A specialized placeholder skill designed to facilitate the integration and development of video-to-video generation workflows within the Openclaw ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install v2v
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 v2v 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 v2v Video-to-Video Placeholder?
The v2v skill serves as a structural foundation for video-to-video (V2V) generation capabilities on the skills.video platform. It acts as a bridge for developers and AI agents to handle video transformation requests even before a concrete API contract is fully finalized. By utilizing this Openclaw Skills component, users can ensure their AI agents follow a standardized logic for identifying missing provider documentation and avoiding hallucinated API parameters during the development phase.
As part of the broader Openclaw Skills library, v2v focuses on maintaining technical integrity. It prevents agents from guessing request fields for complex tasks like style transfer or video editing, instead providing a clear path toward verifying OpenAPI contracts and terminal status flows for production-ready video processing.
v2v Video-to-Video Placeholder Use Cases
- Managing placeholder logic for video-to-video generation requests during early-stage development.
- Implementing standardized error handling when an AI agent encounters unsupported V2V providers.
- Scaffolding new video edit workflows that require precise video input formats like URLs or asset IDs.
- Transitioning experimental video transformation scripts into stable Openclaw Skills integrations.
How v2v Video-to-Video Placeholder Works
- The skill is invoked when a user or parent agent requests a video-to-video generation task.
- It immediately identifies itself as a placeholder to prevent the generation of invalid API requests.
- The skill checks for the existence of provider-specific openapi.json files or documentation for the requested model.
- It evaluates necessary parameters such as style strength, trim settings, and input asset requirements.
- If the API contract is verified, the workflow guides the transition from placeholder status to a production-ready execution flow.
v2v Video-to-Video Placeholder Setup
To prepare your environment for this Openclaw Skills module, ensure your local registry is configured:
# Navigate to your local skills directory
cd ~/openclaw/skills
# Initialize the v2v placeholder
openclaw install v2v
# Verify the skill configuration
openclaw status v2v
Note: Since this is a placeholder, you must manually wire the OpenAPI contract for your specific video provider in the configuration file.
v2v Video-to-Video Placeholder Data Schema & Taxonomy
The v2v skill utilizes a structured approach to track the evolution of the video workflow. Metadata and requirements are organized as follows:
| Component | Description |
|---|---|
| Input Format | Supports URL, local file upload paths, or unique Asset IDs. |
| Edit Controls | Placeholders for prompt, transformation strength, and style transfer. |
| Status Flow | Tracks the lifecycle from creation endpoint to terminal success/failure. |
| API Contract | Reference to the verified openapi.json for the specific provider. |
v2v Video-to-Video Placeholder Advanced Features
- Intelligent documentation lookup for provider-specific model endpoints.
- Seamless promotion logic to upgrade from v2v to production video-generation workflows.
- Multi-agent support for identifying and reporting undocumented video input fields.
- Integration hooks for fallback polling behavior during long-running video renders.
SKILL.md
Loading
Related Openclaw Skills
Badge Qualifier
Badge Qualifier intelligently converts raw trade show interactions into structured, tiered lead profiles using conservative scoring logic.
Email Campaign Management
A comprehensive end-to-end workflow for managing marketing campaigns, tracking user conversions, and automating trial activations.
Noticeable
A powerful integration for managing SaaS user feedback and product notes through automated AI agent workflows.
Elite Longterm Memory
A professional-grade, multi-layered memory architecture that prevents context loss for AI agents through session state tracking, vector search, and git-based archiving.
OpenClaw AI Marketing
A comprehensive multi-lane operating system for running, auditing, and scaling a daily AI marketing machine with strict accountability.
Heartbeat
A comprehensive integration for managing Heartbeat community data, user engagement, and platform monitoring through automated AI workflows.
Featured*
