dashboard

Start and manage a local dashboard server for AI project visualization.

24|5|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/myrtlepn/gran-maestro --skill dashboard-myrtlepn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dashboard
Source: https://github.com/myrtlepn/gran-maestro/tree/main/skills/dashboard
Command: npx skills add https://github.com/myrtlepn/gran-maestro --skill dashboard-myrtlepn

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the management and monitoring of AI projects by providing a centralized, interactive dashboard, eliminating the need to manually track workflows and agent streams.

Core Features & Use Cases

  • Dashboard Server: Starts a local web server for project visualization.
  • Project Management: Allows for the registration and management of multiple projects.
  • Real-time Monitoring: Displays workflow graphs, agent streams, and document browsers.
  • Use Case: When you need to visualize the progress of your AI agents, check their communication streams, or review project documentation, you can launch the dashboard with a simple command.

Quick Start

Start the dashboard server for the current project.

Frequently Asked Questions about dashboard

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

FAQPage Schema
How do I visualize AI agent streams and workflow graphs for my project?

You can visualize AI agent streams and workflow graphs by launching a local dashboard server. This initiates a web server that provides real-time project visualization and monitoring through a browser interface.

What is the best way to centrally manage and monitor multiple AI projects?

The best way to centrally manage multiple AI projects is by registering them with a local dashboard server. This provides a centralized hub for tracking workflows, agent streams, and documentation across all registered projects.

How do I start and stop a local dashboard server for project monitoring?

You can start, stop, and restart a local dashboard server using simple commands. The server supports customizable ports and provides real-time feedback through API endpoints during execution.

Does the AI project dashboard require Deno to run?

Yes, the dashboard integrates with Deno for runtime execution. Deno is required to launch and manage the local server that delivers project visualization and monitoring capabilities.

Can I customize the port when launching a project visualization dashboard?

Yes, you can customize the port when launching the project visualization dashboard. The server supports customizable port configurations to accommodate your local environment setup.