sadd:do-in-parallel

To run batch tasks in parallel, you dispatch sub-agents across files or named targets. This Skill coordinates execution by applying deterministic per-target prompts and collecting structured outputs automatically.

Analyzing multiple modules in parallel is best handled by launching sub-agents with a unified model selection strategy. The system balances cost using opus, sonnet, or haiku models while maintaining independence checks.

To ensure consistent results across many files, parallel orchestration applies zero-shot Chain-of-Thought reasoning with mandatory self-critique. This quality-focused prompting enforces deterministic outputs per target.

Yes, you can generate documentation for multiple components in parallel safely. The workflow includes built-in independence checks to ensure targets execute without shared state conflicts during dispatch.

No, you do not need to manually select models for parallel sub-agent dispatch. The orchestration applies a unified model selection strategy that automatically balances cost across opus, sonnet, and haiku models.

A key limitation of parallel task dispatch is the requirement for target independence. The system performs safety checks to prevent shared state conflicts, meaning tasks dependent on prior outputs cannot run simultaneously.