# Mimiq

> Use this tool when you need to test and optimize digital experiences, such as web pages and user flows, to identify issues like bad copy, confusing UX, and conversion blockers. Mimiq simulates user interactions to provide actionable insights, helping you refine and improve your designs before launch. It takes in design inputs, such as page layouts and copy, and outputs data on usability and conversion issues.

Canonical page: https://skillsregistry.net/skills/mimiqai-mimiq  
JSON: https://api.skillsregistry.net/v1/skills/mimiqai-mimiq

## Description

Your AI coding agent tests pages, copy, and flows on simulated users while building. Spots bad copy, confusing UX, and conversion killers before real users do.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/mimiqai/mimiq)

## 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": "mimiqai-mimiq"
    }
  }
}
```

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