B-Roll (Kling 3)
Generate B-roll environment and product shots with Kling 3 via fal.ai.
How to use it
Claude Code
- Run the line below. It pulls the whole folder into
~/.claude/skills/b-roll, including the files SKILL.md points to. - Describe your job in plain words. Claude Code follows the skill from there.
npx degit TheMattBerman/scrollclaw/b-roll#main ~/.claude/skills/b-rollFor one project only, change the path to .claude/skills/b-roll. This skill also uses -script.md, output-log.md — copying SKILL.md alone won't be enough. See the folder on GitHub.
Claude (web or desktop app)
- On this page open ⋯ → Download .md.
- Save it as SKILL.md in a folder, zip the folder, then Customize → Skills → + → Create skill → Upload a skill.
- Pick the file and Save. Claude shows the name and description and runs a security scan.
- Check the skill is switched on.
- Start a new chat and describe your job in plain words. The AI follows the skill from there.
ChatGPT or another app
- ChatGPT: make a Project and paste it into Instructions.
- Neither? Paste it at the top of a new chat — it works for that chat.
Not working?
- Check which app you pasted it into — the steps above name the right one.
- Some skills need the paid tier of Claude or ChatGPT.
Paste into Claude, ChatGPT or Cursor.
Source of B-Roll (Kling 3)
Show the full text128 lines
| name | description | metadata |
|---|---|---|
| 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. | openclaw: emoji: "🎞️ user-invocable: true triggers: - "b-roll - "kling video - "environment shot - "product shot - "broll - "b roll |
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.
# 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
| File | Purpose |
|---|---|
workspace/campaigns/<slug>/frames/environment-frame.png |
Environment-matched start frame for Kling i2v |
workspace/campaigns/<slug>/clips/a-roll-*.mp4 |
Source clips to extract environment frames from |
workspace/campaigns/<slug>/scripts/<format>-script.md |
B-roll segments and visual cues |
Writes
| File | Notes |
|---|---|
workspace/campaigns/<slug>/clips/b-roll-01.mp4 |
One file per B-roll segment |
workspace/campaigns/<slug>/output-log.md |
Kling 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, andreferences/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 inoutput-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>.mp4corresponding 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.
| 1 | |
| 2 | name scrollclaw-broll |
| 3 | description "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." |
| 4 | metadata |
| 5 | openclaw |
| 6 | emoji "🎞️" |
| 7 | user-invocable true |
| 8 | triggers |
| 9 | - "b-roll" |
| 10 | - "kling video" |
| 11 | - "environment shot" |
| 12 | - "product shot" |
| 13 | - "broll" |
| 14 | - "b roll" |
| 15 | |
| 16 | |
| 17 | # B-Roll (Kling 3) |
| 18 | |
| 19 | 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. |
| 20 | |
| 21 | ## Prerequisites |
| 22 | |
| 23 | Script with `[B-ROLL]` segments tagged (from `/persona`) |
| 24 | A-roll clips generated (from `/animate`) — needed for environment matching |
| 25 | |
| 26 | ## Environment Matching |
| 27 | |
| 28 | 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`. |
| 29 | |
| 30 | Generate **context-specific first frames** per scene. Don't use the podcast frame (headphones) for gym B-roll. |
| 31 | |
| 32 | ## Cut Timing |
| 33 | |
| 34 | 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. |
| 35 | |
| 36 | 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. |
| 37 | |
| 38 | ## Generation |
| 39 | |
| 40 | **USE `scripts/generate-broll.sh` — do NOT construct Kling API calls manually.** |
| 41 | |
| 42 | |
| 43 | # B-roll with environment-matched start frame (RECOMMENDED) |
| 44 | bash scripts/generate-broll.sh \ |
| 45 | --provider fal \ |
| 46 | --image workspace/campaigns/<slug>/frames/environment-frame.png \ |
| 47 | --prompt-file workspace/campaigns/<slug>/broll-prompt.txt \ |
