dag-orchestration

Orchestrate directed acyclic graph workflows with topological sorting and atomic checkpointing.

1|Updated May 21, 2026
One-click install
npx skills add https://github.com/hiddink-ai/hiddink-harness --skill dag-orchestration-hiddink-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dag-orchestration
Source: https://github.com/hiddink-ai/hiddink-harness/tree/main/templates/skills/dag-orchestration
Command: npx skills add https://github.com/hiddink-ai/hiddink-harness --skill dag-orchestration-hiddink-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the challenge of managing complex, multi-step tasks that require coordination between different AI agents, ensuring dependencies are respected and failures are handled gracefully.

Core Features & Use Cases

  • Topological Execution: Automatically sequences tasks based on dependency graphs to ensure correct execution order.
  • Failure Strategies: Provides configurable strategies like stop, skip, or retry to maintain workflow integrity during node failures.
  • Use Case: Use this to automate a full feature implementation pipeline that requires code analysis, implementation, testing, review, and documentation generation across multiple specialized agents.

Quick Start

Execute the dag-orchestration skill to run the feature-implementation workflow defined in the project configuration.

Frequently Asked Questions about dag-orchestration

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

FAQPage Schema
How do I coordinate multiple AI agents in a complex workflow?

Multi-agent workflow coordination is managed by orchestrating directed acyclic graph (DAG) workflows, ensuring task dependencies are respected and parallel execution is handled across specialized agents.

How does topological sorting manage task dependencies in an automated pipeline?

Topological sorting sequences task dependencies by applying Kahn's algorithm to the directed acyclic graph, automatically determining the correct execution order to ensure valid state persistence.

What is the best way to handle agent failures during multi-step task automation?

Handling agent failures during task automation requires configurable failure strategies like stop, skip, or retry, which maintain workflow integrity and enable automated failure recovery.

Can I use DAG orchestration for a full software development lifecycle pipeline?

DAG orchestration suits complex software development lifecycles by automating multi-step pipelines that require code analysis, implementation, testing, review, and documentation across multiple agents.

How do I execute a feature-implementation workflow defined in my project configuration?

To execute a feature-implementation workflow, trigger the dag-orchestration skill to process the directed acyclic graph defined in your project configuration and manage the automated pipeline.