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Responsive Review

Community
Owl-Listener
responsive-review

Review responsive and flexible layout for accessibility across devices, zoom levels, and orientations. Chains: responsive-accessibility, flexible-typography, information-density. Use when testing an existing interface across screen sizes and zoom levels for accessibility.

Overview

PublisherOwl-Listener
Repositoryinclusive-design-skills
Skill nameresponsive-review
Stars
108
Forks
28
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Responsive Review 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/Owl-Listener/inclusive-design-skills/tree/main/adaptive-interfaces/skills/responsive-review
  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/Owl-Listener/inclusive-design-skills.git /tmp/inclusive-design-skills
mkdir -p .claude/skills
cp -r /tmp/inclusive-design-skills/adaptive-interfaces/skills/responsive-review .claude/skills/responsive-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Responsive Review 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 Responsive Review 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 Responsive Review 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.

Responsive Accessibility Review

Test whether an interface maintains accessibility across the full range of screen sizes, zoom levels, and orientations that real users encounter.

Process

Step 1: Viewport Testing

Test the interface at these viewport widths:

  • 320px (small mobile)
  • 375px (standard mobile)
  • 768px (tablet)
  • 1024px (small desktop / tablet landscape)
  • 1280px (standard desktop)
  • 1440px+ (large desktop)

At each viewport, using responsive-accessibility, document:

  • Content that overflows or is hidden
  • Interactive elements that are unreachable
  • Touch targets below 44×44px on touch viewports
  • Navigation that doesn't adapt
  • Functionality that disappears entirely

Step 2: Zoom Testing

At 1280px viewport, test at:

  • 100% (baseline)
  • 150% (common for low vision users)
  • 200% (WCAG requirement)

Document:

  • Horizontal scrolling that appears
  • Text that overflows containers
  • Overlapping elements
  • Sticky headers that consume excessive space
  • Modals or tooltips that go off-screen

Step 3: Typography Scaling

Using flexible-typography, test with system font size at maximum. Document:

  • Text that doesn't scale
  • Containers that clip or truncate text
  • Layout that breaks when text grows
  • Fixed-height elements that don't expand

Step 4: Orientation Testing

Test in both portrait and landscape. Document:

  • Content that only works in one orientation
  • Orientation lock that prevents rotation
  • Layout that breaks or wastes space in one orientation

Step 5: Density Check

Using information-density, at each viewport verify:

  • Is the default density appropriate for the device?
  • Can users adjust density?
  • Does compact density maintain minimum touch targets?
  • Does spacious density work without excessive scrolling?

Output

Deliver a responsive accessibility report:

  1. Viewport matrix — pass/fail at each viewport width for core tasks
  2. Zoom results — issues at 150% and 200%
  3. Typography results — text scaling failures
  4. Orientation results — portrait/landscape issues
  5. Fix list — prioritised by severity, grouped by:
    • Fixes that affect all viewports
    • Fixes specific to mobile
    • Fixes specific to zoom

Frequently asked questions

What does the Responsive Review AI skill do?

Review responsive and flexible layout for accessibility across devices, zoom levels, and orientations. Chains: responsive-accessibility, flexible-typography, information-density. Use when testing an existing interface across screen sizes and zoom levels for accessibility.

Why use Responsive Review on TypingMind?

Because you install it once and use it with any model. Responsive Review 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 Responsive Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/inclusive-design-skills/tree/main/adaptive-interfaces/skills/responsive-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Responsive Review?

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 Responsive Review?

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

Is the Responsive Review AI skill free?

Yes. It is published on GitHub by Owl-Listener 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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