Agent Orchestration Protocol FAQs

Question 1

When does the skill switch from parallel to sequential execution?

Accepted Answer

The fallback strategy is triggered if the failure rate of dispatched agents exceeds 50%, signaling a systemic issue that requires the lead agent to take over the remaining tasks sequentially.

Question 2

How are file conflicts handled in parallel mode?

Accepted Answer

The Team Swarm protocol uses partitioning strategies by directory or file and utilizes dependency mapping (addBlockedBy) to prevent two agents from editing the same code simultaneously.

Question 3

What is the retry policy for failed agents?

Accepted Answer

The protocol allows for a maximum of 2 retries (3 attempts total) where each retry escalates prompt specificity. If all retries fail, the lead agent 'absorbs' the work to ensure completion.

Question 4

What is the 'Output Contract' mentioned in the protocol?

Accepted Answer

It is a requirement for every subagent to write a structured JSON status file to a specific temporary directory as its final action, serving as the source of truth for task success.

Question 5

How does this skill prevent subagent failures?

Accepted Answer

It implements a pre-flight checklist that verifies tool capability matches, file access, and prompt self-containment before any agent is dispatched, addressing the most common causes of failure.

Agent Orchestration Protocol

Características Principales

Casos de Uso

Agent Orchestration Protocol

Características Principales

Casos de Uso