About
The Langfuse Dataset Management skill enables developers to bridge the gap between LLM observability and evaluation by streamlining the curation of production traces into structured datasets. It provides a powerful command-line interface for creating datasets, batch-adding traces for regression testing, and maintaining 'golden sets' of high-quality model outputs. By automating the extraction of trace inputs and metadata into schemas like eval_infra_v1, this skill simplifies the creation of validation pipelines and helps maintain rigorous performance standards for AI applications.
