Expose and consume AI agents via the A2A protocol across ADK deployments.
npx skills add https://github.com/RawleySM/rlm-adk --skill a2a-patterns
Please help me install this Agent Skill. Skill: a2a-patterns Source: https://github.com/RawleySM/rlm-adk/tree/main/.gemini/skills/a2a-patterns Command: npx skills add https://github.com/RawleySM/rlm-adk --skill a2a-patterns
The A2A pattern suite enables agents to expose themselves and consume remote agents using the A2A protocol within Google's ADK, enabling secure multi-agent collaboration and orchestration.
Run the expose-agent script to deploy an A2A service or run the consume-agent script to connect to a remote A2A agent.
High-intent search queries and answers about installing and using this skill.
To expose an ADK agent via A2A, you run a script that deploys a lightweight HTTP/GRPC server and generates an Agent Card at /.well-known/agent.json, enabling other agents to discover and communicate with your agent.
Yes, you can consume external agents by running a script that integrates remote agents as sub-agents, providing capability discovery, a send_task tool, and managing inter-agent sessions for client-side consumption.
Yes, the A2A protocol supports multi-agent orchestration across ADK deployments including Cloud Run, Agent Engine, and GKE by using a coordinator that routes tasks, aggregates results, and manages workloads across specialist agents.
You need curl, jq, uuidgen, gcloud, adk, and kubectl installed to deploy, consume, and test A2A integrations, as these tools are required for running the validation steps and deployment scripts.
An Agent Card is a JSON file hosted at /.well-known/agent.json that allows an A2A server-side agent to expose its capabilities, enabling other agents to discover and interact with it within Google's ADK.
The best way to validate A2A agent communication is by running the provided validation scripts to test server-side exposure and client consumption, ensuring your multi-agent orchestration works correctly before deploying to Cloud Run or GKE.
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