swamp-workflow

Manage Swamp workflows for defining, validating, and executing job sequences.

530|41|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/systeminit/swamp --skill swamp-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: swamp-workflow
Source: https://github.com/systeminit/swamp/tree/main/.claude/skills/swamp-workflow
Command: npx skills add https://github.com/systeminit/swamp --skill swamp-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the creation, validation, and execution of complex automation workflows, enabling AI agents to manage intricate operational tasks reliably.

Core Features & Use Cases

  • Workflow Definition: Define multi-step jobs with dependencies using YAML.
  • Validation & Execution: Validate workflow DAGs and execute them with robust error handling and logging.
  • Use Case: Automate your cloud infrastructure deployment by defining a workflow that first provisions a VPC, then launches EC2 instances, and finally configures load balancers, ensuring each step completes successfully before the next begins.

Quick Start

Use the swamp workflow skill to create a new workflow named 'my-app-deploy'.

Frequently Asked Questions about swamp-workflow

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

FAQPage Schema
How do I define an automation workflow with dependencies using YAML?

You can define automation workflows with dependencies using YAML by creating multi-step jobs that specify execution order. The Skill scaffolds the YAML structure, allowing you to configure sequences where steps rely on the successful completion of previous ones.

What is DAG validation for CI/CD workflows and why is it needed?

DAG validation for CI/CD workflows ensures the directed acyclic graph of job steps has no circular dependencies or structural errors. It is needed to guarantee that complex automation sequences execute reliably and in the correct order before runtime.

Can I inspect logs and data artifacts from a previous workflow run?

Yes, you can inspect logs and data artifacts from a previous workflow run. The Skill provides detailed run history inspection, allowing you to review execution logs and retrieve artifacts generated during the workflow's step-by-step processing.

Does this workflow orchestration tool support cloud infrastructure deployment?

Yes, the workflow orchestration tool supports cloud infrastructure deployment. You can define a workflow to provision a VPC, launch EC2 instances, and configure load balancers, ensuring each deployment step completes successfully before the next begins.

What's the best way to manage complex job sequences for AI agents?

The best way to manage complex job sequences for AI agents is to use a workflow orchestration tool that supports schema retrieval, DAG validation, and robust error handling. This allows AI agents to reliably define, validate, and execute intricate operational tasks.

Why does my workflow execution fail validation before running?

Workflow execution fails validation before running if the defined job and step sequences contain errors or if the DAG integrity check identifies circular dependencies. The Skill validates your YAML against the schema to prevent runtime failures.