workflow-orchestrator

Orchestrate scheduled and event-driven workflows across Airflow, Celery, and Cron.

2|Updated Feb 3, 2026

Search Tags:#airflow #workflows #idempotency #cron #retries #orchestrate #celery

Ready to run

npx skills add https://github.com/k1lgor/virtual-company --skill workflow-orchestrator-k1lgor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: workflow-orchestrator
Source: https://github.com/k1lgor/virtual-company/tree/main/skills/24-workflow-orchestrator
Command: npx skills add https://github.com/k1lgor/virtual-company --skill workflow-orchestrator-k1lgor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design a structured approach for building and managing reliable, scheduled, and event-driven workflows across modern orchestration tools such as Airflow, Prefect, Temporal, Cron, and Celery.

Core Features & Use Cases

DAG design and task orchestration across multiple schedulers for complex pipelines.
Built-in reliability through retries with backoff, idempotency, alerting, and failure recovery.
Use cases include data pipelines, scheduled maintenance jobs, and event-driven automation across services.

Quick Start

Design and deploy your first end-to-end workflow by modeling a daily data pipeline that extracts, transforms, and loads data using your preferred orchestrator.

Frequently Asked Questions about workflow-orchestrator

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

FAQPage Schema

How do I design reliable Airflow DAGs with retries and idempotency for data pipelines?▼

This approach structures scheduled workflows with built-in retries, backoff strategies, and idempotency checks to ensure data pipeline resilience. It handles failure recovery automatically and prevents duplicate side effects during task reruns.

What is the best way to orchestrate event-driven workflows across Airflow and Celery?▼

Orchestrating event-driven workflows across Airflow and Celery requires modeling tasks as idempotent units within a DAG structure. This enables reliable background job processing and multi-tool integration across distributed services.

Can I use this approach for scheduled maintenance tasks and cron jobs?▼

Yes, this approach supports scheduled maintenance tasks and cron jobs by applying orchestration principles like alerting and failure recovery. It transforms simple cron scripts into reliable, monitored workflows with automatic retry mechanisms.

How do I handle failure recovery and alerting in complex data pipelines?▼

Handle failure recovery and alerting in complex data pipelines by configuring retries with exponential backoff and integrating alert notifications. This ensures transient failures trigger automatic recovery attempts before escalating alerts.

Does this workflow orchestration approach work with multiple schedulers like Prefect and Temporal?▼

Yes, this workflow orchestration approach works across multiple schedulers like Prefect, Temporal, Airflow, and Celery. It provides a structured methodology for designing reliable workflows independent of the specific orchestration tool chosen.

When should I not use a full orchestrator like Airflow for background job processing?▼

You should avoid using a full orchestrator like Airflow when background job processing lacks complex DAG dependencies or scheduled triggers. Simple, isolated tasks without idempotency requirements may be over-engineered by heavy orchestration tools.