# fractal-thesis

> Use this tool when you need to manage and track changes in your fractal thesis project, leveraging git capabilities to version control and collaborate on complex mathematical models and theories. It solves problems related to data consistency, collaboration, and versioning, providing a robust interface for inputs such as mathematical equations and outputs like visualized fractal patterns. Ideal for use in academic and research contexts where iterative development and transparency are crucial.

Canonical page: https://skillsregistry.net/skills/lorenzocean-fractal-thesis  
JSON: https://api.skillsregistry.net/v1/skills/lorenzocean-fractal-thesis

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/lorenzocean/fractal-thesis)

## 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": "lorenzocean-fractal-thesis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lorenzocean-fractal-thesis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lorenzocean-fractal-thesis/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