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Verify Ui Visually

Community
adamentwistle
verify-ui-visually

Verify UI changes by rendering and looking — screenshot, browser, or running app — never by reading the markup and imagining it. Use after any change to components, styles, CSS, layouts, templates, charts, emails, PDFs, or generated documents/images, and when a user says "it looks wrong", "check the page", or asks for a visual fix. Not for pure logic changes with no rendered output.

Overview

Publisheradamentwistle
Repositoryfable-skills
Skill nameverify-ui-visually
Stars
98
Forks
11
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 adamentwistle on GitHub. Read the source before you install it.

Installation

Install the Verify Ui Visually 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/adamentwistle/fable-skills/tree/main/verify-ui-visually
  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/adamentwistle/fable-skills.git /tmp/fable-skills
mkdir -p .claude/skills
cp -r /tmp/fable-skills/verify-ui-visually .claude/skills/verify-ui-visually
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Verify Ui Visually 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 Verify Ui Visually 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 Verify Ui Visually 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.

verify-ui-visually

Weak UI verification looks like: edit the markup, run the type-check, imagine the result, report "done". Strong verification puts pixels in front of your eyes and reports what they show. Code that compiles tells you nothing about what the user sees.

  1. Capture a baseline first. Before editing, screenshot the affected screen (or its unchanged sibling) at the viewport you will test. Without a before, you cannot tell a regression you introduced from a quirk that was already there.
  2. Render it and look at it. Run the dev server and take a screenshot (browser tooling, mcp__chrome-devtools__take_screenshot, or the project's snapshot setup); open the generated PDF/image/email HTML in a real viewer. Reading the diff is not seeing the output.
  3. Confirm you are looking at your change. Find a string or selector from your diff in the rendered DOM or page text before judging pixels. An unchanged screenshot means a stale build, cached page, or wrong route until proven otherwise — fix that before concluding the change is a no-op.
  4. Look at the actual pixels critically: overflow and truncation, misalignment, spacing collapse, z-index sandwiches, contrast, loading and empty states — the bugs no test asserts and every user notices instantly.
  5. Check the states, not just the happy render: empty (zero items), loaded (typical), overloaded (long strings, many items — "WWWWWWWW" and a 200-char title), error, and loading. Most layout breaks live in empty and overloaded.
  6. Check both themes and at least two widths when the project supports them: light/dark, mobile/desktop breakpoint. A change verified only in dark-mode desktop ships broken for half the users.
  7. Interact, don't just render: click the button you changed, submit the form, tab through for focus order. Console errors during the interaction count as failures even when the screen looks fine.
  8. When you can't render (no display, missing env), say so explicitly and downgrade the claim: "markup changed as requested; not visually verified — needs a look at /settings in the browser."

Report format: name the screenshot files, the viewport(s) and theme(s) checked, and describe in words what you saw ("badge now sits on the baseline; long titles truncate with an ellipsis at 320px"). "Screenshot taken, looks good" is not a verification — it is the claim you were supposed to check.

Rule: a UI change reported as done carries either a screenshot-verified description or a stated inability to verify. Never the silent middle.

Frequently asked questions

What does the Verify Ui Visually AI skill do?

Verify UI changes by rendering and looking — screenshot, browser, or running app — never by reading the markup and imagining it. Use after any change to components, styles, CSS, layouts, templates, charts, emails, PDFs, or generated documents/images, and when a user says "it looks wrong", "check the page", or asks for a visual fix. Not for pure logic changes with no rendered output.

Why use Verify Ui Visually on TypingMind?

Because you install it once and use it with any model. Verify Ui Visually 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 Verify Ui Visually in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/adamentwistle/fable-skills/tree/main/verify-ui-visually. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Verify Ui Visually?

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 Verify Ui Visually?

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

Is the Verify Ui Visually AI skill free?

Yes. It is published on GitHub by adamentwistle 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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