# Inkwell

> Use this tool when you need to streamline your newsletter creation process, from source collection to article drafting, and manage your editorial workflow efficiently. Inkwell solves problems related to content organization, tracking, and drafting, providing a comprehensive solution for newsletter creators. It takes in sources, notes, and templates as inputs and outputs drafted articles with customizable voices, making it ideal for use when creating and publishing regular newsletters.

Canonical page: https://skillsregistry.net/skills/ludobos-inkwell  
JSON: https://api.skillsregistry.net/v1/skills/ludobos-inkwell

## Description

Provides a comprehensive editorial workflow for newsletter creators, covering source collection and organization, expert tracking, auto-tagging, editorial note-taking, and article drafting with customizable voice templates. Supports importing existing newsletters from Substack, Beehiiv, Ghost, and Kit, with engagement statistics tracking. Uses SQLite for zero-config local storage and includes a Chrome extension for web clipping.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ludobos-inkwell)
- **Repository:** <https://github.com/ludobos/inkwell-mcp>

## 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": "ludobos-inkwell"
    }
  }
}
```

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