parallel-deep-research

This Skill automates multi-turn context and iterative enrichment for exhaustive deep research sessions by orchestrating parallel-cli tasks, handling long-running analysis on demand. You receive a run_id and a monitoring URL to track progress.

Yes, you can continue an analysis using previous interaction context by applying the --previous-interaction-id flag when launching your deep research session. This supports multi-turn context chaining and iterative enrichment for follow-up analysis.

Yes, you need internet access and parallel-cli installed to run long-running research sessions. These dependencies are required to orchestrate deep-research tasks, support processor selection, and return the run_id, interaction_id, and monitoring URL.

The best way to monitor progress of an exhaustive research task is using the monitoring URL provided after launch. The session returns this URL along with a run_id and interaction_id to track your parallel-cli deep-research execution.

Yes, the --no-wait flag works with processor selection to prevent blocking during deep research task execution. This allows the parallel-cli session to launch and return the run_id immediately without waiting for the processor to finish.