Build and evaluate classification models for supervised learning tasks with labeled data. Use when requesting "build a classifier", "create classification model", or "train classifier". Trigger with relevant phrases based on skill purpose.
4.6
Rating
0
Installs
Machine Learning
Category
This skill provides a reasonable framework for building classification models with clear use cases and examples. However, the description lacks specificity about invocation - it doesn't clearly state what exact phrases or patterns trigger the skill, making it difficult for a CLI agent to know when to use it. The skill references a 'classification-model-builder plugin' that isn't clearly defined or present in the scripts directory. The task knowledge is moderate - while scripts are referenced (data_validator.py, model_builder.py, report_generator.py), the SKILL.md doesn't explain how they work together or what parameters are needed. Structure is decent with good sections, though some are generic boilerplate. Novelty is moderate - while building classification models with proper validation and reporting adds value, the specific workflow automation and parameter handling aren't clearly differentiated from what a capable CLI agent could do with standard ML libraries. The skill would benefit from: clearer trigger patterns, concrete parameter specifications, and more detail on how the components orchestrate the classification pipeline.
jeremylongshore
Skill Author
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