# hypolab

> Use this tool when you need to streamline your product validation cycle, from hypothesis to outreach, with a single command that automates research, filtering, deployment, and outreach, citing published frameworks for credibility. It takes in a hypothesis as input and outputs a validated product with a deployed landing page and outreach strategy. Ideal for developers and entrepreneurs looking to quickly test and validate product ideas using a data-driven approach.

Canonical page: https://skillsregistry.net/skills/ata-ux-hypolab  
JSON: https://api.skillsregistry.net/v1/skills/ata-ux-hypolab

## Description

Hypothesis Lab for Claude Code — one command runs the full product validation cycle: hypothesis → research → synthetic filter → deployed landing → outreach. Every step cites a published framework.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-04-22

## Source

- **Source listing:** [GitHub](https://github.com/Ata-ux/hypolab)

## 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": "ata-ux-hypolab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ata-ux-hypolab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ata-ux-hypolab/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