orchestrate

Coordinate multiple AI subagents with dependency-aware execution and result aggregation.

Updated Feb 1, 2026
One-click install
npx skills add https://github.com/suhwan/claude-registry --skill orchestrate-suhwan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrate
Source: https://github.com/suhwan/claude-registry/tree/main/skills/orchestration/orchestrate
Command: npx skills add https://github.com/suhwan/claude-registry --skill orchestrate-suhwan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrate enables coordinating multiple AI subagents to tackle complex tasks by dividing work, managing dependencies, and aggregating results into a coherent outcome.

Core Features & Use Cases

  • Multi-agent coordination: delegate specialized subtasks to the right subagents and run them in parallel where possible.
  • Dependency-aware execution: orchestrates task sequencing and retries, ensuring robust workflows across pipelines.
  • Result consolidation: collects outputs from subagents, validates quality, and combines them into a final deliverable.
  • Use Case: When building a software feature requiring research, planning, and execution across teams, use orchestrate to coordinate all steps and produce a unified result.

Quick Start

Orchestrate a multi-step task by dividing it into stages, assigning subagents, running parallel tasks where appropriate, and aggregating results into a final report.

Frequently Asked Questions about orchestrate

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

FAQPage Schema
How do I coordinate multiple AI subagents for parallel execution and dependency management?

Multi-agent orchestration coordinates diverse subagents by delegating specialized subtasks, managing dependencies, and aggregating results. It uses an orchestration loop to run tasks in parallel where possible and sequence them based on dependencies.

What is the best way to automate task delegation across a multi-agent workflow?

Automating task delegation involves dividing complex work into stages, assigning subtasks to specialized subagents, and running parallel execution where appropriate. The orchestrate loop handles delegation, sequencing, and result consolidation into a final deliverable.

How does dependency-aware execution work for complex multi-step pipelines?

Dependency-aware execution orchestrates task sequencing by mapping dependencies across pipeline stages. It ensures subagents wait for prerequisite tasks to complete, running independent steps in parallel, and aggregating outputs into a unified result.

Do I need specific dependencies to use multi-agent orchestration for parallel execution?

No specific dependencies are required to implement multi-agent orchestration. The system relies on an internal orchestration loop with task delegation, failure retry protocols, and safety constraints to manage pipelines without external tools.

How are subagent failures handled during dependency-aware task sequencing?

Subagent failures are managed through explicit failure retry protocols within the orchestration loop. The system applies safety constraints and retries failed tasks to ensure robust workflows and result consolidation across pipelines.