video-toolkit Checked
Installation
Copy the prompt below and send it to your AI assistant (e.g. Claude Code) — it will follow the instructions and install automatically.
Install the "video-toolkit" skill by following the instructions at https://skill123.me/install/video-toolkit.
Run in your terminal — downloads and installs to ~/.claude/skills/.
curl -fsSL https://skill123.me/install/video-toolkit.sh | bash
Download the zip and extract it into your skills directory (e.g. ~/.claude/skills/), then restart your session.
⬇ Download v1.0.0 · 6 KBNot live-tested yet — this skill is rated on static analysis only.
About this skill
Create professional videos autonomously using claude-code-video-toolkit — AI voiceovers, image generation, music, talking heads, and Remotion rendering.
Video Toolkit
Create professional explainer videos from a text brief. The toolkit 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.
Documentation
Create professional videos autonomously using claude-code-video-toolkit — AI voiceovers, image generation, music, talking heads, and Remotion rendering.
Video Toolkit
Create professional explainer videos from a text brief. The toolkit 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.
CRITICAL: Toolkit Path
The toolkit lives at a fixed path. **ALWAYS cd here before running any tool command.**
TOOLKIT=~/.openclaw/workspace/claude-code-video-toolkit
cd $TOOLKIT
**NEVER run tool commands from inside a project directory.** Tools resolve paths relative to the toolkit root.
Setup
### Step 1: Check Current State
cd ~/.openclaw/workspace/claude-code-video-toolkit
python3 tools/verify_setup.py
If everything shows [x], skip to "Quick Test" below. Otherwise continue setup.
### Step 2: Install Python Dependencies
cd ~/.openclaw/workspace/claude-code-video-toolkit
pip3 install --break-system-packages -r tools/requirements.txt
Note: --break-system-packages is needed on Debian/Ubuntu with managed Python (PEP 668). Safe inside containers.
### Step 3: Configure Cloud GPU Endpoints
The toolkit needs cloud GPU endpoint URLs in .env. Check if .env exists and has Modal endpoints:
cat ~/.openclaw/workspace/claude-code-video-toolkit/.env | grep MODAL
If Modal endpoints are configured, you're ready. If not, **ask the user to provide Modal endpoint URLs** or set up Modal:
pip3 install --break-system-packages modal
python3 -m modal setup # Opens browser for authentication
# Deploy each tool — capture the endpoint URL from output
cd ~/.openclaw/workspace/claude-code-video-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
modal deploy docker/modal-ltx2/app.py # Requires: modal secret create huggingface-token HF_TOKEN=hf_...
**LTX-2 prerequisite:** Before deploying LTX-2, create a HuggingFace secret and accept the Gemma 3 license:
modal secret create huggingface-token HF_TOKEN=hf_your_read_access_token
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
MODAL_LTX2_ENDPOINT_URL=https://...modal.run
View full documentation
Optional but recommended — Cloudflare R2 for reliable file transfer:
R2_ACCOUNT_ID=...
R2_ACCESS_KEY_ID=...
R2_SECRET_ACCESS_KEY=...
R2_BUCKET_NAME=video-toolkit
### Step 4: Verify and Quick Test
cd ~/.openclaw/workspace/claude-code-video-toolkit
python3 tools/verify_setup.py
All tools should show [x]. Then run a quick test to confirm the GPU pipeline works:
cd ~/.openclaw/workspace/claude-code-video-toolkit
python3 tools/qwen3_tts.py --text "Hello, this is a test." --speaker Ryan --tone warm --output /tmp/video-toolkit-test.mp3 --cloud modal
If you get a valid .mp3 file, setup is complete. If it fails, check:
.envhas the correctMODAL_QWEN3_TTS_ENDPOINT_URL- Run
python3 tools/verify_setup.py --jsonand checkmodal_toolsfor which endpoints are missing
**Cost:** Modal includes $30/month free compute. A typical 60s video costs $1-3.
---
Creating a Video
### Step 1: Create Project
cd ~/.openclaw/workspace/claude-code-video-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:** Estimate durationSeconds as ceil(word_count / 2.5) + 2. You will adjust this after generating audio in Step 4.
### Step 3: Write Voiceover Script
Create projects/PROJECT_NAME/VOICEOVER-SCRIPT.md:
## Scene 1: Title (9s, ~17 words)
Build videos with AI. The product name 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. The -2 accounts for 1s audio delay + 1s padding.
### Step 4: Generate Assets
**CRITICAL: All commands below MUST be run from the toolkit root, not the project directory.**
cd ~/.openclaw/workspace/claude-code-video-toolkit
#### 4a. Background Music
cd ~/.openclaw/workspace/claude-code-video-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.
#### 4b. Voiceover (per-scene)
Generate ONE .mp3 file PER SCENE. Do NOT generate a single voiceover file.
cd ~/.openclaw/workspace/claude-code-video-toolkit
# Scene 01
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
# Scene 02
python3 tools/qwen3_tts.py \
--text "The voiceover text for scene two." \
--speaker Ryan --tone warm \
--output projects/PROJECT_NAME/public/audio/scenes/02.mp3 \
--cloud modal
# ... repeat for each scene
**Speakers:** Ryan, Aiden, Vivian, Serena, Uncle_Fu, Dylan, Eric, Ono_Anna, Sohee
**Tones:** neutral, warm, professional, excited, calm, serious, storyteller, tutorial
For voice cloning (needs a reference recording):
cd ~/.openclaw/workspace/claude-code-video-toolkit
python3 tools/qwen3_tts.py \
--text "Text to speak" \
--ref-audio assets/voices/reference.m4a \
--ref-text "Exact transcript of the reference audio" \
--output projects/PROJECT_NAME/public/audio/scenes/01.mp3 \
--cloud modal
#### 4c. Scene Images
cd ~/.openclaw/workspace/claude-code-video-toolkit
python3 tools/flux2.py \
--prompt "Dark tech background with blue geometric grid, cinematic lighting" \
--width 1920 --height 1080 \
--output projects/PROJECT_NAME/public/images/title-bg.png \
--cloud modal
Image presets (use --preset instead of --prompt --width --height):
title-bg, problem, solution, demo-bg, stats-bg, cta, thumbnail, portrait-bg
cd ~/.openclaw/workspace/claude-code-video-toolkit
python3 tools/flux2.py \
--preset title-bg \
--output projects/PROJECT_NAME/public/images/title-bg.png \
--cloud modal
#### 4d. Video Clips — B-Roll & Animated Backgrounds (optional)
Generate AI video clips for b-roll cutaways, animated slide backgrounds, or intro/outro sequences:
cd ~/.openclaw/workspace/claude-code-vi
Score breakdown
Assessment methodology
Version history
Imported from calesthio/OpenMontage@main