# arezzo

> arezzo — convergentmethods-arezzo. Use this tool when you need to compile Google Docs API operations deterministically, solving issues with version control and collaboration by providing a reliable output for given inputs, and integrating with git for seamless workflow management. It takes Google Docs API operations as input and produces compiled outputs, enabling efficient and reproducible document processing. Ideal for use cases requiring consistent and auditable document generation.

Canonical page: https://skillsregistry.net/skills/convergentmethods-arezzo  
JSON: https://api.skillsregistry.net/v1/skills/convergentmethods-arezzo

## Description

Deterministic compiler for Google Docs API operations

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ConvergentMethods/arezzo)

## 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": "convergentmethods-arezzo"
    }
  }
}
```

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