parallel-agents

Multi-agent orchestration coordinates specialized AI agents within a single session to handle multi-faceted project reviews. It manages contextual integration across different agent expertise areas like security, performance, and quality without requiring external scripts.

Multi-agent collaboration integrates multiple specialist agents to address diverse aspects of a task. It ensures consistency of context and integration between various agents within a single orchestrated session, simplifying coordination and control.

Yes, you can orchestrate backend and frontend specialist agents in the same session. This skill manages contextual integration between agents directly, eliminating the need for external script dependencies to coordinate the workflow.

The best way to coordinate a security audit and performance review is using an orchestrated session. This approach integrates security-auditor and backend-specialist agents to ensure comprehensive task coverage from various expert angles.

To start a multi-agent review session, use the /orchestrate command followed by the specific agent names and task details. This initiates the coordinated workflow to manage comprehensive task coverage across specialized domains.

The primary limitation of single-session multi-faceted project reviews is managing contextual integration across diverse specialist agents. However, this orchestration approach is specifically designed to maintain consistency without relying on external scripts.