django-async

Name: django-async
Availability: InStock
Author: Orbitant

Orchestrate async Celery tasks with Django Channels and WebSocket progress updates.

1|Updated Apr 13, 2026

Search Tags:#channels #async #django #websocket #celery #background-tasks #task-processing

Ready to run

npx skills add https://github.com/weorbitant/compound-engineering-feat-python-plugin --skill django-async

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Please help me install this Agent Skill.
Skill: django-async
Source: https://github.com/weorbitant/compound-engineering-feat-python-plugin/tree/main/skills/django-async
Command: npx skills add https://github.com/weorbitant/compound-engineering-feat-python-plugin --skill django-async

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Django projects often need to run long-running tasks and relay real-time updates to clients, and this skill shows how to coordinate Celery with Django Channels to deliver asynchronous processing and live feedback.

Core Features & Use Cases

Celery-based background task execution with retries and result storage.
Django Channels integration for WebSocket communications, consumers, and routing.
End-to-end workflows that combine task orchestration with live progress updates to users.

Quick Start

Set up Celery and Channels in your Django project and wire a sample task to a WebSocket consumer to start processing asynchronously.

Frequently Asked Questions about django-async

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

FAQPage Schema

How do I coordinate Celery tasks with Django Channels for live WebSocket progress updates?▼

To coordinate Celery tasks with Django Channels, you wire background task execution to WebSocket consumers. This setup enables asynchronous processing while relaying live progress feedback to connected clients in real time.

What is the best way to send real-time updates from a background task to a Django WebSocket consumer?▼

The best way to send real-time updates is using Django Channels' channel layers. They bridge Celery task orchestration and WebSocket consumers, allowing background tasks to push live progress notifications directly to users.

How do I configure Celery beat scheduling alongside Django Channels and channel layers?▼

Configuring Celery beat scheduling with Django Channels involves setting up beat schedules for periodic task execution and configuring channel layers to route WebSocket communications across your development and production environments.

Can I use Django Channels and Celery together for both task processing and WebSocket communications?▼

Yes, you can use Django Channels and Celery together to handle both asynchronous background task processing and WebSocket communications. This integration covers consumer design, task retries, and result storage for end-to-end workflows.

Do I need Celery and Django Channels to run long-running tasks with live feedback in a Django app?▼

You need Celery for background task execution and Django Channels for WebSocket communications to achieve live feedback. Combining them solves the problem of running long-running tasks while providing real-time updates to Django app users.

Why does my Django Channels consumer not receive updates from my Celery background task?▼

If your Django Channels consumer does not receive Celery task updates, it is likely due to misconfigured channel layers or consumer routing. Properly wiring task definitions to the WebSocket consumer ensures live progress patterns work.