agent-orchestrator

Name: agent-orchestrator
Availability: InStock
Author: dingdyan

Decompose complex tasks into parallel subtasks and coordinate autonomous sub-agents.

Updated Apr 5, 2026

Search Tags:#multi-agent #agent orchestration #task decomposition #status tracking #file-based IPC #autonomous delegation #workflow consolidation

Ready to run

npx skills add https://github.com/dingdyan/openclaw-workspace-v2 --skill agent-orchestrator-dingdyan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-orchestrator
Source: https://github.com/dingdyan/openclaw-workspace-v2/tree/main/skills/agent-orchestrator
Command: npx skills add https://github.com/dingdyan/openclaw-workspace-v2 --skill agent-orchestrator-dingdyan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It eliminates the complexity of breaking down and coordinating large, multi-step work by delegating independent parts to specialized sub-agents and then merging their outputs into a single result.

Core Features & Use Cases

Task decomposition into parallel subtasks: Break a macro objective into independent work units with explicit success criteria and dependency mapping.
Dynamic sub-agent creation and dispatch: Generate sub-agent workspaces and SKILL.md files on-demand, deliver instructions via inbox, and start each agent to execute its portion.
File-based coordination and consolidation: Monitor completion using status.json, validate each agent’s deliverables, resolve integration conflicts, and produce a consolidated summary.

Quick Start

Ask an AI to orchestrate a multi-agent workflow that decomposes your macro task, spawns specialized sub-agents, and consolidates their outbox deliverables into a final report.

Frequently Asked Questions about agent-orchestrator

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

FAQPage Schema

How do I coordinate autonomous sub-agents to execute parallel tasks?▼

To coordinate autonomous sub-agents for parallel tasks, you orchestrate a workflow that decomposes a macro objective into independent work units, dispatches instructions to sub-agent workspaces via file-based inboxes, and consolidates their outbox deliverables into a final result.

What is file-based IPC for multi-agent communication and status tracking?▼

File-based IPC for multi-agent communication uses an inbox and outbox directory structure to deliver instructions and collect deliverables, while a status.json file tracks each sub-agent's execution progress for reliable coordination.

How do I merge outputs from multiple sub-agents after task decomposition?▼

Merging outputs from multiple sub-agents after task decomposition involves monitoring each agent's status.json file, validating their deliverables against explicit success criteria, resolving integration conflicts, and producing a consolidated summary.

Can I use autonomous delegation for multi-stage research and code generation workflows?▼

Yes, autonomous delegation supports multi-stage workflows like research, analysis, writing, and code generation by dynamically generating SKILL.md files for specialized sub-agents and merging their independent outputs with conflict resolution.

Do I need dependencies to run a multi-agent orchestrator workflow?▼

No dependencies are required to run a multi-agent orchestrator workflow. It relies entirely on dynamic SKILL.md generation and native file-based inbox and outbox communication to coordinate sub-agents and consolidate deliverables.

When should I not use multi-agent orchestration for task decomposition?▼

Multi-agent orchestration for task decomposition should be avoided for simple, linear tasks that lack independent work units, as the overhead of generating sub-agent workspaces and managing file-based IPC outweighs the benefits of parallel execution.