a2a

Coordinate bidirectional agent-to-agent messaging between OpenClaw and Hermes.

1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/villadalmine/infra --skill a2a-villadalmine
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: a2a
Source: https://github.com/villadalmine/infra/tree/main/skills/a2a
Command: npx skills add https://github.com/villadalmine/infra --skill a2a-villadalmine

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill makes bidirectional agent-to-agent communication reliable when you need one assistant to consult, challenge, or delegate to another assistant instead of relying on a single tool call.

Core Features & Use Cases

  • Two-way agent workflow: Supports OpenClaw→Hermes and Hermes→OpenClaw communication paths for real back-and-forth reasoning.
  • Operational troubleshooting: Useful for incident analysis, cluster state inspection, and infrastructure debates where each agent needs to reason with its own tools and memory.
  • Bridge reliability patterns: Captures the practical fixes needed for stateless MCP sessions, bridge routing, reply correlation, timeout handling, and network access between services.
  • Example use case: Ask one agent to analyze Kubernetes health, then have the other agent critique the recommendation and produce a final synthesis.

Quick Start

Use the a2a skill to summarize the current OpenClaw↔Hermes bridge status and recommend the next troubleshooting step.

Frequently Asked Questions about a2a

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enable bidirectional agent-to-agent communication between two assistants?

You enable bidirectional agent-to-agent messaging by using the a2a skill to coordinate OpenClaw and Hermes through bridge.js routing, supporting back-and-forth reasoning across both directions of the bridge.

When do I need two-way agent debate instead of a single MCP tool call?

You need two-way agent debate when one assistant must consult, challenge, or delegate to another for tasks like incident analysis or cluster troubleshooting, requiring deeper reasoning than a stateless MCP tool call can provide.

How do I troubleshoot Kubernetes cluster issues using multi-agent reasoning?

You troubleshoot Kubernetes cluster issues by having one agent analyze cluster health and the other critique the recommendation, producing a final synthesis through bidirectional OpenClaw and Hermes messaging.

Does the a2a bridge require stateless MCP sessions for reply correlation?

Yes, the a2a bridge requires stateless MCP sessions along with timestamp-filtered replies and bridge.js routing to reliably correlate responses and handle timeouts between OpenClaw and Hermes.

What are the limitations of using bridge.js for agent-to-agent messaging?

Limitations include the need for stateless MCP sessions, proper network access between services, and manual timestamp-filtered reply correlation to handle timeouts and prevent dropped messages during OpenClaw and Hermes communication.

Can I use Telegram-driven assistance with OpenClaw and Hermes agents?

Yes, Telegram-driven assistance is supported by routing user requests through the a2a bridge to coordinate bidirectional messaging and troubleshooting workflows between OpenClaw and Hermes agents.