LWC's HTML, JS, or CSS — semantic markup, focus, keyboard nav, contrast, screen-reader labels, WCAG 2.2 SC. Produces `a11y-review.md` with WCAG-cited findings. DO NOT TRIGGER for general LWC generation (use `experience-lwc-generate`) or SLDS visual/design review not focused on accessibility (use `design-systems-slds-validate`).

Overview

Publisherforcedotcom
Repositorysf-skills
Skill nameexperience-accessibility-validate
Stars
1.1K
Forks
351
Bundled files
29
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.

  • 29 bundled files

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

  • Open source

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

Installation

Install the Experience Accessibility Validate 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.
    https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/experience-lwc/skills/experience-accessibility-validate
  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/forcedotcom/sf-skills.git /tmp/sf-skills
mkdir -p .claude/skills
cp -r /tmp/sf-skills/plugins/builder/experience-lwc/skills/experience-accessibility-validate .claude/skills/experience-accessibility-validate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Experience Accessibility Validate 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 Experience Accessibility Validate 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 Experience Accessibility Validate 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.

Web Component Accessibility

Accessibility (a11y) patterns and remediation guidance for web components. Reference any time work involves the visible or interactive surface of a component — generating, modifying, reviewing, or styling HTML, JS, or CSS — to apply WCAG 2.2 standards.

Review Context

Conduct a review specifically focused on enhancing web accessibility, guided by the WCAG (Web Content Accessibility Guidelines).

In order to mark code as a violation, it must have a direct correlation to the WCAG rule cited such that it is a clear violation of the criteria.

Key Review Criteria:

  1. Focus Exclusively on Accessibility:
  • Evaluate the component solely for accessibility.
  • Only consider compliance with the cited WCAG Success Criteria, ignoring violations that can be attributed to other criteria.
  • Avoid addressing general code style, patterns, or issues unrelated to accessibility.
  1. Ensure Minimum and Sufficient Accessibility:
  • Identify accessibility issues that prevent the component from meeting the minimum requirements outlined by WCAG.
  • Avoid suggesting enhancements that go beyond the scope of WCAG compliance unless strictly necessary.
  1. WAI-ARIA Usage:
  • Use WAI-ARIA attributes only when strictly required to achieve accessibility that cannot otherwise be addressed with semantic HTML.
  • Avoid unnecessary complexity or potential regressions caused by incorrect or overuse of ARIA attributes.
  1. Component Library Usage
  • Assume that well-known component libraries (e.g., Salesforce Lightning, Material UI, Chakra UI) are accessible out of the box when correctly implemented. Unless they are used specifically in conflict with WCAG, library-provided components can be ignored for this review, as they are implemented in an accessible way beneath the abstraction.

Focus: Provide actionable feedback to ensure the component meets the necessary WCAG accessibility requirements, avoiding extraneous feedback unrelated to the prompt's scope. Identify issues in code only if there is an immediate fix. You MUST conduct the review, and subsequently suggest the code fix that solves this issue.

Success Criteria Reviewers

Identify which Success Criteria apply to the code under review, then open the reference files relevant to that code. Each reference is a self-contained reviewer with analysis framework, examples, and remediation guidance.

Perceivable

Operable

Understandable

Robust

Vision-Assisted Review

When component screenshots or design mocks are available, augment the source-code review with these vision-level reviewers. Each reference covers image-based evaluation for the corresponding Success Criterion — contrast ratios, color dependence, resize/reflow behavior, and non-text content identification from pixels rather than from the DOM.

Review Output

For each Success Criterion you evaluated, report violations found. If no violations exist for a criterion, return an empty list for that criterion.

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 Experience Accessibility Validate AI skill do?

Use this skill to determine whether a Lightning Web Component (LWC) is accessible and meets WCAG accessibility guidelines. TRIGGER when the user asks "is my component accessible?", "does my LWC meet accessibility guidelines?", "is this component WCAG compliant?", "find accessibility problems in this LWC", "is this LWC keyboard accessible?", "does this component work with a screen reader?", "does this component have sufficient color contrast?", "check ARIA usage in this LWC", or "WCAG 2.2 accessibility check". Also TRIGGER when the user wants to fix or improve accessibility (a11y, WCAG, ARIA...

Why use Experience Accessibility Validate on TypingMind?

Because you install it once and use it with any model. Experience Accessibility Validate 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 Experience Accessibility Validate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/experience-lwc/skills/experience-accessibility-validate. 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 Experience Accessibility Validate?

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 Experience Accessibility Validate?

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

Is the Experience Accessibility Validate AI skill free?

Yes. It is published on GitHub by forcedotcom 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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