visualizevalue

Vvriter — AI skill for Claude Code

AI community

VV knowledge layer for AI agents — MCP server exposing Visualize Value frameworks, voice, and content.

How to install Vvriter

This entry records only its repository, not the path inside it, so there is no exact command to give. Open visualizevalue/vvriter and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Vvriter does

VV knowledge layer for AI agents — MCP server exposing Visualize Value frameworks, voice, and content.

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README

vvriter

MCP server that generates articles from 50,000 tweets and 400 visual artworks. One command. Three article concepts. Pick a number.

Why

AI is writing articles about our ideas whether we participate or not. So we built the source material — 50,000 tweets, 400 visuals, and an exact [writing profile](https://github.com/visualizevalue/jackbutcher.md) — into a tool anyone can plug into their AI agent.

Install

npx vvriter

Claude Code

claude mcp add vvriter -- npx vvriter

Claude Desktop / Cursor / Windsurf

Add to your MCP config:

{
  "mcpServers": {
    "vvriter": {
      "command": "npx",
      "args": ["vvriter"]
    }
  }
}

How it works

Call vvriter with no arguments
Pick from 3 article concepts
Article saves to ~/vvriter/ and opens in your browser

The tool loads a randomized sample of tweets and visuals. The AI finds idea clusters. Every call shuffles — you never get the same suggestions twice.

How it was built

Full technical breakdown: [How to Build an MCP Server for AI-Powered Content Generation](https://visualizevalue.com/workflows/how-vvriter-works)

jackbutcher.md — the writing profile that powers the voice
How the writing profile was made

About Visualize Value

Art, courses, and tools by [Jack Butcher](https://visualizevalue.com/about/jack-butcher). 5 courses, 168 lessons, 55,000+ students, 607 five-star reviews.