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Parallel codebase search uses multiple internal agents to explore code and documentation simultaneously. It orchestrates direct tool integration to surface usage patterns, symbol references, and dependencies across large repositories for rapid discovery.

Exhaustive search across distributed documentation uses coordinated internal agents working in parallel to surface references and dependencies. It aggregates unified results, returning a comprehensive map of where functions or APIs are utilized across the codebase.

Yes, parallel agents can explore code and external documentation simultaneously. The skill orchestrates multiple internal agents to perform parallelized exploration across large repositories and distributed documents, aggregating unified results for complete visibility.

Yes, parallel search is designed for large repositories to map symbol references and patterns. It applies parallel task orchestration and tool fusion to surface comprehensive dependencies and usage references, providing rapid discovery across massive codebases.

To get a complete inventory of codebase dependencies using parallel search, activate the skill to launch exploratory tasks across code and docs. It returns a unified aggregation of findings, mapping out patterns, references, and dependencies comprehensively.

Avoid using parallel agents for codebase search on small repositories or single-file queries where comprehensive discovery is unnecessary. The orchestration overhead is designed for large repositories and distributed documents where rapid, exhaustive pattern and dependency mapping is required.