view --main feature-importance-analyzer-skill-dlya-analiza-vazhnosti-priznakov.md
feature-importance-analyzer: Скилл для анализа важности признаков
//
Анализ операций анализа важности признаков. Автоматически активируемая функция для машинного обучения. Запускается при: анализе важности признаков, анализе важности признаков. Является частью категории "Машинное обучение". Используйте, когда анализируете или проверяете анализ важности признаков. Активируйте с помощью фраз, таких как "анализ важности признаков", "анализатор признаков", "анализ важности признаков r".
readonly
--- lines
---
name: "feature-importance-analyzer"
description: |
Analyze feature importance analyzer operations. Auto-activating skill for ML Training.
Triggers on: feature importance analyzer, feature importance analyzer
Part of the ML Training skill category. Use when analyzing or auditing feature importance analyzer. Trigger with phrases like "feature importance analyzer", "feature analyzer", "analyze feature importance r".
allowed-tools: "Read, Write, Edit, Bash(python:*), Bash(pip:*)"
version: 1.0.0
license: MIT
author: "Jeremy Longshore <jeremy@intentsolutions.io>"
compatible-with: claude-code
---
# Feature Importance Analyzer
## Overview
This skill provides automated assistance for feature importance analyzer tasks within the ML Training domain.
## When to Use
This skill activates automatically when you:
- Mention "feature importance analyzer" in your request
- Ask about feature importance analyzer 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 feature importance analyzer
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 feature importance analyzer"
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
| Error | Cause | Solution |
|-------|-------|----------|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify 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
Инициализация мануала...
package.json
$ install --global
skills.sh
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/skills/07-ml-training/feature-importance-analyzer
$ download --local
man
[HINT] Скачивает всю директорию скилла с GitHub: SKILL.md и все связанные файлы