talking-head-guide

Edit speech-led video footage into coherent final cuts from transcripts.

751|69|Updated Jun 25, 2026
One-click install
npx skills add https://github.com/ChatCut-Inc/agent-plugin --skill talking-head-guide
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: talking-head-guide
Source: https://github.com/ChatCut-Inc/agent-plugin/tree/main/claude/skills/talking-head-guide
Command: npx skills add https://github.com/ChatCut-Inc/agent-plugin --skill talking-head-guide

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps turn raw talking-head, interview, podcast, lecture, tutorial, and course footage into clear, natural, engaging speech-led videos without damaging meaning, rhythm, or continuity.

Core Features & Use Cases

  • A-roll Editing: Clean fillers, false starts, repeated takes, long pauses, highlights, hooks, excerpts, and target-script edits directly from the transcript.
  • Speech-Aware Post-Production: Coordinate final speech timing with Motion Graphics, B-roll, background music, captions, and AI Voice Isolation while protecting the speaker and caption readability.
  • Quality and Safety Checks: Preserve complete semantic units, avoid artificial sentence stitching, validate transcript changes, smooth hard audio cuts, and verify the final timeline before delivery.
  • Use Case: For a long interview, remove verbal clutter and retakes, create a concise highlight version, then prepare the finalized speech timing for captions and visual overlays.

Quick Start

Use the talking-head-guide skill to clean up the attached interview by removing meaningless fillers and long pauses while preserving complete ideas and natural breathing room.

Frequently Asked Questions about talking-head-guide

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

FAQPage Schema
How do I edit talking head video footage to remove fillers and long pauses?

Transcript-driven timeline editing cleans fillers, false starts, and long pauses directly from the spoken text, preserving complete semantic units and natural breathing room for a coherent talking head final cut.

Can I extract highlights from a long video podcast using transcript editing?

Transcript editing extracts highlights from long video podcasts by restructuring spoken content into concise versions, removing verbal clutter and retakes while maintaining original meaning and delivery quality.

Does speech-aware video editing coordinate captions and motion graphics with spoken content?

Speech-aware editing coordinates final speech timing with captions, motion graphics, B-roll, and background music, protecting speaker readability and ensuring visual overlays align naturally with the audio track.

What is the best way to smooth hard audio cuts when editing interview footage?

Dependency-aware sequencing and audio smoothing during transcript-driven editing validate transcript changes and smooth hard audio cuts in interview footage, preventing artificial sentence stitching.

Are there limitations when using AI voice isolation with talking head video cleanup?

AI voice isolation limitations in talking head cleanup require protecting speaker readability and caption accuracy, necessitating user checkpoints for major treatments and final timeline verification before delivery.