Can I force a task to run immediately even if I'm active?

Yes, you can use the --force flag when adding a job or the 'qm force ' command to start a pending task immediately regardless of activity state.

Where can I view the output of my background tasks?

You can view logs directly in the terminal using 'qm logs ' or via the web dashboard available at http://127.0.0.1:8742 when the service is running.

Is this skill compatible with macOS or Linux?

Currently, this skill is specifically designed for Windows as it relies on Windows-specific APIs for idle detection and process priority classes.

Does the service need to be running to add jobs?

Yes, the background service must be started using 'qm start' before you can add or process jobs in the queue.

How does the skill detect when I am idle?

The skill uses the Windows API to monitor system-wide user activity. After 5 minutes of no input, it automatically increases the priority of queued tasks.

Idle Background Task Queue

Name: Idle Background Task Queue
Author: theflysurfer

bytheflysurfer

Productivity & Workflow

Manages and schedules resource-intensive background tasks to run at low priority during active use and full speed when idle.

About

This skill provides a robust framework for handling long-running operations like video transcoding, batch API processing, and heavy data exports without compromising system responsiveness. It utilizes an intelligent priority management system that automatically throttles task execution when the user is active and boosts performance after five minutes of inactivity. Designed specifically for Windows, it ensures your PC remains usable and responsive while processing complex, time-consuming jobs in the background through a dedicated CLI or REST API.

Key Features

Intelligent idle detection with automatic CPU/IO priority switching
Unified CLI (qm) for adding, listing, and managing background jobs
Real-time log streaming and detailed execution history
0 GitHub stars
Local REST API and web dashboard for remote job monitoring
Throttled execution to prevent system lag during active work sessions

Use Cases

Scheduling intensive data processing or machine learning model training for idle periods
Queuing heavy FFmpeg video transcoding jobs without impacting daily workflows
Running massive batch API calls or web scraping scripts overnight

About

Key Features

Intelligent idle detection with automatic CPU/IO priority switching
Unified CLI (qm) for adding, listing, and managing background jobs
Real-time log streaming and detailed execution history
0 GitHub stars
Local REST API and web dashboard for remote job monitoring
Throttled execution to prevent system lag during active work sessions

Use Cases

Scheduling intensive data processing or machine learning model training for idle periods
Queuing heavy FFmpeg video transcoding jobs without impacting daily workflows
Running massive batch API calls or web scraping scripts overnight