A structured AI agent pipeline for generating emotionally-driven, high-velocity short-form video content featuring consistent virtual avatars.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install avatar-content-engine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install avatar-content-engine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Avatar Content Engine?
The Avatar Content Engine is a specialized runtime architecture for Openclaw Skills designed to manage a platform-native AI-avatar content system. Rather than providing generic content recommendations, this system executes a structured three-stage pipeline to generate high-performing scripts, consistent character portraits, and synthesized video clips for networks like TikTok, Reels, and Shorts.
By focusing on emotional resonance, channel division, and micro-moments over empty informational scripts, this skill accelerates creative asset velocity. This workflow solves the primary creative supply bottlenecks that teams experience when trying to scale visual marketing campaigns.
Avatar Content Engine Use Cases
- Accelerating the volume of short-form ad creatives for multi-channel video campaigns.
- Generating platform-native scripts designed to trigger high viewer engagement and comments.
- Maintaining character and aesthetic consistency for AI influencer avatars across multiple platforms.
- Implementing systematic voice and lip-sync creation without relying on robotic in-model audio generation.
- Running rapid A/B testing on video hooks using custom emotion filters and secondary audience perspectives.
How Avatar Content Engine Works
- Script Generation: The engine crafts a 16-second, two-clip script based on the specified avatar persona, using custom emotional hooks and a structured JSON output contract.
- Visual Prompting: Consistent character reference grids (2x2) are compiled using precise photographic terminology, avoiding artificial rendering buzzwords.
- Voice Preparation: The system uses a dedicated voice-cloning pipeline to output the audio track separately, ensuring proper prosody and pronunciation control.
- Lip-Sync & Video Synthesis: The generated audio file is layered onto the video generation model (like Seedance, Kling, or Wan) to produce lip-synced video with balanced physical movement.
- Clip Chaining: End-frame screenshots are utilized as initiation points for subsequent clips to preserve character and environmental continuity.
Avatar Content Engine Setup
To integrate the Avatar Content Engine as part of your Openclaw Skills workspace, you must register the capability and configure your runtime environment.
Ensure your system has the proper MCP server access keys for video and image generation platforms.
# Install the skills library in your Openclaw runtime
npm install @openclaw/avatar-content-engine
# Register your avatar roster configurations and brand slots
openclaw skills:register avatar-content-engine --config ./avatar-config.json
Provide the necessary API access tokens for your image generation model and voice-cloning platform inside your secure environment variables.
Avatar Content Engine Data Schema & Taxonomy
The engine produces structured outputs to ensure predictable pipelines.
| Field Name | Type | Description |
|---|---|---|
hook_concept |
String | The core emotional or trend-based hook used |
brand_integrated |
Boolean | Flags if the script incorporates brand slots |
clip1 / clip2 |
Object | Visual direction, on-screen text, dialogue, and gestures |
caption |
String | Meta details, hashtags, and engagement CTAs |
Avatars are governed by configuration rosters specifying brand slots, visual anchors, and separate niche and brand content banks.
Avatar Content Engine Advanced Features
- Virality Systems: Ten selectable narrative modules including Tension loops, Audience Flip, and Series Arcs.
- Duo Hook Generation: Automated mechanics to incorporate secondary off-screen characters or peer sharing prompts.
- Silent & Reaction Modes: Dynamic script translation relying entirely on on-screen text and physical gestures.
- Multi-Clip Continuity: Systematized end-frame tracking to maintain environmental and facial consistency across generations.
- Platform-Specific Formatting: Automatic visual adjustments designed for TikTok, Instagram, YouTube, or Facebook distribution.
SKILL.md
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