A sophisticated task orchestration skill that decomposes complex requests into parallel sub-tasks for multiple agents using a Hub-and-Spoke model.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install apollo-coordinator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install apollo-coordinator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Apollo Coordinator?
The Apollo Coordinator is a powerful orchestration framework designed for multi-agent environments within the Openclaw Skills ecosystem. It implements a robust Hub-and-Spoke architecture where a central Hub acts as the strategist, breaking down high-level user requests into independent, executable sub-tasks.
By delegating execution to specialized Spoke agents, the system achieves true parallel processing. This skill is essential for developers and power users who need to manage complex, time-consuming operations that exceed the capacity of a single agent session, ensuring structured result synthesis and conflict resolution.
Apollo Coordinator Use Cases
- Managing large-scale research projects across multiple domains.
- Orchestrating parallel code generation and documentation tasks.
- Distributing data analysis across various datasets simultaneously.
- Coordinating multi-step workflows that require independent agent execution.
- Resolving complex problems by breaking them into manageable, non-dependent segments.
How Apollo Coordinator Works
- The user inputs a complex task or initiates a trigger like multitask parallel.
- The Hub decomposes the main task into N independent sub-tasks based on complexity.
- Sub-tasks are assigned in parallel to independent Spoke agents.
- Each Spoke agent executes its specific assignment and returns structured results.
- The Hub synthesizes all Spoke outputs, handles timeouts, and identifies any data conflicts.
- A final, consolidated delivery is presented to the user.
Apollo Coordinator Setup
To integrate this skill into your agent environment, ensure your configuration supports multi-agent triggers. This is a core part of the Openclaw Skills library.
# Standard initialization for the coordinator
openclaw install apollo-coordinator
Ensure your LLM provider supports concurrent requests to fully utilize the parallel execution capabilities of the Hub-and-Spoke model.
Apollo Coordinator Data Schema & Taxonomy
The skill utilizes a structured communication protocol to ensure consistency between the Hub and Spokes.
| Component | Format | Description |
|---|---|---|
| Task Decomposition | Markdown/JSON | Generated by the Hub to define sub-task goals and expected outputs. |
| Result Return | Structured Markdown | Provided by Spokes including success/timeout status and core content. |
| Conflict Log | Annotated List | Generated by the Hub when disparate Spokes return contradictory information. |
Apollo Coordinator Advanced Features
- Intelligent Task Decomposition: Automatically scales from 2 to 5 sub-agents based on the detected complexity of the user request.
- Conflict Detection and Management: The Hub identifies overlapping or contradictory data and flags it for user intervention.
- Timeout Resiliency: If a single Spoke fails or hangs, the system marks the sub-task as timed out and continues processing to ensure partial results are delivered.
- Strict Output Standardization: Enforces specific data structures across all sub-agents to facilitate seamless synthesis by the Hub within the Openclaw Skills framework.
SKILL.md
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