pipeline-runner

You can automate research pipelines for multiple stock tickers by running batch processes with configurable cost ceilings. This Skill executes the pipelines and manages the batch execution automatically, reducing manual effort.

Yes, you can resume batch processing from a specific ticker. This functionality allows you to continue incomplete research pipelines without restarting the entire batch from the beginning.

Yes, you need access to a Python environment and its associated dependencies to run the research pipelines. The Skill operates within this environment to execute batch processes and manage tickers.

The Skill synchronizes research results by running post-processing tasks that commit batch summaries to a database and save notes to version control systems automatically after pipeline execution.

To control costs during batch research pipelines, you can configure specific cost ceilings and tiers. This ensures automated batch processing for tickers stays within your defined budget constraints.

A key limitation is that incomplete batch processing requires manual resuming from a specific ticker. Additionally, the pipeline relies entirely on a local Python environment and its dependencies to function correctly.