batch-run

To execute parallel tasks across multiple entities, this skill dispatches multiple subagents simultaneously to process lists of products, competitors, or landing pages. It automates the orchestration of repetitive tasks to ensure consistent output and efficient scaling without manual bottlenecks.

Scaling competitor research and content generation across diverse datasets is achieved by fanning out a specific skill across N entities in parallel. The orchestrator dispatches subagents to process the defined entity lists, aggregating individual results into a single, structured batch execution report for easy review.

Yes, orchestrating parallel subagent dispatch requires a valid skill-catalog entry and defined entity lists. These prerequisites maintain operational consistency and prevent state conflicts during high-volume parallel execution across multiple subagents.

Context injection for product messaging automatically propagates shared upstream context and client-specific brand rules to every subagent run. This ensures that all parallelized executions maintain the required brand consistency and operational parameters across the entire batch.

Batch execution requires defined entity lists and a valid skill-catalog entry to prevent state conflicts. Without proper upstream context and valid catalog entries, parallel subagent dispatch may fail to maintain operational consistency across diverse datasets.