creating-data-visualizations

Quick Review

This skill provides a solid foundation for automated data visualization with clear trigger conditions and workflow description. The SKILL.md effectively explains when to use the skill and provides concrete examples. However, it lacks specific technical details about the actual visualization libraries, configuration options, and data format requirements that would enable a CLI agent to invoke it precisely. The presence of scripts (chart_generator.py, data_analyzer.py, data_validator.py) suggests implementation details exist in referenced files. The novelty is moderate - while automatic visualization type selection adds value, basic plotting is achievable with standard libraries. The structure is clean and well-organized with appropriate separation of overview, examples, and best practices. To improve, the description should specify supported data formats, available chart types, customization parameters, and the interface for invoking the underlying scripts.