---
title: "Create and debug local-first declarative workflow jobs with Dagu"
description: "Use Dagu to define file-backed workflow jobs in YAML, run them locally or across workers, and inspect failures through a lightweight operator surface instead of a heavyweight orchestrator."
verification: "security_reviewed"
source: "https://github.com/dagucloud/dagu"
author: "Dagu Cloud"
publisher_type: "organization"
category:
  - "Templates & Workflows"
framework:
  - "Custom Agents"
tool_ecosystem:
  github_repo: "dagucloud/dagu"
  github_stars: 3303
---

# Create and debug local-first declarative workflow jobs with Dagu

Use Dagu to define file-backed workflow jobs in YAML, run them locally or across workers, and inspect failures through a lightweight operator surface instead of a heavyweight orchestrator.

## Prerequisites

Dagu binary or Docker, YAML workflow files, optional web UI access

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
Quick start: install or run Dagu, define a workflow in YAML, then start the server or run jobs with the Dagu CLI. Docker and single-binary deployment are both documented at docs.dagu.sh.
```

## Documentation

- https://docs.dagu.sh/oss

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/create-and-debug-local-first-declarative-workflow-jobs-with-dagu/)