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a2a-protocol

Agent2Agent (A2A) Protocol implementation - communicate with other AI agents

Why use this skill?

Learn how to use the a2a-protocol skill to enable your OpenClaw agents to collaborate, delegate tasks, and communicate with other AI agents via standardized protocols.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/nantes/a2a-protocol
Or

What This Skill Does

The a2a-protocol skill empowers OpenClaw agents to interact seamlessly with other AI agents across the decentralized web. It implements the Agent2Agent (A2A) protocol, a standard for inter-agent communication that facilitates discovery, task delegation, and real-time streaming updates. By utilizing Agent Cards, the skill allows your agent to look up the capabilities of others, ensuring efficient routing of tasks based on specialized expertise. Whether you need to send a simple status message or coordinate a complex multi-agent workflow, this protocol provides the robust foundation needed for collaborative intelligence.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/nantes/a2a-protocol

Ensure you have the required Python dependencies installed by running: pip install requests sseclient-py

Use Cases

  • Multi-Agent Orchestration: Delegate research tasks to a specialist agent while your primary agent manages the workflow.
  • Decentralized Services: Access external AI capabilities (like data analysis or translation) provided by remote, specialized agents without needing local models.
  • Automated Collaboration: Enable multiple agents to work in parallel, reporting back status via SSE streaming for real-time progress updates.
  • Registry Discovery: Dynamically find and connect to new agents via a central registry, allowing your agent to expand its capabilities over time.

Example Prompts

  1. "Check the agent registry for any research agents that support the 'data-analysis' capability and store their contact info."
  2. "Send a task to the agent with ID 'uuid-1234' to summarize the current state of quantum computing research and return the final report."
  3. "Open a streaming connection to the remote research agent and alert me as soon as the task status transitions from 'in-progress' to 'completed'."

Tips & Limitations

  • Network Dependency: Ensure your agent has reliable outbound network access, as the A2A protocol relies on remote endpoints being reachable.
  • Authentication: Always provide valid API keys or Bearer tokens when interacting with secure agents to prevent unauthorized access errors.
  • Error Handling: When submitting tasks, always verify the task status before attempting to fetch results to prevent empty data returns.
  • Privacy: Be mindful of the data you share in messages or tasks, as inter-agent communication involves transmitting payloads to external third-party endpoints.

Metadata

Author@nantes
Stars1335
Views0
Updated2026-02-23
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-nantes-a2a-protocol": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#agent-communication#protocol#distributed-ai#automation#api
Safety Score: 3/5

Flags: network-access, external-api