How do I handle task failures in a workflow?

The skill includes patterns for retry policies, exponential backoff, and 'continueOn' failure settings to ensure workflow resilience.

Dagu is a developer-friendly, lightweight workflow engine that allows you to define and execute complex task sequences using YAML.

Can I trigger notifications when a workflow completes?

Yes, it covers mail executors and success/failure handlers to send automated notifications and alerts based on workflow status.

Can Dagu run tasks in parallel?

Absolutely. By defining steps without mutual dependencies, Dagu executes them in parallel, and the skill shows you how to manage these dependencies.

Does this skill support Docker containers?

Yes, it provides detailed patterns for the Docker executor, including image selection, volume mounting, and environment configuration.

Dagu Workflow Authoring

Name: Dagu Workflow Authoring
Author: vinnie357

byvinnie357

Despliegue y DevOps

Streamlines the creation and management of complex Dagu workflow definitions using YAML syntax and multi-executor support.

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The Dagu Workflow Authoring skill enables Claude to expertly architect, write, and debug Dagu workflow configurations. It provides domain-specific knowledge for defining steps, managing dependencies, and configuring specialized executors like Docker, SSH, HTTP, and JQ. This skill is ideal for developers and DevOps engineers looking to automate recurring tasks, build robust ETL pipelines, or manage hierarchical deployment workflows with advanced error handling, retries, and cron-based scheduling.

Características Principales

Robust error handling with retry policies and backoff
YAML-based workflow generation and validation
Automated scheduling configuration using Cron syntax
Advanced dependency mapping and parallel task execution
Support for multi-platform executors (Docker, SSH, HTTP, JQ)
0 GitHub stars

Casos de Uso

Managing multi-environment application deployments via SSH and Docker
Building automated ETL pipelines for data extraction and transformation
Setting up automated database backup and maintenance routines

Acerca de

Características Principales

Robust error handling with retry policies and backoff
YAML-based workflow generation and validation
Automated scheduling configuration using Cron syntax
Advanced dependency mapping and parallel task execution
Support for multi-platform executors (Docker, SSH, HTTP, JQ)
0 GitHub stars

Casos de Uso

Managing multi-environment application deployments via SSH and Docker
Building automated ETL pipelines for data extraction and transformation
Setting up automated database backup and maintenance routines