A specialized AI skill for swapping faces in existing HTTPS videos using a reference image via the WeryAI API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-tool-face-change
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 video-tool-face-change 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 WeryAI Video Face Change?
The WeryAI Video Face Change skill is a precision-engineered tool designed for professional-grade face replacement within existing video content. Unlike generative text-to-video models, this skill focuses strictly on the face-swap workflow, allowing developers and creators to overlay a reference face image onto a target video URL. As a key component of the Openclaw Skills ecosystem, it provides a stable and predictable interface for video manipulation tasks.
Built for performance and security, the skill utilizes Node.js and the WeryAI API to process transformations. It operates exclusively through public HTTPS URLs, ensuring that workflows remain cloud-native without the overhead of local file management or manual upload procedures. This makes it an ideal choice for automated pipelines where consistency and API reliability are paramount.
WeryAI Video Face Change Use Cases
- Swapping a user's face into existing cinematic or promotional video templates.
- Automating personalized video content creation for digital marketing campaigns.
- Creating realistic face replacements for visual effects and social media content.
- Integrating high-fidelity face swapping into larger AI-driven video editing workflows within Openclaw Skills.
How WeryAI Video Face Change Works
- The user provides a public HTTPS link to a source video and a reference face image.
- The skill validates the input parameters using a dry-run mode to ensure JSON integrity.
- A task is submitted to the WeryAI API via the
scripts/video_face_change.jsentry point. - The system polls for the task status using the
waitcommand or monitors a specifictask_idvia thestatuscommand. - Upon completion, the tool returns the final processed video URL for immediate use.
WeryAI Video Face Change Setup
To get started with this skill, ensure you have Node.js 18+ installed and a valid API key from WeryAI.
# Set your environment variable
export WERYAI_API_KEY='your_api_key_here'
# Verify the tool schema and requirements
node scripts/video_face_change.js spec
WeryAI Video Face Change Data Schema & Taxonomy
The skill follows a strict input/output schema to maintain compatibility with Openclaw Skills standards.
| Parameter | Type | Description |
|---|---|---|
video_url |
String (HTTPS) | The public URL of the video to be modified. |
image_url |
String (HTTPS) | The public URL of the reference face image. |
task_id |
String | A unique identifier used to track the processing status. |
status |
String | The current state of the job (e.g., pending, completed, failed). |
WeryAI Video Face Change Advanced Features
- Dry-Run Validation: Test your JSON payloads and connection logic without consuming API credits.
- Asynchronous Submission: Use the
submitflag to trigger jobs in the background and retrieve results later. - Real-time Polling: The
waitcommand simplifies workflows by automatically polling the API until the video is ready. - Security Hardening: Strict adherence to environment variable isolation, reading only the
WERYAI_API_KEYto prevent credential leakage.
SKILL.md
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