A hierarchical multi-agent orchestration framework that routes objectives through a pyramid structure of specialized AI agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install firm-orchestration
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install firm-orchestration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Firm Orchestration implements a sophisticated Agent-to-Agent (A2A) pyramid pattern designed for Openclaw Skills. It mimics a corporate hierarchy where a CEO agent decomposes high-level objectives and delegates them down through departments, services, and individual employee agents. This approach ensures that complex tasks are handled by specialized sub-agents, leading to more reliable and structured outputs than single-agent approaches.
This skill is essential for users looking to scale their AI operations using Openclaw Skills. By enforcing strict handoff contracts and merge strategies, it maintains high quality and consistency across various AI-driven departments such as Engineering, Quality, and Operations. The system is built to handle the complexities of enterprise-grade task management within an AI ecosystem.
To begin using this skill within your environment, ensure you have the Openclaw Skills framework properly configured. No external binaries are required as it leverages native session management tools.
# Trigger a full firm orchestration run directly in your OpenClaw session
@firm-orchestration run \
objective: "Build a payment API" \
departments: ["engineering", "quality"] \
delivery_format: "github_pr"
The firm-orchestration skill uses a strict handoff contract to ensure data integrity across agents. Every delegation payload follows this structure:
| Property | Description | Type |
|---|---|---|
| from | The originating agent level (e.g., ceo) | String |
| to | The target department or service session | String |
| objective | The specific task description | String |
| constraints | Operational boundaries and limitations | Array |
| definition_of_done | Explicit criteria for task completion | String |
| reply_session | Reference to the parent session for result merging | String |
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