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monitor

Generate a real-time ASCII dashboard of AI agent session status and activity.

1|Updated Jun 26, 2025
Search Tags:#monitoring#dashboard#real-time#performance metrics#task tracking#agent status
One-click install
npx skills add https://github.com/intrale/platform --skill monitor-intrale
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: monitor
Source: https://github.com/intrale/platform/tree/main/.claude/skills/monitor
Command: npx skills add https://github.com/intrale/platform --skill monitor-intrale

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a real-time, comprehensive overview of all active AI agent sessions, their status, resource usage, and task progress, enabling efficient monitoring and management of AI operations.

Core Features & Use Cases

  • Live Session Monitoring: Track the status (active, idle, stale, done) and liveness of all parent AI sessions.
  • Execution & Task Tracking: Visualize sprint progress, individual task status with sub-steps, and ad-hoc prompt execution.
  • Resource & Performance Metrics: Display action counts, duration, estimated costs, and agent-specific performance data.
  • Use Case: A team lead can use this Skill at the start of the day to quickly assess which agents are working on what, identify any stalled sessions, and understand the overall progress of ongoing sprints.

Quick Start

Run the monitor skill to see a full dashboard of all active agent sessions and their current status.

Frequently Asked Questions about monitor

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

FAQPage Schema
How do I monitor multiple AI agent sessions in real-time?▼

You can monitor AI agent sessions in real-time by running a dashboard skill that aggregates session states, task lists, and performance metrics into a unified ASCII view of system operations.

What is the best way to track sprint execution progress across AI agents?▼

Tracking sprint execution progress across AI agents is done by visualizing individual task status, sub-steps, and ad-hoc prompt execution within a real-time dashboard that aggregates session states and task lists.

Can I view Git information and CI/CD pipeline status alongside agent activity metrics?▼

Yes, you can view Git information and CI/CD pipeline status alongside agent activity metrics because the dashboard aggregates data from session states, task lists, Git, CI/CD pipelines, and metric files for a unified view.

How do I identify stalled or idle AI agent sessions?▼

You identify stalled or idle AI agent sessions by viewing live session monitoring data that categorizes session liveness as active, idle, stale, or done within a real-time dashboard.

Does this real-time monitoring dashboard display agent performance and cost metrics?▼

Yes, the real-time monitoring dashboard displays agent performance metrics, including action counts, duration, estimated costs, and agent-specific performance data aggregated from various metric files.

What format does the AI agent activity dashboard use to visualize system operations?▼

The AI agent activity dashboard uses a real-time ASCII format to visualize system operations, providing a unified view of session liveness, sprint execution progress, and recent activity logs.

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