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", "i...
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Installation for Agentic Skill
View all platforms →skilz install jeremylongshore/claude-code-plugins-nixtla/explaining-machine-learning-modelsskilz install jeremylongshore/claude-code-plugins-nixtla/explaining-machine-learning-models --agent opencodeskilz install jeremylongshore/claude-code-plugins-nixtla/explaining-machine-learning-models --agent codexskilz install jeremylongshore/claude-code-plugins-nixtla/explaining-machine-learning-models --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/jeremylongshore/claude-code-plugins-nixtlacp -r claude-code-plugins-nixtla/archive/backups-20251108/skill-structure-cleanup-20251108-073936/plugins/ai-ml/model-explainability-tool/skills/model-explainability-tool ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- jeremylongshore (GitHub)
- Repository
- claude-code-plugins-nixtla
- Stars
- 2
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- machine learning
- Market Score
- 17
Browse Category
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