no-polling-agents

Manage background agent execution using status files for completion signaling.

8|1|Updated Jan 4, 2026
One-click install
npx skills add https://github.com/scooter-lacroix/Maestro --skill no-polling-agents
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: no-polling-agents
Source: https://github.com/scooter-lacroix/Maestro/tree/main/maestro/skills/no-polling-agents
Command: npx skills add https://github.com/scooter-lacroix/Maestro --skill no-polling-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents inefficient polling loops when managing background agents, optimizing resource usage and preventing unnecessary token consumption.

Core Features & Use Cases

  • Asynchronous Task Management: Launches background agents that signal completion via status files rather than constant checking.
  • Resource Optimization: Avoids wasting AI tokens and processing time on repetitive status checks.
  • Use Case: When multiple agents are running in parallel for tasks like code generation or analysis, this Skill ensures the system waits for their completion signals without active polling, freeing up the AI for other operations.

Quick Start

Launch background agents using run_in_background: true and check their status files only when necessary.

Frequently Asked Questions about no-polling-agents

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

FAQPage Schema
How do I manage background agents without wasting tokens on polling loops?

Manage background agents without polling loops by utilizing status files for completion signaling. This approach avoids inefficient status checks, optimizing resource utilization and preventing unnecessary token consumption during parallel agent processing.

What is the best way to run asynchronous tasks and check agent status efficiently?

The best way to run asynchronous tasks is launching background agents with status files for completion signaling. You check their status files only when necessary, ensuring non-blocking agent monitoring and optimized resource utilization.

Why does continuous status checking hurt performance during parallel agent processing?

Continuous status checking hurts performance during parallel agent processing because it creates inefficient polling loops. These loops waste AI tokens and processing time on repetitive checks, detracting from other operations and degrading system efficiency.

Can I use status files to monitor parallel code generation agents?

Yes, you can use status files to monitor parallel code generation agents. This Skill manages background execution by having agents signal completion via files, which is applicable for scenarios requiring parallel processing without active polling.

When should I avoid polling loops for background task management?

You should avoid polling loops for background task management whenever multiple agents are running in parallel. Active polling is detrimental to performance and token efficiency, making status files the preferred mechanism for non-blocking monitoring.