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Explaining Machine Learning Models

This skill enables Claude 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. The skill leverages techniques like SHAP and LIME to generate explanations. It is useful when debugging model performance, ensuring fairness, or communicating model insights to stakeholders. Use this skill when the user mentions "explain model", "interpret model", "feature importance", "SHAP values", or "LIME explanations".

Overall
score

18%

Does it follow best practices?

Validation for skill structure

Validation failed for this skill
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SKILL.md
Review
Evals

Activation

Skipped

Implementation

Skipped

Validation

81%

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

name_field

'name' must contain only lowercase letters, digits, and hyphens

Fail

metadata_version

'metadata' field is not a dictionary

Warning

license_field

'license' field is missing

Warning

Total

13

/

16

Failed

Reviewed

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.