Gojiberry AI
AI agents that find and contact high-intent leads for you
Try Gojiberry free →
Hermes Agent
Run your Hermes agent, fully managed
Launch on Hostinger →
Hostinger VPS
Spin up a VPS in one click, 20% off
Launch on Hostinger →
Firecrawl
Crawl and scrape any site into clean data
Try Firecrawl free →
Runable
One AI agent to build, run, and grow your business
Try Runable free →
Context.dev
One API to scrape, enrich, and extract the web
Start building free →
Jotform
Forms, workflows, and AI Agents for your team
Try Jotform free →
Runable
One AI agent to build, run, and grow your business
Try Runable free →
OpenClaw
Deploy a managed OpenClaw agent in 60 seconds
Launch on Hostinger →
Sponsor here
9/10 sponsor slots taken — 1 left
Claim it →
Claude Market
Menu
SkillsMCPPluginsMarketplacesNewsletterSubmit MCPSkillPluginMCPMCP, plugin, or skillAdvertise
Claude Market
SkillsMCPPluginsMarketplacesNewsletterSubmit MCPSkillPluginMCPMCP, plugin, or skillAdvertise
Skills/vintasoftware/django-ai-plugins/django-celery-expert
django-celery-expert logo

django-celery-expert

vintasoftware/django-ai-plugins
671 installs84 stars
Run it on Hostinger, 20% off →Your friend gets 20% off too, using this linkFree API →|View on GitHub|Create your own skill →

Installation

npx skills add https://github.com/vintasoftware/django-ai-plugins --skill django-celery-expert

Summary

Expert Django Celery guidance for asynchronous task processing. Use when designing background tasks, configuring Celery workers, handling task retries and errors, optimizing Celery performance, implementing periodic tasks with Celery Beat, or setting up production monitoring for Celery. Do not use for general Django questions unrelated to Celery, non-Celery task systems (Django Q, Huey, RQ), ML/data pipeline orchestration (Airflow, Prefect), or frontend and API-only concerns. Follows Vinta's Django Celery best practices.

SKILL.md

Django Celery Expert

Instructions

Step 1: Classify the Request

Identify the task category from the request:

  • Django integration — transaction safety, ORM patterns, testing, request correlation → read references/django-integration.md
  • Task design — new tasks, calling patterns, chains/groups/chords, idempotency → read references/task-design-patterns.md
  • Configuration — broker setup, result backend, worker settings, queue routing → read references/configuration-guide.md
  • Error handling — retries, backoff, dead letter queues, timeouts → read references/error-handling.md
  • Periodic tasks — Celery Beat, crontab schedules, dynamic schedules, timezone handling → read references/periodic-tasks.md
  • Monitoring — Flower, Prometheus, logging, debugging stuck tasks → read references/monitoring-observability.md
  • Production deployment — scaling, supervision, containers, health checks → read references/production-deployment.md

If the request spans multiple categories, read all relevant reference files before continuing.

Step 2: Read the Reference File(s)

Read each reference file identified in Step 1. Do not proceed to implementation without reading the relevant reference.

Step 3: Implement

Apply the patterns from the reference file. Before presenting the solution, verify:

  • Task arguments are serializable (pass IDs, not model instances)
  • Tasks with retries enabled are idempotent
  • Errors are logged with context
  • Long-running tasks have timeouts configured

Examples

Basic Background Task

Request: "Send welcome emails in the background after user registration"

# tasks.py
from celery import shared_task
from django.core.mail import send_mail

@shared_task(bind=True, max_retries=3)
def send_welcome_email(self, user_id):
    from users.models import User

    try:
        user = User.objects.get(id=user_id)
        send_mail(
            subject="Welcome!",
            message=f"Hi {user.name}, welcome to our platform!",
            from_email="noreply@example.com",
            recipient_list=[user.email],
        )
    except User.DoesNotExist:
        pass
    except Exception as exc:
        raise self.retry(exc=exc, countdown=60 * (2 ** self.request.retries))


# views.py — queue only after the transaction commits
from django.db import transaction

def register(request):
    user = User.objects.create(...)
    transaction.on_commit(lambda: send_welcome_email.delay(user.id))
    return redirect("dashboard")

Task with Progress Tracking

Request: "Process a large CSV import with progress updates"

@shared_task(bind=True)
def import_csv(self, file_path, total_rows):
    from myapp.models import Record

    with open(file_path) as f:
        reader = csv.DictReader(f)
        for i, row in enumerate(reader):
            Record.objects.create(**row)
            if i % 100 == 0:
                self.update_state(
                    state="PROGRESS",
                    meta={"current": i, "total": total_rows},
                )

    return {"status": "complete", "processed": total_rows}


# Poll progress
result = import_csv.AsyncResult(task_id)
if result.state == "PROGRESS":
    progress = result.info.get("current", 0) / result.info.get("total", 1)

