Which skill should be used to process and map document structures in a knowledge store to defined formats?

The skill that should be used to process and map document structures in a knowledge store to defined formats is the Shaper. This skill is specifically designed to handle the transformation of document data into structured formats that align with a specified schema. By utilizing the Shaper, you can ensure that the data extracted from documents is accurately represented in a format that is both useful and easy to navigate within the knowledge store.

The Shaper is essential in scenarios where the input document's structure may vary, and there is a need to create a consistent output format across different inputs. This capability makes it particularly valuable for applications that integrate diverse data into a cohesive system, allowing users to derive insights and information more effectively.

Other skills, like the Extractor, typically focus on pulling specific pieces of information from documents rather than structuring the data itself. Merging refers to combining multiple data inputs into a single output rather than formatting a document structure. The Classifier, while useful for categorizing documents based on their content, does not specifically address the task of mapping and shaping the structure of the document data in a predefined format. Thus, the Shaper is the most appropriate choice for processing and mapping document structures to defined formats in a knowledge store.