sub-team-lead

Multi-expert coordination classifies user requests and routes them to suitable experts for sequential or parallel workflows. It aggregates results into a synthesized report with guardrails for timeouts, retries, and escalation.

Expert routing automation analyzes user requests and assigns them to the most suitable experts. It manages DevOps handoffs through deterministic phase-based protocols and sister-skill invocations to enable structured multi-expert collaboration.

To start orchestrating multi-domain requests, input the user request and the system automatically classifies it and begins coordinating the appropriate experts. It applies deterministic phase-based protocols to manage sequential and parallel expert workflows.

Yes, jq is a required dependency for multi-expert orchestration. It supports the deterministic phase-based protocols, request classification, and result aggregation across API design and code review tasks.

Phase-based protocols for team orchestration include built-in guardrails for timeouts, retries, and escalation to manage limitations. However, coordination effectiveness depends on accurate request classification and the availability of suitable sister-skills for expert routing.