# imugi

> Use this tool when you need to automate frontend code patching and achieve pixel-perfect fidelity. It captures and compares code against reference designs, solving manual CSS tweaking problems and ensuring consistent visual output. Ideal for use cases where precision and efficiency in frontend development are crucial, imugi streamlines the design-to-code process with automated input of reference designs and output of patched frontend code.

Canonical page: https://skillsregistry.net/skills/m00n7682-imugi  
JSON: https://api.skillsregistry.net/v1/skills/m00n7682-imugi

## Description

Enables AI to capture, compare, and automatically patch frontend code against reference designs, achieving pixel-perfect fidelity without manual CSS tweaking.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/shvqaa4gsz)
- **Repository:** <https://github.com/M00N7682/imugi>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "m00n7682-imugi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m00n7682-imugi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m00n7682-imugi/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt