claude

Content

A modular content engine, one skill per job: /research a topic, turn it into a /linkedin post and a /newsletter in Ben's voice, then generate on-brand /visual graphics to match.

84 on GitHubby BenAIv1.0.3MITupdated 1 month ago
/

Plugin content from marketplace benai-skills in naveedharri/benai-skills. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (4)

  • linkedin

    Repurpose research, YouTube videos, blog articles, guides, or raw insights into high-performing LinkedIn posts that match Ben's exact tone of voice and writing style. STEP-BY-STEP and interactive: never output a complete post immediately, and at each step give suggestions, wait for the user's decisi

  • newsletter

    Iterative newsletter writing workflow for Ben Van Sprundel's audience. Use when Ben wants to write a newsletter from research, an insight, an idea, or a YouTube video transcript. This is a CREATIVE, STEP-BY-STEP process. Never output a complete newsletter immediately. Each step requires suggestions,

  • research

    Run deep, internet-enabled research on any topic to gather the raw material for content. First step of the content pipeline that feeds /linkedin and /newsletter. Automates prompt enhancement through clarifying questions, saves parameters for reproducibility, and executes web-enabled deep research vi

  • visual

    Generate on-brand visuals and infographics for LinkedIn posts and newsletters using Nano Banana MCP (Gemini AI image generation). Final step of the content pipeline. Follows a guided flow: analyze the content, suggest visualizable concepts, propose visualization approaches, then generate on-brand vi

MCP servers (2)

  • nano-banana

    runs: npx -y @zhibinyang/nano-banana-mcp

  • apify

    connects to: https://mcp.apify.com

View source on GitHub

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