A specialized placeholder skill designed to manage and transition text-to-image generation workflows on skills.video.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install t2i
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 t2i 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 t2i (Text-to-Image Placeholder)?
The t2i skill serves as a critical architectural placeholder within the Openclaw Skills ecosystem for text-to-image (T2I) generation. It is specifically designed for scenarios where a user requests image generation but the concrete API contract or provider-specific implementation has not yet been finalized. By using this skill, developers can ensure that the AI agent handles requests gracefully without inventing undocumented parameters or hallucinating API endpoints.
This skill acts as a bridge, allowing for the discovery of model-specific documentation and OpenAPI specifications before moving into a production-ready state. It prioritizes technical accuracy and system stability over speculative execution, making it an essential tool for developers building out complex multimedia AI pipelines on the skills.video platform.
t2i (Text-to-Image Placeholder) Use Cases
- Handling text-to-image requests when a specific provider API is not yet integrated.
- Guiding users through the transition from placeholder workflows to verified image generation skills.
- Validating model-specific openapi.json documentation before attempting live generation.
- Preventing AI agents from guessing request fields for unsupported image parameters.
How t2i (Text-to-Image Placeholder) Works
- The skill is triggered when a user requests a text-to-image generation task.
- The system identifies that the t2i skill is currently in a placeholder state and notifies the user accordingly.
- The agent searches for model-specific documentation or an openapi.json file for the requested provider.
- Parameters such as prompt, size, and aspect ratio are identified but not executed until the API contract is confirmed.
- Once the contract is verified, the workflow is promoted to a real implementation or redirected to the generic image-generation skill.
t2i (Text-to-Image Placeholder) Setup
To integrate this placeholder into your Openclaw Skills environment, ensure your local registry is updated:
# Navigate to your skills directory
cd ~/openclaw/skills
# Initialize the t2i placeholder
openclaw install t2i --template
Monitor the Current status section in the skill manifest to track when the OpenAPI contract for your specific model has been implemented.
t2i (Text-to-Image Placeholder) Data Schema & Taxonomy
The t2i skill manages a specific transitionary data structure to ensure compatibility with future Openclaw Skills updates:
| Field | Description | Requirement |
|---|---|---|
| provider_docs | Link to the provider's OpenAPI or documentation page | Mandatory for transition |
| request_template | Extracted fields from verified OpenAPI specs | Optional Placeholder |
| model_endpoint | The validated create endpoint for T2I tasks | Required for promotion |
| status_flow | Terminal status flow and polling configuration | Development only |
t2i (Text-to-Image Placeholder) Advanced Features
- Documentation Discovery: Automatically checks for provider-specific docs to prevent parameter hallucination.
- Workflow Redirection: Seamlessly hands off tasks to the image-generation skill once generic requirements are met.
- Implementation Checklist: Built-in tracking for developers to monitor API integration progress including prompt, size, and aspect ratio support.
- Cross-Skill Synergy: Integrates with i2i (image-to-image) and t2v (text-to-video) placeholder flows for unified multimedia development.
SKILL.md
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