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.