sp-parallel

To execute parallel queries for independent investigations, dispatch parallel subagents to process multiple independent queries simultaneously. This accelerates research and reduces the time required for tasks like multi-file exploration.

Yes, you can use parallel processing for multi-file exploration and research. The skill distributes independent investigation tasks across multiple subagents to handle them simultaneously without dependency.

Run ad-hoc parallel queries to research multiple third-party repositories by dispatching a command with the target repositories. The skill simultaneously queries each repository's purpose, license, features, and potential conflicts.

Parallel query execution requires the target task to be well-decomposed into manageable subtasks. This ensures independent queries can be distributed across subagents and handled simultaneously without dependency.

The best way to investigate compatibility across multiple independent targets is dispatching parallel queries to simultaneously explore each target. This ad-hoc approach processes independent investigations concurrently to reduce research time.

You should not use parallel subagents for task distribution when queries have dependencies on each other. The skill is suited only for independent investigations where each query can be handled in parallel without relying on prior results.