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.