Streamlines laboratory workflow planning by transforming high-level experimental objectives into detailed, execution-ready protocols. This skill manages file I/O, references standardized LA-Bench input formats, and delegates complex logic to a specialized subagent to ensure procedures include precise quantitative specifications, logical temporal ordering, and essential safety considerations. It is particularly useful for researchers and automation engineers needing to convert natural language protocols into structured, reproducible JSON formats that satisfy 'Completed Protocol' requirements for automated laboratories.