Orchestrator

Coordinate multi-step software development workflows by dispatching tasks to subagents.

6|3|Updated Apr 12, 2026

Search Tags:#automation #workflow #devops #orchestration #subagent #agentic

Ready to run

npx skills add https://github.com/carson-sweet/sweetclaude --skill orchestrator-carson-sweet

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Orchestrator
Source: https://github.com/carson-sweet/sweetclaude/tree/main/skills/orchestrator
Command: npx skills add https://github.com/carson-sweet/sweetclaude --skill orchestrator-carson-sweet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The Orchestrator solves the challenge of managing complex, multi-step software development workflows that require coordination between different specialized agents, ensuring tasks are executed, verified, and tracked reliably.

Core Features & Use Cases

Workflow Dispatching: Executes multi-step project lifecycles by delegating specific tasks to subagents.
Adversarial Verification: Implements multi-agent verification loops to ensure output quality before proceeding.
Crash Recovery: Automatically detects and resumes interrupted workflows from the last successful checkpoint.
Use Case: Managing a full-stack feature implementation where one agent writes code, another performs unit testing, and a third verifies the integration, all coordinated by the Orchestrator.

Quick Start

Initiate the orchestrator to begin the active workflow by running the command to start the main loop.

Frequently Asked Questions about Orchestrator

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

FAQPage Schema

How do I automate multi-step software development workflows with subagents?▼

Automating multi-step software development workflows involves dispatching tasks to specialized subagents and managing state transitions. The Orchestrator coordinates execution, verification, and recovery within project directories using defined workflow logic.

What is adversarial verification in agentic workflow orchestration?▼

Adversarial verification in agentic workflow orchestration implements multi-agent verification loops to ensure output quality before proceeding. It coordinates specialized agents to validate task execution results against defined criteria.

How do I recover an interrupted DevOps workflow from the last checkpoint?▼

Recovering an interrupted DevOps workflow requires crash recovery mechanisms that automatically detect failures and resume execution from the last successful checkpoint. The Orchestrator maintains execution context to handle these state transitions.

Do I need Python 3 to run autonomous workflow execution and subagent management?▼

Yes, autonomous workflow execution and subagent management requires Python 3 and access to the plugin's internal script library. These dependencies maintain execution context and handle subagent communication.

Can I coordinate full-stack feature implementation across multiple agents?▼

Yes, you can coordinate full-stack feature implementation by dispatching specific tasks to specialized subagents. One agent writes code, another performs unit testing, and a third verifies integration, all managed by the Orchestrator.

What's the best way to manage state transitions in complex automated processes?▼

Managing state transitions in complex automated processes is best handled by coordinating execution, verification, and recovery logic. The Orchestrator operates within project directories to execute and track automated processes based on defined workflow rules.