Video toolkit

Skill tinh2/skills-hub-registry/build/video-toolkit

Open registry of community-contributed AI coding skills (SKILL.md files) — daily-synced to skills-hub.ai. Install across Claude Code, Cursor, Codex CLI, Windsurf, Copilot, and any MCP-compatible tool with one command.

Install

npx -y skills add tinh2/skills-hub-registry --skill video-toolkit

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Create professional videos autonomously using AI -- voiceovers (Qwen3-TTS with voice cloning), image generation (FLUX.2), background music (MusicGen), talking head animation (SadTalker), and Remotion rendering. Uses cloud GPUs via Modal or RunPod. Full pipeline from text brief to rendered MP4.

SKILL.md

7.3 KB, ~2.0k tokens by cl100k_base, as published. Nobody here has run it

Video Toolkit

Create professional explainer videos from a text brief. Uses open-source AI models on cloud GPUs (Modal or RunPod) for voiceover, image generation, music, and talking head animation. Remotion (React) handles composition and rendering.

Setup

Step 1: Check Current State

TOOLKIT=~/.openclaw/workspace/claude-code-video-toolkit
cd $TOOLKIT
python3 tools/verify_setup.py

Step 2: Install Dependencies

cd $TOOLKIT
pip3 install --break-system-packages -r tools/requirements.txt

Step 3: Configure Cloud GPU Endpoints

The toolkit needs Modal endpoint URLs in .env:

pip3 install --break-system-packages modal
python3 -m modal setup   # Opens browser for auth

# Deploy each tool
cd $TOOLKIT
modal deploy docker/modal-qwen3-tts/app.py
modal deploy docker/modal-flux2/app.py
modal deploy docker/modal-music-gen/app.py
modal deploy docker/modal-sadtalker/app.py
modal deploy docker/modal-image-edit/app.py
modal deploy docker/modal-upscale/app.py
modal deploy docker/modal-propainter/app.py

Add each URL to .env:

MODAL_QWEN3_TTS_ENDPOINT_URL=https://...modal.run
MODAL_FLUX2_ENDPOINT_URL=https://...modal.run
MODAL_MUSIC_GEN_ENDPOINT_URL=https://...modal.run
MODAL_SADTALKER_ENDPOINT_URL=https://...modal.run
MODAL_IMAGE_EDIT_ENDPOINT_URL=https://...modal.run
MODAL_UPSCALE_ENDPOINT_URL=https://...modal.run
MODAL_DEWATERMARK_ENDPOINT_URL=https://...modal.run

Optional -- Cloudflare R2 for reliable file transfer:

R2_ACCOUNT_ID=...
R2_ACCESS_KEY_ID=...
R2_SECRET_ACCESS_KEY=...
R2_BUCKET_NAME=video-toolkit

Creating a Video

Step 1: Create Project

cd $TOOLKIT
cp -r templates/product-demo projects/PROJECT_NAME
cd projects/PROJECT_NAME
npm install

Templates: product-demo (marketing/explainer), sprint-review, sprint-review-v2 (composable scenes).

Step 2: Write Config

Edit projects/PROJECT_NAME/src/config/demo-config.ts:

export const demoConfig: ProductDemoConfig = {
  product: {
    name: 'My Product',
    tagline: 'What it does in one line',
    website: 'example.com',
  },
  scenes: [
    { type: 'title', durationSeconds: 9, content: { headline: '...', subheadline: '...' } },
    { type: 'problem', durationSeconds: 14, content: { headline: '...', problems: ['...'] } },
    { type: 'solution', durationSeconds: 13, content: { headline: '...', highlights: ['...'] } },
    { type: 'stats', durationSeconds: 12, content: { stats: [{value: '99%', label: '...'}] } },
    { type: 'cta', durationSeconds: 10, content: { headline: '...', links: ['...'] } },
  ],
  audio: {
    backgroundMusicFile: 'audio/bg-music.mp3',
    backgroundMusicVolume: 0.12,
  },
};

Scene types: title, problem, solution, demo, feature, stats, cta.

Duration rule: ceil(word_count / 2.5) + 2.

Step 3: Write Voiceover Script

Create projects/PROJECT_NAME/VOICEOVER-SCRIPT.md:

## Scene 1: Title (9s, ~17 words)
Build videos with AI. The toolkit makes it easy.

## Scene 2: Problem (14s, ~30 words)
The problem statement goes here. Keep it punchy and relatable.

Word budget per scene: (durationSeconds - 2) * 2.5 words.

