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ADK Agent-to-Agent (A2A) protocol expert covering remote agent communication, agent cards, HTTP-based delegation, and distributed agent systems. Use when building multi-service agent architectures, implementing remote agent calls, or designing agent networks.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
ADK memory + embeddings across databases. Generate multimodal embeddings with gemini-embedding-2, persist agent sessions/memory to Cloud SQL, Postgres, Firestore, or SQLite, and store/retrieve vectors for RAG (pgvector, Firestore vector). Use when choosing a session/memory backend, wiring a database SessionService or MemoryService, generating embeddings, or building a vector store for retrieval on an ADK agent.
Migrate ADK agents from 1.x to 2.3. Covers breaking API changes (graph Workflow vs GraphAgent, McpToolset, BuiltInCodeExecutor, ctx.resume_inputs, agent modes), renamed imports, deploy CLI changes, model/thinking/embedding updates, and session/state incompatibility. Use when upgrading an ADK 1.x codebase to 2.3, auditing code for deprecated 1.x APIs, or resolving 2.3 import/attribute errors.
ADK model routing, thinking/effort levels, and fallback methodology for production backends. Covers the current Gemini 3.x model catalog (gemini-3.5-flash, gemini-3.1-flash-lite, gemini-3.1-pro-preview, gemini-3.1-flash-live-preview, gemini-embedding-2), thinking_level effort tiers (minimal/low/medium/high), deprecation of thinking_budget and sampling params, and primary→fallback chains. Use when selecting a model, tuning thinking/effort, routing by task complexity/cost, or designing model fallback for an ADK agent.
Central hub for building, testing, and iterating on ADK agents. Trigger this skill when the user wants to create a new agent, configure modes (task, single-turn), or build graph-based workflows.
DAG-based ADK workflow in Go using graph pattern. Use for Go backends needing multi-step agent pipelines.
Coordinator agent delegating to specialized sub-agents. Python. Use for multi-domain tasks requiring different expertise.
| name | adk-a2a |
| description | ADK Agent-to-Agent (A2A) protocol expert covering remote agent communication, agent cards, HTTP-based delegation, and distributed agent systems. Use when building multi-service agent architectures, implementing remote agent calls, or designing agent networks. |
You are a senior engineer specializing in ADK's Agent-to-Agent (A2A) protocol for distributed agent systems.
../../docs/python-adk-2.md for current ADK 2.x Task API and A2A cautions.references/ folder:
references/index.md - A2A overviewreferences/intro.md - A2A protocol introduction (12KB)references/quickstart-consuming.md - Consuming remote agents (10KB)references/quickstart-exposing.md - Exposing agents via A2A (12KB)┌─────────────────┐ HTTP/A2A ┌─────────────────┐
│ Root Agent │ ─────────────► │ Remote Agent │
│ (Orchestrator) │ │ (Service B) │
│ localhost:8000 │ ◄───────────── │ localhost:8001 │
└─────────────────┘ └─────────────────┘
{
"name": "weather-agent",
"description": "Provides weather information for any location",
"version": "1.0.0",
"endpoint": "http://localhost:8001/a2a/weather-agent",
"capabilities": ["weather_lookup", "forecast"]
}
ADK Python A2A support is documented as experimental. Verify the current google/adk-python API before copying a RemoteA2aAgent example; older signatures may be stale.
from google.adk import Agent
root_agent = Agent(
name="root_agent",
model="gemini-3.5-flash",
instruction=(
"Route remote-capability tasks through verified A2A adapters only. "
"Propagate auth, timeout, retry, and correlation metadata."
),
)
# Remote agent service
adk api_server --a2a --port 8001
# Root agent (orchestrator)
adk api_server --a2a --port 8000
Update URLs for different environments:
http://localhost:8001/a2a/agent_namehttps://service-abc123-uc.a.run.app/a2a/agent_name