# designr

> Use this tool when you need to design and verify Phase 3 clinical trials, as it provides 13 MCP tools, Monte Carlo verification, and markdown reporting capabilities. It solves problems related to clinical trial design, simulation, and validation, and accepts inputs such as trial parameters and benchmark cases. It is ideal for use in pharmaceutical and medical research contexts where robust trial design and verification are crucial.

Canonical page: https://skillsregistry.net/skills/wei-ai-lab-designr  
JSON: https://api.skillsregistry.net/v1/skills/wei-ai-lab-designr

## Description

Claude Code plugin for Phase 3 clinical trial design. 13 MCP tools (gsDesign / gsDesign2), Monte Carlo verification, markdown reporting, 176-case benchmark corpus.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/wei-ai-lab/designr)

## 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": "wei-ai-lab-designr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wei-ai-lab-designr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wei-ai-lab-designr/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