a2a-protocol

Implement Google's A2A protocol for multi-agent task delegation and discovery.

5|1|Updated Jun 17, 2026

Search Tags:#multi-agent-systems #task-delegation #spring-ai #a2a-protocol #agent-registry #agent-interoperability #streaming-tasks

Ready to run

npx skills add https://github.com/roanbrasil/engineer-grade-agent-skills --skill a2a-protocol-roanbrasil

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: a2a-protocol
Source: https://github.com/roanbrasil/engineer-grade-agent-skills/tree/main/skills/a2a-protocol
Command: npx skills add https://github.com/roanbrasil/engineer-grade-agent-skills --skill a2a-protocol-roanbrasil

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of building production-grade multi-agent systems that can securely delegate tasks and communicate across different frameworks and runtimes without exposing internal state or implementation details.

Core Features & Use Cases

A2A Protocol Implementation: Full server and client implementations for Python (FastAPI) and Java (Spring Boot) covering all core A2A endpoints for task submission, streaming, and lifecycle management.
Agent Discovery & Registry: Build agent registries to discover agents by declared capability using standardized Agent Cards served at the well-known URL.
Production-Grade Guardrails: Includes security best practices for Bearer token authentication, input validation, task lifecycle safety, and anti-pattern avoidance for cross-organization agent networks.
Use Case: Orchestrate a pipeline where a central orchestrator agent delegates code review tasks to a specialized A2A-enabled code review agent, streams partial progress updates, and receives structured security findings as artifacts.

Quick Start

Use the a2a-protocol skill to implement a Python A2A server that accepts task delegations for code review and returns structured security findings via the /tasks/send endpoint.

Frequently Asked Questions about a2a-protocol

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

FAQPage Schema

How do I implement secure multi-agent interoperability for task delegation?▼

Secure multi-agent interoperability is implemented using the A2A protocol, enabling autonomous AI agents to delegate tasks and communicate across different frameworks without exposing internal state. It includes Bearer token authentication for secure cross-agent communication.

What is the A2A protocol for multi-agent systems?▼

The A2A protocol is Google's open standard for horizontal interoperability between autonomous AI agents. It facilitates agent discovery via Agent Cards, task lifecycle management, streaming partial results, and multi-turn input-required workflows across different runtimes.

Does the A2A protocol work with Spring AI and Python FastAPI?▼

Yes, the A2A protocol implementation supports both Spring Boot for Java environments and FastAPI for Python. This allows production agent networks to integrate A2A endpoints for task submission and streaming regardless of the backend framework.

How do I build an agent registry to discover agents by capability?▼

Build an agent registry by utilizing standardized Agent Cards served at a well-known URL. This mechanism allows the system to discover available autonomous agents by their declared capabilities for targeted task delegation workflows.

How do I stream partial results from a delegated task in a multi-agent system?▼

Stream partial results from delegated tasks by utilizing the A2A protocol's core streaming endpoints. The implementation supports sending progressive progress updates and structured artifacts back to the orchestrator agent during the task lifecycle.

What are the security best practices for cross-organization agent networks?▼

Security best practices for cross-organization agent networks include implementing Bearer token authentication, input validation, and task lifecycle safety. These production-grade guardrails prevent anti-patterns and secure cross-agent communication.