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data-augmentation-pipeline

data-augmentation-pipeline

Data Augmentation Pipeline - Auto-activating skill for ML Training. Triggers on: data augmentation pipeline, data augmentation pipeline Part of the ML Training skill category.

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Documentation de la Skill

GitHub

name: data-augmentation-pipeline description: | Data Augmentation Pipeline - Auto-activating skill for ML Training. Triggers on: data augmentation pipeline, data augmentation pipeline Part of the ML Training skill category. allowed-tools: Read, Write, Edit, Bash(python:), Bash(pip:) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Data Augmentation Pipeline

Purpose

This skill provides automated assistance for data augmentation pipeline tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

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

Capabilities

  • Provides step-by-step guidance for data augmentation pipeline
  • Follows industry best practices and patterns
  • Generates production-ready code and configurations
  • Validates outputs against common standards

Example Triggers

  • "Help me with data augmentation pipeline"
  • "Set up data augmentation pipeline"
  • "How do I implement data augmentation pipeline?"

Related Skills

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

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