Workflow with Chains

Request: "Process an order: validate inventory, charge payment, then send confirmation"

from celery import chain

@shared_task
def validate_inventory(order_id):
    order = Order.objects.get(id=order_id)
    if not order.items_in_stock():
        raise ValueError("Items out of stock")
    return order_id

@shared_task
def charge_payment(order_id):
    order = Order.objects.get(id=order_id)
    order.charge()
    return order_id

@shared_task
def send_confirmation(order_id):
    Order.objects.get(id=order_id).send_confirmation_email()

def process_order(order_id):
    chain(
        validate_inventory.s(order_id),
        charge_payment.s(),
        send_confirmation.s(),
    ).delay()

Score

0–100
63/ 100

Grade

C

Popularity15/30

671 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Django Celery Expert skill score badge previewScore badge

Markdown

[![Django Celery Expert skill](https://www.claudemarket.ai/skills/vintasoftware/django-ai-plugins/django-celery-expert/badges/score.svg)](https://www.claudemarket.ai/skills/vintasoftware/django-ai-plugins/django-celery-expert)

HTML

<a href="https://www.claudemarket.ai/skills/vintasoftware/django-ai-plugins/django-celery-expert"><img src="https://www.claudemarket.ai/skills/vintasoftware/django-ai-plugins/django-celery-expert/badges/score.svg" alt="Django Celery Expert skill"/></a>

Django Celery Expert FAQ

How do I install the Django Celery Expert skill?

Run “npx skills add https://github.com/vintasoftware/django-ai-plugins --skill django-celery-expert” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Django Celery Expert skill do?

Expert Django Celery guidance for asynchronous task processing. Use when designing background tasks, configuring Celery workers, handling task retries and errors, optimizing Celery performance, implementing periodic tasks with Celery Beat, or setting up production monitoring for Celery. Do not use for general Django questions unrelated to Celery, non-Celery task systems (Django Q, Huey, RQ), ML/data pipeline orchestration (Airflow, Prefect), or frontend and API-only concerns. Follows Vinta's Django Celery best practices. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Django Celery Expert skill free?

Yes. Django Celery Expert is a free, open-source skill published from vintasoftware/django-ai-plugins. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Django Celery Expert work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Django Celery Expert works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

Recommended skills

Browse all →
find-skills logo

find-skills

vercel-labs/skills

2.9M installsInstall
grill-me logo

grill-me

mattpocock/skills

816K installsInstall
frontend-design logo

frontend-design

anthropics/skills

761K installsInstall
grill-with-docs logo

grill-with-docs

mattpocock/skills

695K installsInstall
improve-codebase-architecture logo

improve-codebase-architecture

mattpocock/skills

670K installsInstall
agent-browser logo

agent-browser

vercel-labs/agent-browser

651K installsInstall

Related guides

Hand-picked reading to help you choose, install, and use agent skills.

Guide10 Openclaw Skills Every Nextjs Developer NeedsGuideBest Openclaw Skills 2026GuideHow To Evaluate Openclaw Skill Before Installing

Skills by category

FrontendBackend & APIsTesting & QASecurityDevOps & CI/CDMCP & ToolingAutomationData & Analysis+27 more

MCP servers by category

MCP & ToolingBackend & APIsData & AnalysisDevOps & CI/CDAutomationSecurityDocsTesting & QA+24 more

Plugins by category

AutomationDevOps & CI/CDData & AnalysisDesign & CreativeSecurityBackend & APIsFrontendTesting & QA+16 more

Marketplaces by category

AutomationData & AnalysisDevOps & CI/CDDesign & CreativeFrontendBackend & APIsTesting & QASecurity+21 more

The Agent Stack

Weekly Claude Code, Agent SDK, and MCP moves worth your time — free.

Claude Market

AI agent skills directory, marketplace, and workflow hub for OpenClaw, Hermes Agent, Claude Code, Codex, and MCP-powered operator stacks.

Independent project, not affiliated with Anthropic.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Plugins
  • Browse Marketplaces
  • Newsletter

More

  • Submit a Tool
  • Create a Skill
  • Advertise
  • Free Tools
  • API
  • Shipping
  • Contact
  • Terms
  • Privacy
© 2026 Claude Market · Not affiliated with Anthropic
Fazier badgeFeatured on Twelve ToolsFeatured on Wired BusinessRemote OpenClaw - Featured on AI Agents DirectoryListed on Turbo0Featured on Uneed