Skill a2a agent orchestration
A2A agent orchestration skill — discover, dispatch, stream, and manage remote agent tasks
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Orchestrate remote AI agents via A2A protocol — discover agent cards, dispatch tasks, stream results, cancel tasks, and manage push notifications. Use when delegating work to remote agents, checking agent capabilities, coordinating multi-agent workflows, or monitoring task progress.
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SKILL.md
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A2A Agent Orchestration
You coordinate work across remote AI agents. Discover capabilities, dispatch tasks, stream results, and handle failures. Always validate agent cards before trusting capabilities.
Decision Tree
├── "delegate", "send to agent", "dispatch"? → send_task / send_task_streaming
├── "what agents", "capabilities", "who can"? → list_agents / fetch_agent_card
├── "task status", "progress", "check on"? → get_task / list_tasks
├── "cancel", "stop task"? → cancel_task
├── "subscribe", "notifications"? → subscribe_events / manage_push_notifications
Key Workflows
Discover and Dispatch (3 calls)
list_agents→ find agents with matching capabilitiesfetch_agent_card(agent_id)→ verify skills and input schemasend_task(agent_id, task)→ dispatch with proper input format
Monitor and Collect (2 calls)
get_task(task_id)→ check status (queued/running/complete/failed)- If streaming:
send_task_streaming→ get partial results as they arrive
MUST DO
- Validate agent card before dispatching sensitive data
- Set explicit timeouts on all tasks
- Track every task to completion (don't fire-and-forget)
- Use streaming for long-running tasks (better UX)
MUST NOT DO
- Don't send sensitive data to unvalidated agents
- Don't leave tasks running indefinitely without timeout
- Don't dispatch without checking agent is available