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To map system architecture across multiple subsystems, you can dispatch Probe agents to gather parallel context across distinct angles. This investigates broad, ambiguous objectives by synthesizing findings into a consolidated brain memory artifact for future reference.

Parallel context gathering is the process of dispatching Probe agents to investigate multiple angles of an objective simultaneously. It is needed when an objective spans multiple subsystems and dependencies, architecture, and surrounding risks must be mapped before implementation.

Investigating broad, ambiguous objectives requires dispatching Probe agents to gather parallel context across multiple subsystems. The kernel derives angles, manages neural_link communications, collects handoffs within timeouts, and synthesizes findings into a structured memory episode.

Yes, mapping surrounding risks works without external dependencies. The Skill relies on a kernel to derive angles, manage neural_link communications, and collect handoffs within timeouts to synthesize findings into a brain memory artifact.

The best way to consolidate findings from parallel probes is to use a kernel that manages neural_link communications and collects handoffs within timeouts. It synthesizes the gathered findings into a structured brain memory episode for future reference.

You should not use parallel Probe agents when an objective is narrow, clearly defined, or spans only a single subsystem. The approach is designed for broad, ambiguous objectives where dependencies and architecture across multiple subsystems must be mapped.