An advanced orchestration toolkit for managing multi-agent teams using Directed Acyclic Graph (DAG) task execution and real-time status monitoring.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install firm-agent-orchestration-pack
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 firm-agent-orchestration-pack 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 Firm Agent Orchestration Pack?
The Firm Agent Orchestration Pack is a specialized suite of tools designed to coordinate complex interactions between multiple AI agents. By implementing Directed Acyclic Graph (DAG) logic, this skill allows developers to define intricate task dependencies, ensuring that agents execute work in the correct sequence while maximizing parallel processing for independent tasks. As a core component of the Openclaw Skills ecosystem, it provides the structural foundation needed for scalable agentic teams.
This pack simplifies the management of distributed tasks by providing clear visibility into execution states. Whether you are building an automated software development pipeline or a complex data research workflow, this skill ensures that agent transitions are seamless and resource allocation is optimized through its native dependency resolution engine.
Firm Agent Orchestration Pack Use Cases
- Managing multi-step software development workflows where code must be written before it is reviewed.
- Parallelizing data collection tasks across multiple research agents to reduce total execution time.
- Monitoring the live status and progress of complex agentic team operations in real-time.
- Automating marketing campaigns that require sequential content generation, approval, and distribution.
How Firm Agent Orchestration Pack Works
- The user defines a set of tasks, each assigned to a specific agent with optional dependencies.
- The openclaw_agent_team_orchestrate tool processes the task list to generate a Directed Acyclic Graph (DAG).
- The orchestration engine identifies which tasks can be executed in parallel and which must wait for prerequisites.
- Agents are triggered automatically as their specific task dependencies are satisfied.
- Users call openclaw_agent_team_status to retrieve a snapshot of the current team progress and execution health.
Firm Agent Orchestration Pack Setup
To integrate this pack into your environment, ensure you meet the minimum requirements and install the necessary extensions:
# Ensure you have the required MCP extensions
pip install mcp-openclaw-extensions>=3.0.0
# Add the skill to your Openclaw configuration
openclaw skills add firm-agent-orchestration-pack
Firm Agent Orchestration Pack Data Schema & Taxonomy
The skill utilizes a structured JSON schema for task definition and status reporting within the Openclaw Skills framework:
| Parameter | Type | Description |
|---|---|---|
| id | String | Unique identifier for the specific task. |
| agent | String | The identifier of the agent assigned to the task (e.g., 'cto', 'researcher'). |
| task | String | The natural language description of the work to be performed. |
| status | String | Current state of the task (e.g., pending, running, completed, failed). |
Firm Agent Orchestration Pack Advanced Features
- Full Directed Acyclic Graph (DAG) support for complex multi-agent dependency resolution.
- High-concurrency parallel task execution for independent agent nodes.
- Real-time team monitoring via standardized status endpoints within Openclaw Skills.
- Extensible metadata support for custom agent roles and task types.
SKILL.md
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