A standardized implementation of the Agent2Agent Protocol enabling discovery, messaging, and task delegation between autonomous AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install a2a-protocol
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-protocol 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 Protocol Skill?
The A2A Protocol skill is a specialized communication layer designed for the Openclaw Skills ecosystem. It allows AI agents to interact with one another through a structured protocol, facilitating agent discovery via Agent Cards and enabling complex multi-agent workflows. This skill is essential for developers building decentralized AI systems where agents need to share information, delegate specialized tasks, and report status updates in a predictable, standardized format.
By providing a common interface for registration and messaging, this skill ensures that agents within the Openclaw Skills network can collaborate effectively regardless of their underlying architecture. It supports both synchronous messaging and asynchronous task management, making it a versatile tool for building scalable agentic systems.
A2A Protocol Skill Use Cases
- Enabling specialized research agents to delegate data analysis tasks to peer agents.
- Building decentralized agent registries for autonomous discovery within Openclaw Skills networks.
- Implementing real-time communication between multiple agents using Server-Sent Events.
- Managing complex, long-running workflows that require status polling and result retrieval across agent boundaries.
- Standardizing agent capabilities and endpoints using the universal Agent Card format.
How A2A Protocol Skill Works
- The agent identifies its own capabilities and registers them as an Agent Card on a designated registry or endpoint.
- A client agent searches the registry or a direct endpoint to discover the capabilities of remote agents compatible with Openclaw Skills.
- The initiating agent sends a message or submits a task request to the remote agent's endpoint using the A2A format.
- The remote agent processes the request and provides a task ID for tracking or immediate message response.
- The client agent polls the status or listens to a stream for updates until the result is ready for retrieval.
A2A Protocol Skill Setup
To utilize this skill within your Openclaw Skills environment, ensure you have Python 3.8+ installed and configure the required dependencies:
pip install requests sseclient-py
To register your agent with the network, use the provided PowerShell script:
.\a2a.ps1 -Action register -Name "MyAgent" -Description "Research agent" -Capabilities "research,analysis" -Endpoint "https://my-agent.com/a2a"
A2A Protocol Skill Data Schema & Taxonomy
The A2A Protocol skill organizes data through a series of structured JSON entities and RESTful endpoints.
| Object | Description |
|---|---|
| Agent Card | Metadata containing the agent's name, unique ID, description, and list of functional capabilities. |
| Task | A work request object containing a unique TaskId, current status (e.g., pending, completed), and the final result payload. |
| Message | A direct communication object used for peer-to-peer data exchange between agents. |
| Registry | A central or distributed list of available Agent Cards within the Openclaw Skills ecosystem. |
A2A Protocol Skill Advanced Features
- Real-time streaming support via Server-Sent Events (SSE) for immediate feedback during task execution.
- Comprehensive authentication support for secure agent-to-agent interactions using API keys and Bearer tokens.
- Extensible Python client library allowing for programmatic integration into custom agent architectures.
- Automated status management for tracking the lifecycle of remote tasks from submission to completion within the Openclaw Skills framework.
- Standardized endpoint mapping for easy discovery and routing of agent messages.
SKILL.md
Loading
Related Openclaw Skills
Discord Task Center
A professional integration that turns Discord forum threads into structured AI task sessions with automated tagging and model switching.
Discord Dynasty - Task & Server Management
A specialized skill for OpenClaw agents to manage Discord forum-based task centers and deploy historical-themed server hierarchies.
News Aggregator Skill
A powerful AI-driven news aggregator that pulls real-time data from 8 major global sources and provides deep semantic analysis.
Xiaohongshu Post Automation
An automated publishing tool that handles image uploads, content formatting, and post submission for the Xiaohongshu Creator Platform.
Agent Identity Skill
A robust cryptographic framework for AI agents to sign messages, verify identities, and establish secure agent-to-agent communications.
Agent Metrics
A comprehensive observability tool for tracking AI agent API calls, error rates, and system resource utilization.
METADATA
Featured*
