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Review

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Owl-Listener
review

Review and surface undocumented accessibility assumptions in an existing feature or product. Chains: decision-documentation, tradeoff-analysis, compliance-mapping, accessibility-debt-tracking. Use when inheriting a product, joining a team, or auditing a feature where accessibility decisions were never formally captured.

Overview

PublisherOwl-Listener
Repositoryinclusive-design-skills
Skill namereview
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 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/accessibility-decisions/skills/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/accessibility-decisions/skills/review .claude/skills/review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Review Accessibility Decisions

Surface the accessibility decisions that were made — deliberately or by default — in an existing feature, and document them before they get lost.

Process

Step 1: Identify Implicit Decisions

Walk through the feature and list every design choice that affects accessibility, even if nobody explicitly decided it:

  • How is keyboard navigation handled?
  • What happens with screen readers?
  • What colour and contrast choices were made?
  • How are errors communicated?
  • What motion and animation exists?
  • What user preferences are respected?

Many of these were never consciously decided — they were inherited from a framework, copied from another feature, or left at defaults. Those are still decisions. Document them.

Step 2: Assess Each Decision

For each identified decision, determine:

  • Was this intentional or accidental?
  • Does it meet current accessibility standards?
  • Who does it serve well? Who does it exclude?
  • Is there evidence behind it or was it arbitrary?

Step 3: Check for Undocumented Tradeoffs

Using tradeoff-analysis, identify decisions where accessibility was traded for something else:

  • Speed: "we didn't have time to make this keyboard accessible"
  • Complexity: "the accessible version was too hard to build"
  • Design: "the accessible version didn't look right"
  • Ignorance: "we didn't know this was an issue"

Document each with its current impact on users.

Step 4: Map Current Compliance

Using compliance-mapping, assess the feature's current state against WCAG 2.2 Level AA. Identify conformance gaps.

Step 5: Catalogue Debt

Using accessibility-debt-tracking, create a debt record for every known issue discovered in this review.

Output

Deliver a decision review report:

  1. Decision inventory — every accessibility-affecting decision found, marked as intentional or accidental
  2. Undocumented tradeoffs — decisions where accessibility was sacrificed, with current user impact
  3. Compliance gaps — WCAG criteria not currently met
  4. Debt register — known issues with severity, owner, and recommended timeline
  5. Recommendations — which decisions should be revisited first

Frequently asked questions

What does the Review AI skill do?

Review and surface undocumented accessibility assumptions in an existing feature or product. Chains: decision-documentation, tradeoff-analysis, compliance-mapping, accessibility-debt-tracking. Use when inheriting a product, joining a team, or auditing a feature where accessibility decisions were never formally captured.

Why use Review on TypingMind?

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

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

Which AI models can use 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 Review?

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

Is the 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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