find-broll

Source and place accurate b-roll cutaways against spoken beats in talking-head videos.

82|12|Updated Jun 8, 2026
One-click install
npx skills add https://github.com/louisedesadeleer/b-roll-finder --skill find-broll
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: find-broll
Source: https://github.com/louisedesadeleer/b-roll-finder/tree/main
Command: npx skills add https://github.com/louisedesadeleer/b-roll-finder --skill find-broll

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ffmpeg, ffprobe, pillow, websockets, google chrome, and includes scripts (resource) components.

What problem does it solve?

This Skill removes the guesswork from sourcing b-roll for talking-head videos by connecting each spoken beat to accurate, relevant, and on-brand visual footage.

Core Features & Use Cases

  • Transcript Interpretation: Understands the video's thesis and identifies what each line is actually about before sourcing visuals.
  • Scoped B-Roll Sourcing: Routes moments to authoritative entities, receipts, product footage, concept graphics, screenshots, or user-provided meme libraries.
  • Precise Editing Workflow: Scores candidates, strips audio, formats clips full-bleed, anchors cutaways just after the relevant spoken word, maintains a b-roll manifest, and verifies rendered frames.
  • Use Case: For a podcast introduction naming a guest and company, source a contextually relevant guest clip, product footage, and supporting receipts instead of generic keyword-matched stock.

Quick Start

Use the find-broll skill with a transcript or video file to propose an annotated b-roll plan, source approved candidates, and place the selected cutaways on the exact spoken words.

Frequently Asked Questions about find-broll

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

FAQPage Schema
How do I automatically source b-roll for talking-head videos based on the transcript?

To source b-roll for talking-head videos, this Skill analyzes word-level transcripts to understand context, scores relevant visual candidates, and anchors cutaways precisely on the spoken beats. It routes searches to authoritative entities, receipts, and product footage.

Can I use a podcast video file to automatically place b-roll cutaways on specific spoken words?

Yes, you can place b-roll cutaways using podcast video files or transcripts. The Skill processes word-level transcriptions to identify thesis points, sources matching footage, and renders full-bleed cutaways anchored just after the relevant spoken word.

Does automated b-roll placement require word-level transcription to function?

Automated b-roll placement requires word-level transcription to achieve precise timing. The Skill relies on this granular transcript data to interpret the video's thesis, identify what each line is about, and anchor cutaways on the exact spoken words.

What is the best way to match b-roll footage to specific topics in an explainer video?

The best way to match b-roll footage in explainers is scoped media sourcing. The Skill interprets the transcript, routes moments to authoritative entities or concept graphics, scores candidates, strips audio, and validates the rendered frames.

What dependencies do I need to render and validate b-roll cutaways locally?

To render and validate b-roll cutaways locally, you need ffmpeg, ffprobe, Pillow, websockets, and Google Chrome. These dependencies support silent full-bleed rendering, precise timing, and visual render validation.

Why does my b-roll footage not match the spoken context of my interview intro?

B-roll footage often mismatches context when relying on generic keyword-matched stock. This Skill prevents this by understanding the video's thesis, interpreting each line, and sourcing contextually relevant guest clips, product footage, and supporting receipts.