explaining-machine-learning-models

21

| 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", "in

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Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install jeremylongshore/claude-code-plugins-plus-skills/explaining-machine-learning-models
skilz install jeremylongshore/claude-code-plugins-plus-skills/explaining-machine-learning-models --agent opencode
skilz install jeremylongshore/claude-code-plugins-plus-skills/explaining-machine-learning-models --agent codex
skilz install jeremylongshore/claude-code-plugins-plus-skills/explaining-machine-learning-models --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
2. Copy the agent skill directory:
cp -r claude-code-plugins-plus-skills/backups/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:

Related Agentic Skills

Agentic Skill Details

Type
Non-Technical
Meta-Domain
general
Primary Domain
general
Sub-Domain
machine learning model skill
Market Score
21

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