Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
A virtual canvas for OpenClaw to output content and visualize its thinking during development.
A virtual canvas for OpenClaw to output content and visualize its thinking during development.
This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.
Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required.
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need.
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.
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.
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"
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.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.