Pixel Check

Community

yongmmin

pixel-check

Compare implemented UI against Figma and report only meaningful deviations

Overview

Publisher	yongmmin
Repository	`front-agent`
Skill name	`pixel-check`
Stars	3
Forks	0
Bundled files	Instructions only
Links	Skill source Repository

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 yongmmin on GitHub. Read the source before you install it.

Installation

Install the Pixel Check AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/yongmmin/front-agent/tree/main/skills/pixel-check
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.

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/yongmmin/front-agent.git /tmp/front-agent
mkdir -p .claude/skills
cp -r /tmp/front-agent/skills/pixel-check .claude/skills/pixel-check

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pixel Check 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 Pixel Check 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 Pixel Check 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.

Skill: pixel-check

Trigger: /pixel-check [figma-url] or auto-called after ui-builder Purpose: Flag only deviations large enough to matter before review.

Check Criteria

Category	What to check	Blocker threshold
Spacing	Gap, padding, margin match 4px grid	>4px off
Typography	Font size, weight, line-height, letter-spacing	Any deviation
Color	Design token used — not raw hex or hardcoded rgba	Any raw value
Component	Mapped codebase component used — not custom re-implementation	Re-implementation present
States	Hover, focus, disabled, loading, error states rendered	Any interactive state missing
Responsive	Breakpoint behavior matches Figma variants	Layout breaks at defined breakpoint

Workflow

text
1. Fetch Figma screenshot via get_design_context
2. Compare implementation against check criteria above
3. Report only blocker-level or meaningful major deviations

Output Format

markdown
## Pixel Check Results

### Blockers
- [element]: [expected] vs [actual]

### Notes
- [non-blocking major deviation]

Overall: PASS | NEEDS REVISION

Rules:

Omit empty sections
Ignore minor browser rendering differences

Frequently asked questions

What does the Pixel Check AI skill do?

Compare implemented UI against Figma and report only meaningful deviations

Why use Pixel Check on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yongmmin/front-agent/tree/main/skills/pixel-check. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pixel Check?

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 Pixel Check?

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

Is the Pixel Check AI skill free?

It is published on GitHub by yongmmin. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Skill: pixel-check

Check Criteria

Workflow

Output Format

Frequently asked questions

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