# nova-act-usability

> nova-act-usability — zouchaoqun-nova-act-usability. Use this tool when you need to conduct AI-orchestrated usability testing to identify user experience issues and improve product design. It solves problems related to user interface and user experience by providing automated testing and feedback. The tool takes in product designs and user interactions as inputs and outputs actionable insights and recommendations for improvement.

Canonical page: https://skillsregistry.net/skills/zouchaoqun-nova-act-usability  
JSON: https://api.skillsregistry.net/v1/skills/zouchaoqun-nova-act-usability

## Description

AI-orchestrated usability testing using Amazon Nova Act.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/zouchaoqun-nova-act-usability)

## 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": "zouchaoqun-nova-act-usability"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zouchaoqun-nova-act-usability` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zouchaoqun-nova-act-usability/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