| 48 | --output workspace/campaigns/<slug>/clips/b-roll-01.mp4 \ |
| 49 | --log-file workspace/campaigns/<slug>/output-log.md \ |
| 50 | --label b-roll-01 \ |
| 51 | --seconds 5 |
| 52 | |
| 53 | # Faceless B-roll (no start frame needed) |
| 54 | bash scripts/generate-broll.sh \ |
| 55 | --provider fal \ |
| 56 | --prompt-file workspace/campaigns/<slug>/broll-prompt.txt \ |
| 57 | --output workspace/campaigns/<slug>/clips/b-roll-02.mp4 \ |
| 58 | --log-file workspace/campaigns/<slug>/output-log.md \ |
| 59 | --label b-roll-02 \ |
| 60 | --seconds 5 |
| 61 | |
| 62 | |
| 63 | ## API Reference |
| 64 | |
| 65 | Read `references/kling-api.md` for Kling 3 endpoint details, field names, and queue workflow on fal.ai. |
| 66 | |
| 67 | ## Key Findings |
| 68 | |
| 69 | Kling generates in ~100s vs Sora's 5-10 min. Use Kling for ALL B-roll. |
| 70 | Same character face image feeds both engines for identity consistency |
| 71 | **AI cannot generate realistic app screens or UI text.** For product/app demos: use real screenshots or screen recordings. |
| 72 | The orchestrator doc (`references/orchestrator.md`) has the full A/B-roll split methodology |
| 73 | |
| 74 | ## Brand Memory Integration |
| 75 | |
| 76 | ### Reads |
| 77 | | File | Purpose | |
| 78 | |------|---------| |
| 79 | | `workspace/campaigns/<slug>/frames/environment-frame.png` | Environment-matched start frame for Kling i2v | |
| 80 | | `workspace/campaigns/<slug>/clips/a-roll-*.mp4` | Source clips to extract environment frames from | |
| 81 | | `workspace/campaigns/<slug>/scripts/<format>-script.md` | B-roll segments and visual cues | |
| 82 | |
| 83 | ### Writes |
| 84 | | File | Notes | |
| 85 | |------|-------| |
| 86 | | `workspace/campaigns/<slug>/clips/b-roll-01.mp4` | One file per B-roll segment | |
| 87 | | `workspace/campaigns/<slug>/output-log.md` | Kling prompt, duration, provider (append-only) | |
| 88 | |
| 89 | ### Context loading |
| 90 | |
| 91 | |
| 92 | 🎞️ B-Roll context loaded: |
| 93 | ✓ Environment frame: workspace/campaigns/ridge-q1/frames/environment-frame.png |
| 94 | ✓ A-roll clips: 3 found (workspace/campaigns/ridge-q1/clips/) |
| 95 | ✓ Script: talking-head (B-roll segments: 2) |
| 96 | ✓ Campaign: ridge-q1 |
| 97 | |
| 98 | |
| 99 | ## Contract |
| 100 | |
| 101 | ### Input |
| 102 | Required: `[B-ROLL]` script segments plus either an environment frame or usable A-roll clips for extraction |
| 103 | Optional: product screenshots, faceless B-roll prompts, campaign brief for scene grounding |
| 104 | Format: workspace image/video files plus B-roll prompt text |
| 105 | Source: `/animate`, `/persona`, and `references/orchestrator.md` |
| 106 | |
| 107 | ### Output |
| 108 | Produces: one visual-only B-roll clip per segment plus append-only generation logs |
| 109 | Format: MP4 files in `workspace/campaigns/<slug>/clips/` and rows in `output-log.md` |
| 110 | Default behavior: use Kling with an environment-matched start frame; for app demos, use real screenshots or recordings instead of AI UI generation |
| 111 | Downstream use: `/assemble` |
| 112 | |
| 113 | ### Validation |
| 114 | Pre-conditions: the cut point is clear in the script and there is enough scene context to match the A-roll environment |
| 115 | Post-conditions: clip visually fits the voice beat, feels like the same world as the A-roll, and saves locally |
| 116 | Failure checks: do not accept stock-looking B-roll, mismatched rooms, or fake app UI when the product needs a real screen |
| 117 | |
| 118 | ## Output |
| 119 | |
| 120 | B-roll clips (MP4) in `workspace/campaigns/<slug>/clips/` |
| 121 | Each clip named `b-roll-<segment>.mp4` corresponding to a `[B-ROLL]` script segment |
| 122 | Clips are visual-only — no dialogue |
| 123 | Generation params logged to `workspace/campaigns/<slug>/output-log.md` |
| 124 | |
| 125 | ## Next Step |
| 126 | |
| 127 | B-roll done → run `/assemble` to stitch everything together with unified audio. |
| 128 |
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