canvas-render

What problem does it solve?

This Skill enables AI agents to dynamically generate and update canvas visualizations based on runtime coordination artifacts, replacing static, hardcoded projection logic with intelligent, agent-driven insights.

Core Features & Use Cases

• Dynamic Visualization: Renders complex diagrams and data representations directly from agent activity logs and state.
• Agent-Driven Layout: LLM agents decide on layout, Level of Detail (LOD), and emphasis for visualizations.
• Real-time Data Integration: Reads from various runtime artifacts like scheduler state, feedback packets, and evidence logs.
• Use Case: Visualize the flow of coordination between multiple AI agents, highlighting pending decisions, running tasks, and completed actions in real-time, allowing for better oversight and faster intervention.

Quick Start

Use the canvas-render skill to visualize the current scheduler state.