dvcrn Claw Canvas Skill
Description
This skill wraps OpenClaw's native canvas tool to provide a dedicated, interactive surface for the agent to visualize its internal processes, display intermediate results, and output rich content directly on a virtual canvas. It enables a more transparent and intuitive development workflow by making the agent's thinking and work-in-progress visible.
Core Functionalities
- Render Markdown/HTML: Display formatted text, code, tables, and images.
- Visualize Data: Present charts, graphs, or structured data.
- Show Progress: Update the canvas with real-time progress of tasks.
- Interactive Thinking: Optionally display thought processes or decision trees.
- Snapshot: Capture the current state of the canvas.
Usage
This is primarily an internal skill for the agent to use to illustrate its workflow. It will expose a CLI interface for displaying content.
# Example: Display markdown content
python3 scripts/canvas_cli.py display_markdown --content "# Agent Thinking\n\nHere's my current thought process..."
# Example: Display an image
python3 scripts/canvas_cli.py display_image --url "https://example.com/image.png"
Purpose
To enhance transparency, improve user understanding of complex agent processes, and provide a dynamic, real-time output area for development tasks. This will be invaluable for tasks like:
- Visualizing website structure during the Mac App conversion.
- Displaying drafted blog posts or tweets with formatting.
- Showing data analysis results.
- Illustrating program flow or architectural decisions.