Step 4: Generate Assets

All commands must run from toolkit root ($TOOLKIT).

Background Music

cd $TOOLKIT
python3 tools/music_gen.py \
  --preset corporate-bg \
  --duration 90 \
  --output projects/PROJECT_NAME/public/audio/bg-music.mp3 \
  --cloud modal

Presets: corporate-bg, upbeat-tech, ambient, dramatic, tension, hopeful, cta, lofi.

Voiceover (per-scene)

cd $TOOLKIT
python3 tools/qwen3_tts.py \
  --text "The voiceover text for scene one." \
  --speaker Ryan --tone warm \
  --output projects/PROJECT_NAME/public/audio/scenes/01.mp3 \
  --cloud modal

Speakers: Ryan, Aiden, Vivian, Serena, Uncle_Fu, Dylan, Eric, Ono_Anna, Sohee Tones: neutral, warm, professional, excited, calm, serious, storyteller, tutorial

For voice cloning:

python3 tools/qwen3_tts.py \
  --text "Text to speak" \
  --ref-audio assets/voices/reference.m4a \
  --ref-text "Exact transcript of the reference audio" \
  --output output.mp3 --cloud modal

Scene Images

cd $TOOLKIT
python3 tools/flux2.py \
  --prompt "Dark tech background with blue geometric grid" \
  --width 1920 --height 1080 \
  --output projects/PROJECT_NAME/public/images/title-bg.png \
  --cloud modal

Image presets: title-bg, problem, solution, demo-bg, stats-bg, cta, thumbnail, portrait-bg

Talking Head (optional)

cd $TOOLKIT
# Generate portrait
python3 tools/flux2.py \
  --prompt "Professional presenter portrait, dark background, facing camera" \
  --width 1024 --height 576 \
  --output projects/PROJECT_NAME/public/images/presenter.png --cloud modal

# Animate per scene
python3 tools/sadtalker.py \
  --image projects/PROJECT_NAME/public/images/presenter.png \
  --audio projects/PROJECT_NAME/public/audio/scenes/01.mp3 \
  --preprocess full --still --expression-scale 0.8 \
  --output projects/PROJECT_NAME/public/narrator-01.mp4 --cloud modal

SadTalker rules:

ALWAYS use --preprocess full (default crop gives wrong aspect ratio)
ALWAYS use --still (reduces head movement)
ALWAYS generate per-scene clips, NEVER one long video

Step 5: Sync Timing

cd $TOOLKIT
for f in projects/PROJECT_NAME/public/audio/scenes/*.mp3; do
  echo "$(basename $f): $(ffprobe -v error -show_entries format=duration -of csv=p=0 "$f")s"
done

Update durationSeconds in config to ceil(actual_audio_duration + 2).

Step 6: Review and Render

cd $TOOLKIT/projects/PROJECT_NAME
npx remotion still src/index.ts ProductDemo --frame=100 --output=/tmp/review.png
npm run render

Output: out/ProductDemo.mp4

Composition Patterns

Per-Scene Audio (1s delay)

<Sequence from={30}>
  <Audio src={staticFile('audio/scenes/01.mp3')} volume={1} />
</Sequence>

Narrator PiP

<Sequence from={30}>
  <OffthreadVideo
    src={staticFile('narrator-01.mp4')}
    style={{ width: 320, height: 180, objectFit: 'cover' }}
    muted
  />
</Sequence>

ALWAYS use <OffthreadVideo>, NEVER <video>.

Transitions

import { TransitionSeries, linearTiming } from '@remotion/transitions';
import { fade } from '@remotion/transitions/fade';

Import custom transitions from lib/transitions/presentations/ directly, never from barrel.

Cost Estimates (Modal)

Tool	Cost	Notes
Qwen3-TTS	~$0.01/scene	~20s warm GPU
FLUX.2	~$0.01/image	~3s warm
MusicGen	~$0.02-0.05	Duration-dependent
SadTalker	~$0.05-0.20/scene	~3-4 min per 10s audio
RealESRGAN	~$0.005/image	Very fast

Total 60s video: ~$1-3. Modal Starter: $30/month free compute.

Source: digitalsamba/claude-code-video-toolkit (MIT License)