# test

> Use this tool when you need to analyze product requirements, identify primary users, and determine key tasks to receive a concise name and summary. It enables tasks such as product purpose definition, primary user identification, and top task determination, providing a unique value of streamlined product description. Ideal for product managers and developers, it integrates with various data sources to provide a professional and informative output.

Canonical page: https://skillsregistry.net/skills/hubertroy-test  
JSON: https://api.skillsregistry.net/v1/skills/hubertroy-test

## Description

Provide the product’s purpose, primary users, and the top three tasks it enables to receive a concise name and summary. List any key integrations, data sources, and unique value. Share tone or branding preferences (e.g., playful, professional) to shape the wording.

## 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:** productivity
- **Updated:** 2026-05-11

## Source

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

## 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": "hubertroy-test"
    }
  }
}
```

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