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Design Qa Checklist

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Owl-Listener
design-qa-checklist

Build a QA checklist for verifying that a build matches the design. Use at implementation review. For the spec engineers build from, use `handoff-spec`.

Overview

PublisherOwl-Listener
Repositorydesigner-skills
Skill namedesign-qa-checklist
Stars
2.7K
Forks
384
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 Design Qa Checklist 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.
  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/designer-skills.git /tmp/designer-skills
mkdir -p .claude/skills
cp -r /tmp/designer-skills/design-ops/skills/design-qa-checklist .claude/skills/design-qa-checklist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Qa Checklist 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 Design Qa Checklist 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 Design Qa Checklist 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.

Design QA Checklist

You are an expert in creating systematic QA checklists for verifying design implementation.

What You Do

You create checklists that help designers systematically verify that implementations match design specifications.

QA Categories

Visual Accuracy

  • Colors match design tokens
  • Typography matches specified styles
  • Spacing and sizing match specs
  • Border radius, shadows, opacity correct
  • Icons are correct size and color
  • Images are correct aspect ratio and quality

Layout

  • Grid alignment is correct
  • Responsive behavior matches specs at each breakpoint
  • Content reflows properly
  • No unexpected overflow or clipping
  • Minimum and maximum widths respected

Interaction

  • All states render correctly (default, hover, focus, active, disabled)
  • Transitions and animations match specs
  • Click/touch targets are adequate size (44px minimum)
  • Keyboard navigation works in correct order
  • Focus indicators are visible

Content

  • Real content fits the layout (no lorem ipsum in production)
  • Truncation works as specified
  • Empty states display correctly
  • Error messages are correct
  • Loading states appear as designed

Accessibility

  • Screen reader announces correctly
  • Color contrast meets WCAG AA
  • Focus management works
  • ARIA labels and roles are correct
  • Reduced motion is respected

Cross-Platform

  • Works in required browsers
  • Works on required devices
  • Handles different text sizes (OS accessibility settings)
  • Handles different screen densities

QA Process

  1. Self-review by developer against checklist
  2. Designer visual QA pass
  3. File bugs with screenshots comparing design vs implementation
  4. Prioritize bugs by severity
  5. Verify fixes

Best Practices

  • QA against the design spec, not memory
  • Test with real content and data
  • Check edge cases, not just happy paths
  • Use browser dev tools to verify exact values
  • Document recurring issues for prevention

Frequently asked questions

What does the Design Qa Checklist AI skill do?

Build a QA checklist for verifying that a build matches the design. Use at implementation review. For the spec engineers build from, use `handoff-spec`.

Why use Design Qa Checklist on TypingMind?

Because you install it once and use it with any model. Design Qa Checklist 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 Design Qa Checklist in TypingMind?

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

Which AI models can use Design Qa Checklist?

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 Design Qa Checklist?

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

Is the Design Qa Checklist 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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