multi-agent-a2a Skill
Help a learner compose agents as networked services using the open Agent-to-Agent (A2A) protocol — expose an agent as an A2A server and consume a remote agent as a peer. Use for Lesson 7 tasks: multi-agent orchestration and A2A client/server wiring. Published by microsoft in Building-AI-Agents-From-Zero-To-Production.
What is multi-agent-a2a Skill?
Help a learner compose agents as networked services using the open Agent-to-Agent (A2A) protocol — expose an agent as an A2A server and consume a remote agent as a peer. Use for Lesson 7 tasks: multi-agent orchestration and A2A client/server wiring. Published by microsoft in Building-AI-Agents-From-Zero-To-Production. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Developers using Building-AI-Agents-From-Zero-To-Production
Technical details
- Install or run with Copy skill directory
When to use multi-agent-a2a Skill
- Use it for developers using building-ai-agents-from-zero-to-production.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/Building-AI-Agents-From-Zero-To-Production
- Skill file: .github/skills/multi-agent-a2a/SKILL.md
What it does
Help a learner compose agents as networked services using the open Agent-to-Agent (A2A) protocol — expose an agent as an A2A server and consume a remote agent as a peer. Use for Lesson 7 tasks: multi-agent orchestration and A2A client/server wiring.
Skill instructions
Multi-agent & A2A Guidance for composing agents over the Agent-to-Agent (A2A) protocol (Lesson 7). Guardrails (always apply) - Terminology: A2A (Agent-to-Agent) — an open protocol for agents to call each other as peers. - Uses preview packages: agent-framework-a2a, a2a-sdk, and uvicorn (pinned in requirements.txt with a preview note). Present these as preview, not GA. - Config via .env: A2AHOST, A2APORT, A2ASERVERURL. Models gpt-5.1 / gpt-5-codex. Concepts a learner should grasp 1. Agents as services: instead of one process holding every agent, each agent can be exposed over A2A and called remotely — enabling reuse, independent scaling and cross-team composition. 2. Server vs client: the server publishes an agent (with an agent card) over A2A; the client discovers and calls it as a peer using A2AAgent. 3. Orchestration: a coordinating agent can delegate sub-tasks to specialised remote agents. Worked example in this repo (validated live) - lesson-7-multi-agent-a2a/a2aserver.py — exposes
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Frequently asked questions
What is multi-agent-a2a?
multi-agent-a2a is a open-source AI agent skill with Copy skill directory. Help a learner compose agents as networked services using the open Agent-to-Agent (A2A) protocol — expose an agent as an A2A server and consume a remote agent as a peer.
Who is multi-agent-a2a best for?
multi-agent-a2a is best for reusing agent instructions, scripts, and references.
How do I install multi-agent-a2a?
Install or run multi-agent-a2a using Copy skill directory. Check multi-agent-a2a for the latest setup command.
Is multi-agent-a2a actively maintained?
multi-agent-a2a may need a closer maintenance check before production use.
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