productivity-view

Stream live fleet productivity data from Fleet Nerve APIs on port 8855.

2|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/supportersimulator/multi-fleet --skill productivity-view
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: productivity-view
Source: https://github.com/supportersimulator/multi-fleet/tree/main/skills/productivity-view
Command: npx skills add https://github.com/supportersimulator/multi-fleet --skill productivity-view

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Real-time visibility into fleet-wide activity by streaming live state from all nodes and agents, replacing guesswork with actionable insight.

Core Features & Use Cases

  • Live node and agent status overview across the fleet
  • Real-time workflow and backlog visibility to optimize throughput
  • Cross-machine coordination insights for faster incident response

Quick Start

Start the dashboard by initiating the fleet dashboard loop to render a live view of all nodes and tasks.

Frequently Asked Questions about productivity-view

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

FAQPage Schema
How do I monitor real-time fleet productivity across all machines?

You can monitor fleet productivity by streaming live state data from all nodes and agents into a centralized dashboard. This provides real-time visibility into ongoing work and agent activity across the entire fleet.

Can I track agent activity and work items across multiple nodes?

Yes, tracking agent activity is handled by aggregating per-node state, work items, and agent outputs. This cross-machine coordination insight allows you to monitor ongoing workflows and optimize overall throughput.

Do I need specific API access to render a real-time dashboard?

You need access to the Fleet Nerve APIs exposed on port 8855 to render the dashboard. This connection is required to stream live productivity data and aggregate the state from all machines.

What is the best way to coordinate cross-machine tasks for faster incident response?

Coordinating cross-machine tasks is best achieved by initiating the fleet dashboard loop to render a live view. This replaces guesswork with actionable insight into node status and workflow backlogs.

Why does monitoring node status help optimize throughput?

Monitoring node status provides real-time workflow and backlog visibility across the fleet. By tracking live agent activity and ongoing work, you can identify bottlenecks and optimize throughput.

Are there limitations when streaming live state data from all nodes?

The primary limitation is the dependency on the Fleet Nerve APIs on port 8855, which must be accessible to aggregate per-node state and render the dashboard effectively.