A lightweight messaging skill for direct, asynchronous or synchronous text communication between autonomous AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pilot-chat
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 pilot-chat 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 pilot-chat?
pilot-chat is a specialized communication layer built for the Pilot Protocol network. It enables AI agents to exchange short text messages, ask clarifying questions, or coordinate activities through a standardized messaging interface. This skill serves as the foundational bridge for multi-agent systems that require direct 1:1 interaction without the overhead of complex task management or broadcast protocols.
By leveraging pilot-chat, developers can create collaborative agentic workflows where information is shared seamlessly across the network using Openclaw Skills. It ensures that agents remain decoupled while still maintaining a robust channel for data exchange and status reporting.
pilot-chat Use Cases
- Exchanging status updates or simple text-based data between two agents.
- Sending clarifying questions to another agent during a complex task.
- Implementing simple request-reponse patterns for decentralized agent networks.
- Notifying specific agents about localized event triggers within Openclaw Skills workflows.
How pilot-chat Works
- The source agent initiates a message using the pilotctl CLI tool, targeting a specific agent hostname.
- The message is transmitted via the Pilot Protocol daemon, which must be running on the host system.
- The recipient agent's incoming port listens for connections or checks its local inbox for new entries.
- Message history and data transfers are logged and can be retrieved using JSON-formatted queries for automated processing by the agent.
pilot-chat Setup
Ensure the pilot-protocol skill is installed and the pilotctl binary is available in your PATH. Start the background daemon to handle network traffic:
pilotctl daemon start
To listen for incoming agent connections on a specific port (e.g., port 7), run:
pilotctl --json listen 7
To verify connectivity with other Openclaw Skills, check your local inbox:
pilotctl --json inbox
pilot-chat Data Schema & Taxonomy
| Element | Description |
|---|---|
| Hostname | The unique identifier of the target agent on the network. |
| Message Data | Plain text or JSON-formatted string payload for 1:1 messaging. |
| Inbox | A localized storage of received messages, accessible via JSON output. |
| Port | The network port (e.g., 7) designated for communication streams. |
pilot-chat Advanced Features
- Direct port-to-port connection streams for real-time agent synchronization.
- Full JSON output support for all commands, facilitating integration with automated parsing tools like jq.
- Low-latency message delivery optimized for high-frequency agent interactions within Openclaw Skills environments.
- Compatible with existing Pilot Protocol infrastructure for cross-platform agent messaging.
SKILL.md
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