Kiro Intercom enables seamless communication and coordination between multiple agent instances through a shared markdown-based chat interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install kiro-intercom
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 kiro-intercom 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 Kiro Intercom?
Kiro Intercom is a specialized communication skill designed to bridge the gap between disparate agent instances running on different environments like VPS servers, local laptops, or cloud nodes. By utilizing a shared filesystem or synchronized directory, it allows independent agents to exchange information, report status updates, and coordinate complex tasks using a standardized markdown format.
This skill is a core component of the Openclaw Skills ecosystem for users managing a distributed fleet of AI assistants. It eliminates the isolation of individual agents by providing a persistent, human-readable ledger of all inter-agent interactions, ensuring that every node in your AI network stays informed and synchronized.
Kiro Intercom Use Cases
- Synchronizing task progress between a high-performance VPS agent and a local development instance.
- Handing off complex data processing workflows from one agent to another across different physical locations.
- Maintaining a centralized audit log of agent-to-agent interactions for debugging and oversight.
- Sending real-time status alerts or pings from background agents to user-facing interfaces.
How Kiro Intercom Works
- The agent initializes the communication channel by creating or accessing the shared memory/kiro-chat.md file.
- Outgoing messages are formatted with a specific header containing the current date, time, and agent identifier.
- The skill appends the formatted message to the end of the shared chat file to maintain a chronological history.
- Peer agents regularly poll or read the memory/kiro-chat.md file to identify and process new incoming messages.
- Responses are generated and written back to the same file, creating a continuous conversational loop between instances.
Kiro Intercom Setup
To get started with this component of Openclaw Skills, ensure that the memory directory is accessible to all involved instances (e.g., via a shared cloud drive, symlink, or git-sync).
mkdir -p memory
touch memory/kiro-chat.md
Once the file exists, the agents will automatically begin monitoring and writing to this location based on their internal triggers.
Kiro Intercom Data Schema & Taxonomy
All communication is stored in a structured markdown file that is easy for both agents and humans to parse.
| Element | Description | Format |
|---|---|---|
| Timestamp | The date and time the message was sent | ## YYYY-MM-DD HH:MM |
| Sender | The unique name or ID of the Kiro instance | **[Kiro Name]** |
| Content | The message body or data payload | Plain text / Markdown |
File Location: memory/kiro-chat.md
Kiro Intercom Advanced Features
- Multi-instance support allowing an unlimited number of agents to participate in the same chat.
- Full support for rich markdown formatting, including tables and code blocks, within inter-agent messages.
- History-aware context processing, enabling agents to understand the full thread of previous conversations.
- Seamless integration with decentralized file syncing tools for robust cross-platform Openclaw Skills deployment.
SKILL.md
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