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Scrollclaw Broll

Community
TheMattBerman
scrollclaw-broll

Generate B-roll environment and product shots with Kling 3 via fal.ai. Environment matching, cut timing, and visual-only clips that play under continuous voice.

Overview

PublisherTheMattBerman
Repositoryscrollclaw
Skill namescrollclaw-broll
Stars
72
Forks
18
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by TheMattBerman on GitHub. Read the source before you install it.

Installation

Install the Scrollclaw Broll AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/TheMattBerman/scrollclaw/tree/main/b-roll
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TheMattBerman/scrollclaw.git /tmp/scrollclaw
mkdir -p .claude/skills
cp -r /tmp/scrollclaw/b-roll .claude/skills/scrollclaw-broll
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scrollclaw Broll in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Scrollclaw Broll on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Scrollclaw Broll is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

B-Roll (Kling 3)

Kling 3 generates B-roll — environment shots, product close-ups, lifestyle moments. These are visual-only clips that play under the continuous voice track. Voice never cuts. B-roll swaps visuals only.

Prerequisites

  • Script with [B-ROLL] segments tagged (from /persona)
  • A-roll clips generated (from /animate) — needed for environment matching

Environment Matching

Extract a frame from the A-roll and use it as Kling's start image. This ensures B-roll looks like the same room — same floor, same lighting, same vibe. See references/orchestrator.md.

Generate context-specific first frames per scene. Don't use the podcast frame (headphones) for gym B-roll.

Cut Timing

Cut from A-roll to B-roll at a script BEAT point — not mid-sentence. The viewer should see the face deliver the setup, then cut to B-roll for the payoff visual.

Example: If Sarah says "she finishes the whole bowl" → cut to dog finishing the bowl. Match the visual to the words. Leave 0.5-1s buffer before the cut so the face isn't visible in a non-talking state.

Generation

USE scripts/generate-broll.sh — do NOT construct Kling API calls manually.

bash
# B-roll with environment-matched start frame (RECOMMENDED)
bash scripts/generate-broll.sh \
  --provider fal \
  --image workspace/campaigns/<slug>/frames/environment-frame.png \
  --prompt-file workspace/campaigns/<slug>/broll-prompt.txt \
  --output workspace/campaigns/<slug>/clips/b-roll-01.mp4 \
  --log-file workspace/campaigns/<slug>/output-log.md \
  --label b-roll-01 \
  --seconds 5

# Faceless B-roll (no start frame needed)
bash scripts/generate-broll.sh \
  --provider fal \
  --prompt-file workspace/campaigns/<slug>/broll-prompt.txt \
  --output workspace/campaigns/<slug>/clips/b-roll-02.mp4 \
  --log-file workspace/campaigns/<slug>/output-log.md \
  --label b-roll-02 \
  --seconds 5

API Reference

Read references/kling-api.md for Kling 3 endpoint details, field names, and queue workflow on fal.ai.

Key Findings

  • Kling generates in ~100s vs Sora's 5-10 min. Use Kling for ALL B-roll.
  • Same character face image feeds both engines for identity consistency
  • AI cannot generate realistic app screens or UI text. For product/app demos: use real screenshots or screen recordings.
  • The orchestrator doc (references/orchestrator.md) has the full A/B-roll split methodology

Brand Memory Integration

Reads

FilePurpose
workspace/campaigns/<slug>/frames/environment-frame.pngEnvironment-matched start frame for Kling i2v
workspace/campaigns/<slug>/clips/a-roll-*.mp4Source clips to extract environment frames from
workspace/campaigns/<slug>/scripts/<format>-script.mdB-roll segments and visual cues

Writes

FileNotes
workspace/campaigns/<slug>/clips/b-roll-01.mp4One file per B-roll segment
workspace/campaigns/<slug>/output-log.mdKling prompt, duration, provider (append-only)

Context loading

🎞️ B-Roll context loaded:
  ✓ Environment frame: workspace/campaigns/ridge-q1/frames/environment-frame.png
  ✓ A-roll clips: 3 found (workspace/campaigns/ridge-q1/clips/)
  ✓ Script: talking-head (B-roll segments: 2)
  ✓ Campaign: ridge-q1

Contract

Input

  • Required: [B-ROLL] script segments plus either an environment frame or usable A-roll clips for extraction
  • Optional: product screenshots, faceless B-roll prompts, campaign brief for scene grounding
  • Format: workspace image/video files plus B-roll prompt text
  • Source: /animate, /persona, and references/orchestrator.md

Output

  • Produces: one visual-only B-roll clip per segment plus append-only generation logs
  • Format: MP4 files in workspace/campaigns/<slug>/clips/ and rows in output-log.md
  • Default behavior: use Kling with an environment-matched start frame; for app demos, use real screenshots or recordings instead of AI UI generation
  • Downstream use: /assemble

Validation

  • Pre-conditions: the cut point is clear in the script and there is enough scene context to match the A-roll environment
  • Post-conditions: clip visually fits the voice beat, feels like the same world as the A-roll, and saves locally
  • Failure checks: do not accept stock-looking B-roll, mismatched rooms, or fake app UI when the product needs a real screen

Output

  • B-roll clips (MP4) in workspace/campaigns/<slug>/clips/
  • Each clip named b-roll-<segment>.mp4 corresponding to a [B-ROLL] script segment
  • Clips are visual-only — no dialogue
  • Generation params logged to workspace/campaigns/<slug>/output-log.md

Next Step

B-roll done → run /assemble to stitch everything together with unified audio.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Scrollclaw Broll AI skill do?

Generate B-roll environment and product shots with Kling 3 via fal.ai. Environment matching, cut timing, and visual-only clips that play under continuous voice.

Why use Scrollclaw Broll on TypingMind?

Because you install it once and use it with any model. Scrollclaw Broll is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Scrollclaw Broll in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TheMattBerman/scrollclaw/tree/main/b-roll. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Scrollclaw Broll?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Scrollclaw Broll?

As many as you like. As long as a model supports skills, you can use Scrollclaw Broll with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Scrollclaw Broll AI skill free?

Yes. It is published on GitHub by TheMattBerman under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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