An end-to-end multi-agent orchestration pipeline for producing high-quality faceless Islamic story videos for social media platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install director
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 director using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill provides a robust framework for automating the production of religious educational content. By utilizing Openclaw Skills, developers can deploy a sophisticated orchestrator that manages five specialized agents to handle research, scriptwriting, image generation, voiceovers, and final video rendering. It is specifically designed to meet the unique requirements of the Islamic content niche, ensuring all output follows strict sensitivity guidelines, such as maintaining faceless depictions of religious figures.
The system focuses on brand consistency through a recurring narrator character and cinematic visual styles. This allows creators to maintain a professional and recognizable presence across TikTok, Instagram Reels, and YouTube Shorts without the need for manual video editing or on-camera presence.
To deploy this pipeline using Openclaw Skills, follow these installation steps:
agents/ directory.# Ensure FFmpeg is installed for the Assembly Agent
sudo apt install ffmpeg
# Configure API keys for image generation and TTS in global_config.json
# Enable web_search and file_system tools for the respective agents
global_config.json with your channel name and narrator character descriptions.The skill manages data across multiple stages of the pipeline to ensure consistency:
| Component | Format | Purpose |
|---|---|---|
| Global Config | JSON | Stores brand identity, sensitivity rules, and API settings. |
| Story Data | JSON | Contains validated research, source citations, and the emotional arc. |
| Script Object | JSON | Details scene categories (narrator vs. story), narration, and visual cues. |
| Asset Logs | Metadata | Tracks paths for generated images, audio files, and temporary video clips. |
| Final Export | MP4/SRT | The rendered video file along with its associated subtitle file. |
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