Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Claw Canvas
A virtual canvas for OpenClaw to output content and visualize its thinking during development.
skill openclawclawhub Free
A virtual canvas for OpenClaw to output content and visualize its thinking during development.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json, scripts/canvas_cli.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- RuneweaverStudios
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts1 Config
- SKILL.md
- scripts/canvas_cli.py
- _meta.json