Individual skill
explaining-machine-learning-models
Explain trained machine learning models through feature attribution, local explanations, and behavior summaries. Use as an explicit/manual helper once a model already exists, not for training ownership, leakage auditing, or general ML strategy selection.
bundled/skills/explaining-machine-learning-models/SKILL.md
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- Last checked
- Nov 11, 2026
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- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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SKILL.mdcore · 1,530 bytesassets/README.mddoc · 362 bytesassets/example_explanation.jsonasset · 3,568 bytesassets/explanation_template.htmlasset · 3,929 bytesassets/visualization_styles.cssasset · 2,589 bytesreferences/README.mddoc · 551 bytesscripts/README.mddoc · 407 bytesscripts/data_preprocessing.pyruns · 2,857 bytesscripts/explain_model.pyruns · 2,925 bytesscripts/feature_importance.pyruns · 2,881 bytes
Read excerpt
# Model Explainability Tool
## Positioning
Treat this skill as an explicit/manual helper for interpretability work.
## When to Use
Use this skill when:
- Understand why a machine learning model made a specific prediction.
- Identify the most important features influencing a model's output.
- Debug model performance issues by identifying unexpected feature interactions.
- Communicate model insights to non-technical stakeholders.
- Ensure fairness and transparency in model predictions.
