A standardized placeholder skill designed to scaffold image-to-image AI generation workflows within the skills.video ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install i2i
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 i2i 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 i2i (Image-to-Image Placeholder)?
The i2i skill serves as a foundational architectural placeholder within the Openclaw Skills ecosystem, specifically designed for image-to-image (i2i) generation tasks on the skills.video platform. While the full production API contract is finalized, this skill provides a reliable structure for AI agents to handle user requests without making incorrect assumptions about undocumented fields or endpoints. It ensures that any image manipulation workflow begins with a clear status report to the user, maintaining technical integrity until the full production integration is complete.
i2i (Image-to-Image Placeholder) Use Cases
- Managing early-stage development of image transformation tools within Openclaw Skills.
- Providing a structured response when users request i2i features on skills.video before full implementation.
- Scaffolding new AI image workflows that require specific provider OpenAPI contracts.
- Preventing AI agents from guessing API request fields for complex image inputs.
How i2i (Image-to-Image Placeholder) Works
- The AI agent receives a request for image-to-image generation.
- The skill identifies itself as a placeholder and communicates this status to the user to manage expectations.
- It programmatically checks for existing model-specific documentation or openapi.json files for the targeted provider.
- It avoids generating hallucinated fields and instead prompts for necessary model or endpoint details if they are required to proceed.
- Once the technical API contract is confirmed, the placeholder is promoted to a functional Openclaw Skills workflow similar to text-to-image generation.
i2i (Image-to-Image Placeholder) Setup
To include this placeholder in your local development environment, ensure you have your agent framework initialized and the directory structure ready for Openclaw Skills.
# Navigate to your skills directory
cd my-ai-agent/skills
# Create the i2i directory and initialize the SKILL.md
mkdir i2i
touch i2i/SKILL.md
Configure your agent to recognize the i2i name as the primary handler for image-to-image transformations on the skills.video domain.
i2i (Image-to-Image Placeholder) Data Schema & Taxonomy
The current data schema for this placeholder is minimal to prevent schema errors during the implementation phase of Openclaw Skills.
| Attribute | Description |
|---|---|
| name | i2i (Image-to-Image) |
| status | Placeholder / In-Development |
| related_skills | image-generation, video-generation |
| platform | skills.video |
All input formats, such as image URLs, asset IDs, or file upload semantics, are currently pending definition based on specific provider contracts.
i2i (Image-to-Image Placeholder) Advanced Features
- Integration hooks for future automated OpenAPI contract injection.
- Cross-skill compatibility with existing text-to-image Openclaw Skills workflows.
- Logic templates for fallback polling behavior during asynchronous i2i generation tasks.
- Dynamic error handling guidance to surface implementation limitations clearly to end-users.
SKILL.md
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