A specialized skill for Openclaw Skills that enables seamless discovery and invocation of external AI agents through a standardized communication protocol.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install a2a-waai
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 a2a-waai 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 a2a - Agent Interconnect?
A2A (Agent Interconnect) is a robust communication framework designed for Openclaw Skills to facilitate deep collaboration between AI agents. It allows developers to break free from single-agent limitations by implementing a standardized protocol for discovering, delegating, and invoking services across different AI platforms.
By utilizing a lightweight 6-field structure and high-performance connection pooling, A2A turns isolated agents into a cohesive multi-agent ecosystem. This skill is essential for developers looking to build scalable, distributed AI architectures where specialized agents communicate via a unified language.
a2a - Agent Interconnect Use Cases
- Building complex multi-agent systems where specialized agents handle specific domain tasks.
- Cross-platform collaboration between Openclaw and other AI platforms like Coze or custom-built agents.
- Delegating time-consuming or resource-heavy operations to external background agents via asynchronous tasks.
- Synchronous service discovery to find agents with specific capabilities, such as image generation, in real-time.
How a2a - Agent Interconnect Works
- The Agent Interconnect skill initializes a Registry to track available agents and their specific capabilities within the Openclaw Skills environment.
- The developer registers actions using an elegant decorator-based server setup to expose agent functionality to the network.
- The Client initiates a request (Call, Cast, or Task) to a target agent's endpoint via a high-performance connection pool.
- The target agent processes the request and returns a response, or executes the task asynchronously depending on the message type chosen.
a2a - Agent Interconnect Setup
To get started with this protocol in Openclaw Skills, install the a2a package using the following command:
npx clawhub install a2a-waai
Ensure you have python3 installed on your system as it is the primary runtime requirement for the interconnect logic.
a2a - Agent Interconnect Data Schema & Taxonomy
The A2A skill organizes communication using a streamlined data structure to ensure compatibility across Openclaw Skills.
| Component | Description | Technical Detail |
|---|---|---|
| Agent Registry | A directory of available agents | Stores ID, Name, and Endpoint |
| Message Type: call | Synchronous request | Expects immediate response |
| Message Type: cast | Notification/Signal | Fire-and-forget, no response |
| Message Type: task | Async execution | Used for long-running operations |
| Action Decorator | Function registration | Maps functions to callable endpoints |
a2a - Agent Interconnect Advanced Features
- Decorator-based action registration for clean and maintainable Python server code.
- High-performance connection pooling to minimize latency during cross-agent communication within Openclaw Skills.
- Capability-based discovery, allowing agents to find each other based on 'tags' rather than fixed IP addresses.
- Support for diverse messaging patterns including synchronous, asynchronous, and notification-only workflows.
SKILL.md
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