agent-dashboard-cf

Display system metrics, activity logs, and error management for an AI agent.

2|7|Updated Jun 19, 2026
One-click install
npx skills add https://github.com/humanerd-drew/opencode-drewgent --skill agent-dashboard-cf
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-dashboard-cf
Source: https://github.com/humanerd-drew/opencode-drewgent/tree/main/skills/devops/agent-dashboard-cf
Command: npx skills add https://github.com/humanerd-drew/opencode-drewgent --skill agent-dashboard-cf

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a detailed overview of your AI agent's status, activity, and performance, enabling you to track its health, usage, and errors efficiently.

Core Features & Use Cases

  • Status Monitoring: Display the overall health and status of the agent, including CPU usage, memory, and disk space.
  • Activity Tracking: Show real-time and historical activity logs, including session details, API calls, and tool executions.
  • Error Management: Group and display errors by type, allowing for quick identification and resolution.
  • Dashboard Customization: Customize the dashboard with tabs for different views like Overview, System, Brain, and Usage.

Quick Start

Load the skill by typing 'load agent-dashboard-cf'.

Frequently Asked Questions about agent-dashboard-cf

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

FAQPage Schema
How do I monitor my AI agent's status and activity in real-time?

You can monitor an AI agent's status and activity using a dashboard that displays real-time system metrics, activity logs, and session details. It requires access to the agent's system logs and API usage data to track health and performance.

What do I need to set up an AI agent monitoring dashboard?

Setting up an AI agent monitoring dashboard requires access to the agent's system logs, API usage logs, and configuration data. These inputs enable the dashboard to display system metrics, activity tracking, and error management.

Can I track AI agent errors and group them by type for easier resolution?

Yes, AI agent error management allows you to group and display errors by type within the dashboard. This functionality helps you quickly identify recurring issues and monitor the agent's overall health and performance.

How do I customize dashboard tabs for different AI agent monitoring views?

You can customize the dashboard with tabs for different views like Overview, System, Brain, and Usage. This allows you to organize the AI agent's activity tracking, system metrics, and error management into focused, tailored screens.

Does the dashboard support visualizing AI agent CPU usage and memory metrics?

Yes, status monitoring within the dashboard displays the overall health of the AI agent, including CPU usage, memory, and disk space. It visualizes these system metrics alongside real-time activity logs and API call data.