ai-talking-heads

Chunk scripts into 55-60 syllable segments and generate prompts for 9:16 talking-head videos.

1|Updated Jan 19, 2026
One-click install
npx skills add https://github.com/k7lim/skillmonger --skill ai-talking-heads
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-talking-heads
Source: https://github.com/k7lim/skillmonger/tree/main/skills/ai-talking-heads
Command: npx skills add https://github.com/k7lim/skillmonger --skill ai-talking-heads

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill guides creators to automate the end-to-end production of realistic AI talking-head/UGC videos from a script, reducing manual setup and repetitive work.

Core Features & Use Cases

  • Automated script chunking: Split long scripts into 55-60 syllable chunks to align with ~10-second video clips.
  • Character image and video prompts: Generate a consistent base character prompt and per-chunk prompts for Kling/Veo/Remotion workflows.
  • End-to-end workflow: From script to video assembly, including post-production guidance and optional Remotion integration.
  • Use Case: A creator drafts a 2-minute tutorial; the Skill chunks the script, crafts per-chunk prompts, and guides assembly into a vertical 9:16 video.

Quick Start

Follow the steps to initialize and run the ai-talking-heads workflow: run scripts/check-prereqs.sh, draft your script, generate a base character image, produce per-chunk video prompts, and assemble in Remotion or an alternative editor.

Frequently Asked Questions about ai-talking-heads

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate AI talking-head video generation from a script?

To automate AI talking-head video generation, this Skill splits your script into 55-60 syllable chunks, generates per-chunk character video prompts for Kling or Veo, and assembles the clips in Remotion to produce a vertical 9:16 video.

What is syllable chunking and why is it needed for AI talking-head videos?

Syllable chunking splits a script into 55-60 syllable segments to match roughly 10-second video clips. This alignment ensures the AI talking-head lip-sync generation matches the audio pacing for each produced chunk.

Can I assemble AI talking-head video clips in Remotion for vertical 9:16 format?

Yes, you can assemble AI talking-head video clips in Remotion. The Skill provides a Remotion-based assembly workflow that combines generated per-chunk clips into a consistent vertical 9:16 video format.

How do I generate consistent character video prompts for each script chunk?

To generate consistent character video prompts, the Skill creates a base character image prompt first, then derives per-chunk video prompts from it. This ensures your AI talking-head maintains visual consistency across all clips.

Do I need to run any environment checks before generating AI talking-head videos?

Yes, you need to run the prerequisite check script before generating AI talking-head videos. This verifies your environment is properly set up for the script chunking, prompt generation, and Remotion assembly workflow.

What is the best way to turn a long tutorial script into a UGC talking-head video?

The best way to turn a long tutorial script into a UGC talking-head video is to automate chunking it into 55-60 syllable segments, generating per-chunk Kling video prompts, and assembling the output in Remotion.