parallel-agents

Multi-agent orchestration coordinates specialized AI agents to execute complex code analysis tasks. This skill breaks down intricate problems into manageable sub-tasks, assigning each to a domain-specific agent for comprehensive execution.

Multi-agent orchestration is the coordination of specialized AI agents to handle diverse domain expertise. It enables sophisticated workflows by leveraging built-in agents alongside custom agents for comprehensive task execution.

Perform a comprehensive security audit by sequentially invoking custom agents like the security-auditor, performance-optimizer, and test-engineer. This coordinates specialized expertise to analyze vulnerabilities, bottlenecks, and testing gaps.

Yes, you can use custom domain-specific agents alongside built-in agents like Explore and Plan. This facilitates complex task execution by combining native orchestration with specialized domain expertise.

The best way to decompose complex tasks is using a multi-agent orchestration skill that breaks down intricate problems into manageable sub-tasks. This allows specialized agents to execute diverse domain expertise sequentially.

Use multi-agent coordination when tasks require diverse domain expertise that a single agent cannot achieve. It is designed for scenarios needing comprehensive analysis, such as multi-faceted feature implementation and in-depth security audits.