Accessibility Debt Tracking logo

Accessibility Debt Tracking

Community
Owl-Listener
accessibility-debt-tracking

Track and manage accessibility debt — known accessibility issues that have been deferred. Use when managing a backlog of accessibility issues, planning remediation, or when accessibility problems are accumulating faster than they're being fixed. Triggers on: accessibility debt, tech debt, known issues, backlog, deferred, we'll fix it later, remediation, accessibility backlog, accumulating issues, regression.

Overview

PublisherOwl-Listener
Repositoryinclusive-design-skills
Skill nameaccessibility-debt-tracking
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 Accessibility Debt Tracking 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/accessibility-debt-tracking
  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/accessibility-debt-tracking .claude/skills/accessibility-debt-tracking
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Accessibility Debt Tracking 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 Accessibility Debt Tracking 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 Accessibility Debt Tracking 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.

Accessibility Debt Tracking

Track accessibility debt the way you'd track technical debt — as a known liability with a cost that compounds over time.

What Is Accessibility Debt

Accessibility debt is every known accessibility issue that exists in your product but hasn't been fixed. It includes:

  • Issues found in audits that were deprioritised
  • Tradeoffs where accessibility was deferred
  • New features shipped without full accessibility
  • Regressions introduced by updates or redesigns
  • Known gaps in assistive technology support

Why It Compounds

Unlike a feature request that just waits, accessibility debt grows:

  • Each new feature built on top of an inaccessible foundation inherits the inaccessibility
  • Users with disabilities develop workarounds that break when you eventually fix things differently than they expect
  • Legal exposure increases with time and awareness
  • The longer an issue persists, the more expensive it becomes to fix (code has grown around it)
  • Team knowledge of why the issue exists fades

Debt Record Format

For each known accessibility issue, track:

Issue: clear description of the accessibility barrier Severity: critical (blocks task) / major (significant difficulty) / minor (friction) Who's affected: specific user groups Where: page, component, or flow WCAG criteria: which success criteria it violates Discovered: date and how (audit, user report, testing) Deferred because: the reason it wasn't fixed immediately Workaround: any temporary alternative for affected users Estimated fix effort: small / medium / large Remediation deadline: when it must be fixed Owner: who is responsible for the fix

Managing the Debt

Triage Rules

  • Critical (blocks task): fix in current sprint, no exceptions
  • Major (significant difficulty): fix within 30 days
  • Minor (friction): fix within 90 days
  • Any issue older than its deadline gets escalated

Preventing New Debt

  • Accessibility acceptance criteria on every story
  • Accessibility check before merge (automated + manual)
  • Regression testing for previously fixed issues
  • New features cannot ship with critical accessibility debt

Paying Down Debt

  • Allocate a percentage of each sprint to debt reduction (10–20% is common)
  • Fix debt when you're already touching the component
  • Prioritise by: severity × number of users affected
  • Celebrate debt reduction — make it visible

Tracking Regressions

  • When a previously fixed issue reappears, it's a regression
  • Regressions should be treated as critical by default
  • Add automated tests for every fix to prevent recurrence
  • Track regression rate as a quality metric

Assessment Questions

  1. Is there a documented list of known accessibility issues?
  2. Does each issue have a severity, owner, and deadline?
  3. Is accessibility debt being paid down each sprint?
  4. Are regressions caught and treated as critical?
  5. Is the debt trend improving or worsening over time?

Frequently asked questions

What does the Accessibility Debt Tracking AI skill do?

Track and manage accessibility debt — known accessibility issues that have been deferred. Use when managing a backlog of accessibility issues, planning remediation, or when accessibility problems are accumulating faster than they're being fixed. Triggers on: accessibility debt, tech debt, known issues, backlog, deferred, we'll fix it later, remediation, accessibility backlog, accumulating issues, regression.

Why use Accessibility Debt Tracking on TypingMind?

Because you install it once and use it with any model. Accessibility Debt Tracking 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 Accessibility Debt Tracking 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/accessibility-debt-tracking. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Accessibility Debt Tracking?

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 Accessibility Debt Tracking?

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

Is the Accessibility Debt Tracking 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