The essential architectural blueprint for integrating Revid's video generation engine into any AI agent workflow.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install revid-api-foundations
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 revid-api-foundations using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Revid API Foundations serves as the critical backbone for all video-related Openclaw Skills, providing a unified interface for programmatic video creation. It abstracts the complexities of the Revid V3 API, establishing a standardized contract for authentication, endpoint interaction, and asynchronous result handling. By loading these foundations once, developers ensure their AI agents possess the prerequisite knowledge to navigate the single render endpoint architecture and manage the full video production lifecycle from request to final asset delivery.
This skill is designed to handle the heavy lifting of video engineering, including source mapping and response envelope parsing. It allows developers to focus on creative inputs—like scripts, articles, or prompts—while the foundation ensures technical reliability. Whether you are building a tool for TikTok automation or LinkedIn video content, these Openclaw Skills foundations provide the stability and consistency required for high-scale media generation.
To use these Revid-powered Openclaw Skills, you must first configure your environment with your Revid API Key.
# Export your API key to your environment
export REVID_API_KEY="your_api_key_here"
# Basic authentication check
curl -H "key: $REVID_API_KEY" https://www.revid.ai/api/public/v3/render
Ensure that your agent is configured to handle JSON responses and can perform basic HTTP loops for status polling.
Revid API Foundations utilizes a specific mapping between workflows and data sources to ensure successful renders.
| Workflow | Required Data Field | Input Content Type |
|---|---|---|
| script-to-video | source.text |
Plain text scripts |
| article-to-video | source.url |
Webpage or blog URLs |
| avatar-to-video | source.text + avatar.url |
Script and headshot image |
| prompt-to-video | source.prompt |
AI-assisted video ideas |
| music-to-video | source.url |
Audio file link |
All successful responses return a JSON envelope containing success: 1 and a unique pid for tracking.
webhookUrl to replace polling, enabling event-driven video generation architectures.calculate-credits endpoint to estimate costs before initiating a render.media.videoModel parameter.aspectRatio that automatically format content for Reels, YouTube, or LinkedIn.Loading
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