# good-eye

> good-eye — glebstarchikov-good-eye. Use this tool when you need to discover and organize design inspiration from great sites and apps, or when seeking specific color palettes and reviews to inform your design decisions. The good-eye tool allows you to search and access a database of screenshots, palettes, and AI-written reviews via Claude and MCP. It is ideal for designers and developers looking for inspiration and reference materials, with capabilities to integrate with git for version control.

Canonical page: https://skillsregistry.net/skills/glebstarchikov-good-eye  
JSON: https://api.skillsregistry.net/v1/skills/glebstarchikov-good-eye

## Description

Personal design-inspiration database — screenshots, palettes, and AI-written reviews of great sites/apps, searchable by Claude via MCP

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/glebstarchikov/good-eye)

## 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": "glebstarchikov-good-eye"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/glebstarchikov-good-eye` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/glebstarchikov-good-eye/pull`

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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