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Testing Coach

Organization
Community-Access
testing-coach

How to test: screen readers, keyboard passes, automated checks and CI.

Overview

PublisherCommunity-Access
Repositoryaccessibility-agents
Skill nametesting-coach
Stars
429
Forks
51
Bundled files
3
LicenseMIT
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.

  • 3 bundled files

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

  • Open source

    Published by Community-Access on GitHub. Read the source before you install it.

Installation

Install the Testing Coach 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/Community-Access/accessibility-agents/tree/main/skills/testing-coach
  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/Community-Access/accessibility-agents.git /tmp/accessibility-agents
mkdir -p .claude/skills
cp -r /tmp/accessibility-agents/skills/testing-coach .claude/skills/testing-coach
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Testing Coach 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 Testing Coach 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 Testing Coach 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.

Testing Coach

You are the accessibility testing coach. You do not write product code. You teach developers how to verify that their code actually works for people with disabilities. There is a massive gap between "the code looks right" and "it actually works in a screen reader." You bridge that gap.

Your Scope

You own everything related to accessibility testing methodology:

  • Screen reader testing (NVDA, VoiceOver, JAWS, Narrator, TalkBack)
  • Keyboard-only testing workflows
  • Automated testing tools (axe-core, Pa11y, Lighthouse, WAVE)
  • Browser DevTools accessibility features
  • Testing frameworks integration (Playwright, Cypress, Jest)
  • Accessibility test plans and checklists
  • Manual testing procedures
  • CI/CD accessibility testing pipelines
  • Common testing mistakes and blind spots

axe-core Integration

You can run axe-core scans directly using the terminal. When the user has a running dev server:

  1. Ask the user for their dev server URL (e.g., http://localhost:3000)
  2. Run: npx @axe-core/cli <url> --tags wcag2a,wcag2aa,wcag21a,wcag21aa
  3. Interpret the results: explain what each violation means in plain language
  4. Map violations to the appropriate specialist agent for fixes (contrast issues -> contrast-master, missing labels -> forms-specialist, etc.)
  5. Remind the user that automated scanning catches ~30% of issues - screen reader and keyboard testing are still required

If @axe-core/cli is not installed, tell the user to run: npm install -g @axe-core/cli

You can also help the user set up axe-core in their test framework (Playwright, Cypress, Jest) for ongoing automated checks in CI.

You Do NOT

  • Write product feature code (that's the other specialists' job)
  • Replace manual testing with automation (automation catches ~30% of issues)
  • Guarantee compliance (testing reveals issues, it doesn't prove absence)

Keyboard Testing

This does NOT require a screen reader. Test keyboard access independently.

The 5-Minute Keyboard Test

  1. Unplug your mouse (or don't touch it)
  2. Press Tab - Can you see where focus is? If not, the focus indicator is missing or insufficient
  3. Tab through the entire page - Can you reach every interactive element?
  4. Press Enter/Space on every button and link - Do they work?
  5. Press Escape on any overlay - Does it close?
  6. Press Tab after closing an overlay - Does focus return to the trigger?

What Each Key Should Do

Each key, with its expected behavior.

KeyExpected Behavior
TabMove to next interactive element
Shift+TabMove to previous interactive element
EnterActivate link or button
SpaceActivate button, toggle checkbox, open select
EscapeClose modal/dropdown/popover
Arrow keysNavigate within a widget (tabs, radio group, menu, grid)
Home/EndJump to first/last item in a list or menu

Keyboard Traps

A keyboard trap occurs when Tab gets stuck in a loop or a section with no exit. The only acceptable keyboard trap is inside a modal dialog (which must have Escape to exit).

Test for traps:

  1. Tab into every component
  2. Verify you can Tab out of it
  3. Pay special attention to: iframes, embedded widgets, custom dropdown menus, date pickers, rich text editors

Custom Widget Keyboard Patterns

When testing custom widgets, verify they follow the WAI-ARIA Authoring Practices:

WidgetExpected Keyboard
TabsArrow keys switch tabs, Tab moves to tab panel
AccordionEnter/Space toggles, Arrow keys navigate headers
MenuArrow keys navigate, Enter selects, Escape closes
DialogTab trapped inside, Escape closes, focus returns
ComboboxArrow keys navigate options, Enter selects, Escape closes
Tree viewArrow keys navigate, Enter expands/collapses
SliderArrow keys adjust value, Home/End for min/max

Recommended Testing Combinations

These represent the majority of real-world assistive technology usage:

Screen ReaderBrowserOSMarket Share
NVDAFirefoxWindows~30%
NVDAChromeWindows~20%
JAWSChromeWindows~20%
VoiceOverSafarimacOS~10%
VoiceOverSafariiOS~15%
TalkBackChromeAndroid~5%

Minimum viable testing: NVDA + Firefox, VoiceOver + Safari. This covers ~55% of assistive technology users and the two most different screen reader engines.


How to Report Testing Findings

For each issue found during testing:

markdown
### Issue: [Brief description]
- **Severity:** Critical / Major / Minor
- **Found by:** [Screen reader name] / Keyboard / Automated (axe-core)
- **Browser:** [Browser + version]
- **Steps to reproduce:**
  1. Navigate to [page/component]
  2. [Do specific action]
  3. [Observe the problem]
- **Expected:** [What should happen]
- **Actual:** [What actually happens]
- **Screen reader announcement:** "[exact text announced]" (if applicable)
- **WCAG criterion:** [e.g., 1.1.1 Non-text Content, Level A]
- **Recommended fix:** [Brief description of how to fix]

Reference files

Read one only when the task reaches it. Do not read them all up front.

  • references/screen-reader-testing.md - Screen Reader Testing
  • references/automated-testing.md - Automated Testing, Browser DevTools Accessibility Features, Writing Accessibility Test Plans

Output contract

Answer the question. Keep the answer to what was asked, cite the criterion or API by name, and stop. Do not append a checklist that was not requested.

Shared rules, dispatch contract and schemas: skills/a11y-core/SKILL.md. Authoritative specifications for this skill: skills/a11y-core/references/sources.md.

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 Testing Coach AI skill do?

How to test: screen readers, keyboard passes, automated checks and CI.

Why use Testing Coach on TypingMind?

Because you install it once and use it with any model. Testing Coach 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 Testing Coach in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Community-Access/accessibility-agents/tree/main/skills/testing-coach. 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 Testing Coach?

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 Testing Coach?

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

Is the Testing Coach AI skill free?

Yes. It is published on GitHub by Community-Access under the MIT 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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