What is the primary purpose of the Dagu Web UI skill?

It provides specialized guidance for using the Dagu browser interface to manage, monitor, and troubleshoot workflows and task dependencies.

Can I restart failed workflows using this skill?

Yes, the skill includes procedures for locating failed runs in the execution history and triggering retries or restarts through the interface.

Does this skill help with debugging?

Absolutely. It guides you through accessing detailed stdout/stderr logs for specific steps and identifying failure points within the DAG visualization.

How do I access the Dagu Web UI?

After starting the Dagu server with 'dagu server', the interface is typically accessible at http://localhost:8080 by default.

Can I manage workflow schedules via the UI?

Yes, the skill covers configuring and verifying workflow schedules to ensure automated tasks run at the intended intervals.

Dagu Web UI Manager

Name: Dagu Web UI Manager
Author: vinnie357

byvinnie357

Despliegue y DevOps

Manages, monitors, and executes complex workflows through the Dagu browser interface with real-time visibility.

Acerca de

This skill provides specialized guidance for navigating and utilizing the Dagu Web UI to oversee automated tasks and scheduled jobs. It enables developers to start or stop workflows, monitor real-time execution logs, visualize Directed Acyclic Graphs (DAGs), and troubleshoot failures directly through the browser. By integrating this skill into Claude Code, users can efficiently manage workflow lifecycles, configure complex schedules, and analyze historical execution data without relying solely on command-line operations.

Características Principales

Visual Directed Acyclic Graph (DAG) structure representation
0 GitHub stars
Comprehensive execution history with status filtering and analysis
Workflow lifecycle management including start, stop, and retry actions
Real-time execution status and live log monitoring
UI-based workflow schedule and cron configuration

Casos de Uso

Troubleshooting failed workflow steps using integrated stdout and stderr logs
Managing and monitoring automated cron-style tasks via a centralized web dashboard
Visualizing complex task dependencies within a DAG to optimize execution flow

Acerca de

Características Principales

Visual Directed Acyclic Graph (DAG) structure representation
0 GitHub stars
Comprehensive execution history with status filtering and analysis
Workflow lifecycle management including start, stop, and retry actions
Real-time execution status and live log monitoring
UI-based workflow schedule and cron configuration

Casos de Uso

Troubleshooting failed workflow steps using integrated stdout and stderr logs
Managing and monitoring automated cron-style tasks via a centralized web dashboard
Visualizing complex task dependencies within a DAG to optimize execution flow