ClipMatrix is an automated batch video production workflow that converts local B-roll footage and AI scripts into scheduled multi-account social media matrices.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clipmatrix
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install clipmatrix using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ClipMatrix is an automated batch video production and multi-account publishing framework built for creators, marketers, and vertical account networks. Rather than relying on rigid online templates or fully generic synthetic footage, ClipMatrix enables creators to dynamically sequence content, write localized talking scripts via DeepSeek, overlay high-fidelity Text-to-Speech voices, and seamlessly bind matching clips from their own local video libraries.
Optimized to run within modern developer environments, this tool integrates natively with Openclaw Skills to transform local raw video folders into highly engaging vertical content matrices. By orchestrating robust rendering algorithms and anti-spam publish schedules, developers and growth teams can run up to 25 social media accounts concurrently, delivering up to 40+ customized, unique brand clips every single day.
Ensure you have the following system packages installed on your host machine:
Install the package into your repository environment using the standard CLI execution for Openclaw Skills:
openclaw skills install git:373246784-design/clipmatrix
cd clipmatrix
cp config.yaml.example config.yaml
config.yaml and enter your API keys, local paths, and accounts:DEEPSEEK_API_KEY in your environment variables.METRICOOL_TOKEN for scheduling automation.paths.library_dir to your local B-roll folder.To generate and inspect a single, specific calendar block:
python3 scripts/run_and_notify.py 00 2026-06-01 AM
To initiate the batch production workflow over a seven-day window:
python3 scripts/batch_runner.py 00 2026-06-01 2026-06-07
ClipMatrix relies on structured data models to manage configuration settings, storyboards, and asset indices. Below is the taxonomy for setting up your local environment and understanding output formats:
Your B-roll assets should be organized in your designated local library path:
library_dir/
└── vertical_clips/
├── Chengdu_skyline_day.mp4
├── Chongqing_night_market.mp4
└── WestSichuan_mountain_drone.mp4
| Configuration Key | Data Type | Description | Required |
|---|---|---|---|
DEEPSEEK_API_KEY |
String | Environment variable for script-writing LLM access | Yes |
METRICOOL_TOKEN |
String | API token for publishing automations | Yes |
api.deepseek.model |
String | LLM used for copywriting (defaults to deepseek-v4-pro) |
No |
paths.library_dir |
String | File path to local raw vertical footage directory | Yes |
workflow.tta_max_duration_sec |
Integer | Maximum limit in seconds for Text-to-Speech audio clips (default: 50) | No |
video.min_words / max_words |
Integer | Allowed boundaries for oral voiceover scripts (range: 60-120) | No |
accounts.id_range |
String | Multi-account target configuration scope (e.g., 01-25) |
Yes |
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