A specialized communication layer that enables AI agents to coordinate work through standardized message-passing protocols and structured handoffs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-communicator
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 agent-communicator 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 Agent Communicator?
Agent Communicator is a robust framework designed to manage the complexities of multi-agent systems by implementing proven distributed systems patterns such as the Actor Model and gRPC. As a core component of your AI stack, it provides a structured methodology for agents to exchange context, request reviews, and provide feedback without losing information in the process.
By utilizing this skill within the Openclaw Skills ecosystem, developers can ensure that inter-agent interactions are traceable, high-quality, and logically consistent. The skill acts as a middleware that enforces message formatting, context packaging, and response validation, effectively serving as the nervous system for collaborative AI workflows.
Agent Communicator Use Cases
- Managing structured code review requests between specialized security and development agents.
- Orchestrating seamless handoffs between backend and frontend agents during the software development lifecycle.
- Facilitating collaborative problem-solving sessions where multiple agents must reach a consensus on architectural decisions.
- Monitoring communication health and latency across an entire agent swarm to identify bottlenecks.
How Agent Communicator Works
- Initialize a communication thread using a unique Thread ID to maintain persistent context across multiple interactions.
- Select a standard message category such as Request, Notification, or Handoff based on the intended goal.
- Compose the message using the standardized protocol, including essential metadata like priority, sender/recipient agents, and specific context.
- Perform a self-review quality check to ensure the message is actionable and clear before dispatching.
- Track the message status through its lifecycle—from Sent to Responded—within a centralized communication log for auditability.
Agent Communicator Setup
To integrate this skill into your agent environment, use the following installation steps:
# Install the agent-communicator skill via the CLI
openclaw install agent-communicator
# Enable the communication specialist for your current project
/agent-communicator --setup
Agent Communicator Data Schema & Taxonomy
The skill organizes interaction data using a strict schema to ensure compatibility across different agent architectures. Key data points include:
| Attribute | Description | Format |
|---|---|---|
| Thread ID | Links related messages into a single conversation | String (msg-thread-xxx) |
| Type | The functional category of the message | Enum (Request, Handoff, etc.) |
| Metadata | Includes timestamps, priorities, and status tracking | JSON Object |
| Context | Relevant background information and file references | Markdown String |
| Logistics | Deadlines and expected response types | ISO Timestamp / String |
Agent Communicator Advanced Features
- Conflict Resolution Protocol: A step-by-step workflow for documenting and resolving disagreements between agents.
- Communication Health Reporting: Generates detailed metrics on response rates, average wait times, and pending tasks.
- Structured JSON Output: Allows for programmatic monitoring of agent interactions by external dashboards or logging systems.
- Automated Acknowledgment Tracking: Ensures no message is left unread or unresponded to through systematic timeout handling.
SKILL.md
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