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leprachuan
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live-canvas

Render interactive browser-based visualizations and UIs via WebSocket.

Updated Feb 4, 2026
Search Tags:#ui#dashboard#real-time#interactive#progress tracking#visualization
One-click install
npx skills add https://github.com/leprachuan/pot-o-skills --skill live-canvas
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: live-canvas
Source: https://github.com/leprachuan/pot-o-skills/tree/main/live-canvas
Command: npx skills add https://github.com/leprachuan/pot-o-skills --skill live-canvas

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires websockets, and includes assets (resource) and references (resource) and scripts (resource) components.

What problem does it solve?

This Skill provides a dynamic, visual workspace for agents, replacing static markdown outputs with interactive dashboards, progress boards, and forms that update in real-time.

Core Features & Use Cases

  • Real-time Visualizations: Display progress, metrics, charts, and data tables that update live via WebSocket.
  • Interactive User Input: Collect information through forms or get explicit approval via buttons and diagrams.
  • Use Case: When running a complex multi-step deployment, use the progress_board template to show users exactly which stage the deployment is in, updating automatically as each step completes.

Quick Start

Use the live-canvas skill to render a progress board for the current task.

Frequently Asked Questions about live-canvas

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I visualize agent progress in real-time during a multi-step deployment?▼

Yes, interactive dashboards can collect user input through forms and get explicit task approval via buttons and diagrams, replacing static markdown outputs with a dynamic visual workspace.

Do I need a WebSocket server to render interactive browser-based visualizations?▼

Yes, rendering interactive browser-based visualizations requires a WebSocket server to facilitate live data streaming and seamless agent interaction within Python and CLI runtimes.

What is the best way to display live metrics and charts for an automated workflow?▼

Displaying live metrics and charts is best handled through real-time visualizations that update dynamically via WebSocket, providing a visual workspace for agents instead of static outputs.

Can I use Python and CLI runtimes to integrate agents with a real-time UI?▼

Yes, you can integrate agents with a real-time UI using Python and CLI runtimes, which interact seamlessly with the WebSocket server to render dynamic dashboards and configuration forms.

Why use an interactive dashboard over static markdown outputs for agent tracking?▼

Using an interactive dashboard over static markdown provides a dynamic visual workspace that updates in real-time, enabling live progress tracking, metrics display, and interactive plan approval workflows.

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