A professional AI-driven design skill for managing canvases, generating high-fidelity images, and organizing creative assets within the Virse ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install virse
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 virse 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 Virse AI Design Platform?
The Virse skill empowers developers and creators to interact with the Virse AI Design Platform directly through an AI agent. This integration enables sophisticated workspace management, including canvas layout orchestration, asset organization, and high-quality image generation using advanced models like Nano Banana 2 and FLUX Kontext.
By leveraging Openclaw Skills, users can automate repetitive design tasks, trace creative workflows, and maintain complex derivation chains. The skill provides a bridge between programmatic control and creative execution, allowing for precise placement of elements and seamless asset curation across multiple design projects.
Virse AI Design Platform Use Cases
- Batch generating sets of AI images with consistent styling across multiple canvases.
- Organizing and curating design assets into searchable folders and workspaces.
- Tracing creative lineage to understand the prompt history and derivation of specific design elements.
- Automated canvas cleanup and layout optimization using grid, flow, or radial algorithms.
- Replicating product image pipelines for multi-stage visual marketing campaigns.
How Virse AI Design Platform Works
- Authentication: The agent verifies account status and CU balance using the get_account tool to ensure seamless access.
- Context Gathering: It retrieves the necessary workspace and canvas IDs to establish a persistent design environment.
- Model Selection: Based on the user's specific visual requirements, the agent selects the optimal AI model and calculates the correct aspect ratio dimensions.
- Execution: The skill invokes tools for image generation, element placement, or asset management, utilizing batch modes for high-efficiency operations.
- Verification: Post-operation, the agent inspects the canvas state to ensure layout integrity and content consistency.
Virse AI Design Platform Setup
To initialize the Virse integration within Openclaw Skills, verify your authentication status and ensure your environment is configured. Use the following commands to get started:
# Verify authentication and check credit balance
virse_call call get_account '{}'
# Perform a login if unauthorized
virse_call login
# Update the skill to the latest version
python3 ${SKILL_DIR}/scripts/check_update.py --skill-dir ${SKILL_DIR}
Virse AI Design Platform Data Schema & Taxonomy
The Virse skill organizes data through a hierarchical structure of workspaces and canvases. Each element on a canvas is tracked via specific metadata for precise retrieval and modification.
| Entity | Description | Key Identifier |
|---|---|---|
| Workspace | The top-level container for design teams and projects. | space_id |
| Canvas | The visual surface where elements and edges reside. | canvas_id |
| Asset | Files, images, and notes stored in the library. | asset_id |
| Element | Individual items on the canvas (nodes, images, text). | element_id |
| Edge | The logical connections between canvas elements. | edge_id |
Virse AI Design Platform Advanced Features
- Batch Mode Support: Reuses a single MCP session and applies auto-throttling (0.5s) to prevent rate limiting during high-volume tasks.
- Workflow Playbooks: Pre-defined logic for complex tasks like moodboard creation, variation exploration, and graph analysis.
- Node Context Expansion: Capability to fetch untruncated text content and trace upstream input sources via asset detailing.
- Intelligent Search Formulation: Automatic refinement of search queries using synonyms and abstraction to find better design references.
- Structural Cloning: Ability to read existing derivation chains and replicate the methodology for new products or themes.
SKILL.md
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