KS
Killer-Skills

model-explainability-tool — Categories.community

v1.0.0
GitHub

About this Skill

Perfect for Machine Learning Agents needing automated model explainability and interpretability capabilities. 270+ Claude Code plugins with 739 agent skills. Production orchestration patterns, interactive tutorials (11 Jupyter notebooks), and CCPI package manager. 4.13.0

jeremylongshore jeremylongshore
[0]
[0]
Updated: 2/20/2026

Quality Score

Top 5%
65
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add jeremylongshore/claude-code-plugins-plus-skills/model-explainability-tool

Agent Capability Analysis

The model-explainability-tool MCP Server by jeremylongshore is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion.

Ideal Agent Persona

Perfect for Machine Learning Agents needing automated model explainability and interpretability capabilities.

Core Value

Empowers agents to provide transparent and actionable insights into model performance using production orchestration patterns, interactive Jupyter notebooks, and the CCPI package manager, leveraging 270+ Claude Code plugins and 739 agent skills for tasks like data preparation, model training, hyperparameter tuning, and experiment tracking.

Capabilities Granted for model-explainability-tool MCP Server

Automating model explainability reports for ML stakeholders
Generating interactive tutorials for model interpretability using Jupyter notebooks
Debugging model performance issues with hyperparameter tuning and experiment tracking

! Prerequisites & Limits

  • Requires Claude Code environment and plugins
  • Limited to ML Training domain and model explainability tool tasks
Project
SKILL.md
1.7 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
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# Tags

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SKILL.md
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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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