orchestrate

Decompose plans into tasks and execute multi-agent workflows with dependencies.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/athan-dial/skills --skill orchestrate-athan-dial
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrate
Source: https://github.com/athan-dial/skills/tree/main/plugins/dev/skills/orchestrate
Command: npx skills add https://github.com/athan-dial/skills --skill orchestrate-athan-dial

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables autonomous decomposition and management of complex multi-step AI workflows, reducing manual oversight.

Core Features & Use Cases

  • Workflow Automation: Read plans or freeform requests, decompose into tasks, and dispatch to multiple agents simultaneously.
  • Wave-Based Execution: Manage parallel execution of tasks respecting dependencies, polling, and review.
  • Use Case: Automate a multi-file code refactor involving plan approval, task decomposition, and stepwise execution, ensuring resilience and progress tracking.

Quick Start

Use the orchestrate skill to decompose a plan file into tasks, then execute waves with live polling and checkpoints.

Frequently Asked Questions about orchestrate

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

FAQPage Schema
How do I automate complex multi-step AI workflows with dependency management?

Multi-agent workflow orchestration automates complex AI tasks by decomposing plans into discrete tasks and dispatching them to multiple agents simultaneously. It manages parallel execution respecting dependencies, polling, and review to reduce manual oversight.

What is wave-based execution for parallel task management?

Wave-based execution manages parallel task dispatch by grouping tasks into sequential waves that respect dependency chains. It handles polling and review between waves, ensuring dependent tasks wait for prerequisite steps to complete before dispatching.

Can I use this workflow orchestration for a multi-file codebase refactor?

Yes, workflow orchestration is suitable for automating a multi-file codebase refactor. It handles plan approval, task decomposition, and stepwise execution across multiple components, tracking progress and ensuring resilience through checkpointing throughout the process.

How do I add retries and checkpointing to AI task automation?

Add retries and checkpointing to AI task automation by configuring the orchestration framework to manage task execution. It ensures resilience by automatically checkpointing progress and retrying failed steps within complex multi-agent workflows.

What is the best way to orchestrate multi-agent workflows on documentation?

The best way to orchestrate multi-agent workflows on documentation is using a flexible orchestration system that reads plans, decomposes them into tasks, and dispatches them to multiple agents. It adapts to diverse task structures with configurable dependencies.

Does this task orchestration tool support freeform requests or only structured plans?

This task orchestration tool supports both structured plans and freeform requests. It can read either input format, autonomously decompose the content into manageable tasks, and dispatch them for execution with configurable dependencies.