swamp-workflow

Automate YAML-defined workflow orchestration with scheduling, execution, and validation.

Updated Apr 29, 2026
One-click install
npx skills add https://github.com/alvagante/agentspulse --skill swamp-workflow-alvagante
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: swamp-workflow
Source: https://github.com/alvagante/agentspulse/tree/main/.agents/skills/swamp-workflow
Command: npx skills add https://github.com/alvagante/agentspulse --skill swamp-workflow-alvagante

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The swamp-workflow skill addresses the challenge of manually orchestrating complex workflows. It simplifies the process of defining, validating, and executing workflows with dependencies, making automation accessible for AI-native applications.

Core Features & Use Cases

  • Workflow Definition: Create workflows with YAML definitions that include jobs, steps, and dependencies.
  • Automated Execution: Run workflows automatically with scheduled triggers or manual invocation.
  • Validation: Ensure workflow correctness and prevent errors before execution.
  • Data Tracking: Keep a detailed history of workflow runs and easily inspect the results.
  • Use Case: Suppose you need to deploy an application with multiple steps, including building, testing, and deploying. Use the swamp-workflow skill to automate this process, ensuring all steps are executed in the correct order and dependencies are respected.

Quick Start

To get started with swamp-workflow, create a new workflow using the command: swamp workflow create <name> --json. Then, define the steps, jobs, and dependencies in the returned YAML file, and validate it with swamp workflow validate <name> --json. Finally, run the workflow with swamp workflow run <name>.

Frequently Asked Questions about swamp-workflow

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

FAQPage Schema
How do I automate complex workflow orchestration with YAML dependencies?

You can automate workflow orchestration by defining jobs, steps, and dependencies in a YAML file, then validating and running it to handle scheduling and execution automatically. This approach ensures complex processes respect dependency order and include error handling.

How do I define and execute scheduled workflows for automated application deployment?

You define automated application deployment workflows by creating a configuration file specifying build, test, and deploy steps with their dependencies. Execution can then be triggered manually or through scheduled automation to ensure correct step sequencing.

What is the best way to validate workflow correctness before execution?

Validating workflow correctness involves checking the YAML definitions for errors and dependency conflicts prior to execution. This pre-execution validation step prevents failures by ensuring all jobs and steps are correctly structured and scheduled.

Do I need to manually track data history for automated workflow runs?

Manual data tracking is unnecessary because the orchestration process keeps a detailed history of workflow runs. You can easily inspect the results of automated executions to verify that steps completed successfully and dependencies were respected.

Can I use YAML to define complex process dependencies for automated execution?

Yes, you can use YAML to define complex process dependencies for automated execution. YAML definitions allow you to specify jobs, steps, and validation rules, making complex automation accessible and ensuring correct scheduling.

What are the limitations of manually orchestrating complex workflows?

Manually orchestrating complex workflows often leads to missed dependencies and execution errors. Automated orchestration using YAML definitions overcomes these limitations by handling scheduling, validation, and error handling systematically.