# couplet

> couplet — malinborn-couplet. Use this tool when you need to create and edit Markdown files with AI assistance, and utilize features like live preview and commenting capabilities to streamline your workflow. It solves problems such as inefficient editing and collaboration by providing a seamless interface for humans and AI agents to work together. Ideal for use cases involving content creation, documentation, and version control with git integration.

Canonical page: https://skillsregistry.net/skills/malinborn-couplet  
JSON: https://api.skillsregistry.net/v1/skills/malinborn-couplet

## Description

Markdown editor for macOS that your AI agent can drive — live preview, MCP server, comments your agent answers in the file

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** GPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/malinborn/couplet)

## 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": "malinborn-couplet"
    }
  }
}
```

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