Build this skill enables AI assistant to provide interpretability and explainability for machine learning models. it is triggered when the user requests explanations for model predictions, insights into feature importance, or help understanding model behavior... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
5.2
Rating
0
Installs
Machine Learning
Category
The skill provides a reasonable overview of ML model explainability with clear use cases and examples (SHAP, LIME). However, it lacks concrete implementation details that would enable autonomous execution. The description mentions techniques but doesn't specify how to invoke them or what parameters are needed. The scripts directory suggests supporting files exist (explain_model.py, feature_importance.py), which would contain necessary implementation details. Structure is good with logical sections and examples. Novelty is limited as modern CLI agents with code execution can already implement SHAP/LIME explanations without this skill, though it may provide convenience. The skill would benefit from more specific invocation instructions, parameter schemas, and clearer integration points with the referenced scripts.
jeremylongshore
Skill Author
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