Automating Viral Short-Form Video Production with Claude Code

The Automated Content Pipeline

The author demonstrates a workflow that uses Claude Code to orchestrate a full content creation loop. By leveraging Claude's ability to run deep research agents and the HeyGen MCP (Model Context Protocol) connector, the system automates the transition from topic discovery to rendered video output.

Implementation Steps

• Research and Strategy: Use Claude Code to perform deep research on viral short-form video mechanics. The author used 33 agents to analyze 26 sources, identifying that successful content prioritizes "savable" or "sharable" value over generic volume.
• Connector Setup: Configure the HeyGen MCP connector by adding the official HeyGen MCP URL to the Claude Code connector management settings. This grants Claude permission to trigger avatar generation and voice synthesis directly from the terminal.
• Skill Creation: Define a reusable "skill" (a set of instructions) that instructs Claude to:
  1. Scrape niche-specific topics.
  2. Draft a script using a proven hook-and-format template.
  3. Send the script, Avatar ID, and Voice ID to the HeyGen API.
  4. Request a 9:16 aspect ratio video with burned-in captions and a 1.1x speed multiplier for increased energy.
• Personalization: To avoid generic "AI slop," the author recommends feeding Claude specific brand voice guidelines, personal philosophies, and a "hook swipe file" of previously successful content to ensure the AI output aligns with a specific creator's perspective.

Context

The author aims to solve the time-intensive nature of producing "yap-style" short-form videos. By building this pipeline, the goal is to shift the creator's role from manual filming and editing to high-level strategy and script refinement, using AI as leverage to amplify a unique voice rather than replacing it.