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model-explainability-tool

model-explainability-tool

Build model explainability tool operations. Auto-activating skill for ML Training. Triggers on: model explainability tool, model explainability tool Part of the ML Training skill category. Use when working with model explainability tool functionality. Trigger with phrases like "model explainability tool", "model tool", "model".

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill documentation

GitHub

name: model-explainability-tool description: 'Build model explainability tool operations. Auto-activating skill for ML Training.

Triggers on: model explainability tool, model explainability tool

Part of the ML Training skill category. Use when working with model explainability tool functionality. Trigger with phrases like "model explainability tool", "model tool", "model".

' allowed-tools: Read, Write, Edit, Bash(python:), Bash(pip:) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

  • ai
  • machine-learning compatibility: Designed for Claude Code

Model Explainability Tool

Overview

This skill provides automated assistance for model explainability tool tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

  • Mention "model explainability tool" in your request
  • Ask about model explainability tool patterns or best practices
  • Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.

Instructions

  1. Provides step-by-step guidance for model explainability tool
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with model explainability tool" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of ml training concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Related Skills

Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn

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