# wheeler

> wheeler — maxwellsdm1867-wheeler. Use this tool when you need to transform Claude Code into a dynamic scientific environment, solving problems of static code representation and limited collaboration. It takes in Claude Code and outputs an interactive workspace with integrated workflow, file system, and knowledge graph, streamlining scientific research and development. Ideal for use cases requiring collaborative code development, version control via git, and knowledge management.

Canonical page: https://skillsregistry.net/skills/maxwellsdm1867-wheeler  
JSON: https://api.skillsregistry.net/v1/skills/maxwellsdm1867-wheeler

## Description

Turn Claude Code into an interactive scientific workspace: workflow, file system, and knowledge graph.

## 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:** file-system
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/maxwellsdm1867/wheeler)

## 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": "maxwellsdm1867-wheeler"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maxwellsdm1867-wheeler` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maxwellsdm1867-wheeler/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