Which task runners does this skill support?

It includes comprehensive patterns for Celery, ARQ (Redis-based async), and Temporal.io for durable, long-running workflows.

Can I use this for FastAPI background tasks?

Absolutely. The skill includes specific ARQ and FastAPI integration patterns designed for modern asynchronous Python web applications.

Does it provide error handling and retry logic?

Yes, it covers exponential backoff, jitter, dead letter queues (DLQ), and idempotency keys to ensure tasks fail gracefully and retry safely.

How does it handle complex task dependencies?

It utilizes Celery Canvas primitives like chains, chords, and groups, as well as Temporal's deterministic workflow definitions for sophisticated orchestration.

Does it include monitoring recommendations?

Yes, it provides patterns for Flower dashboards, custom Prometheus metrics via signals, and health check endpoints for production observability.

Async Job Orchestration

Name: Async Job Orchestration
Author: yonatangross

byyonatangross

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116

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Productivity & Workflow

Implements robust background task processing using Celery, ARQ, and Temporal patterns for reliable distributed execution.

This skill provides production-ready patterns for managing asynchronous tasks and background workflows in Python and distributed environments. It covers everything from basic Celery configuration and Redis-backed task queues to complex Temporal workflows, retry strategies with exponential backoff, and task routing. Whether you are building a simple mailer queue or a complex multi-step data processing pipeline, this skill ensures your background jobs are idempotent, monitorable, and resilient to failure by applying industry-standard best practices for task serialization, worker tuning, and result handling.

Key Features

01Real-time monitoring and health check implementations

02116 GitHub stars

03Production-grade Celery and ARQ configuration patterns

04Task routing and priority queue management

05Complex workflow orchestration using Canvas and Temporal

06Advanced retry strategies with exponential backoff and jitter

Use Cases

01Implementing durable, multi-step business transactions using the Saga pattern

02Processing long-running data transformations outside the request-response cycle

03Scheduling recurring maintenance tasks and periodic reports with Celery Beat

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit async-jobs

For use in Claude.ai and ChatGPT

Download Skill