인터페이스는 현지화되어 있으며, Skill 소개와 설명 문서는 선택한 언어로 AI가 자동 번역합니다. 코드·명령어·경로·전문 용어는 원문을 유지하며 원작자 문서가 우선합니다.
Skills 둘러보기
데이터 및 연구 · SKILL.md

data-augmentation-pipeline

data-augmentation-pipeline

Process data augmentation pipeline operations. Auto-activating skill for ML Training. Triggers on: data augmentation pipeline, data augmentation pipeline Part of the ML Training skill category. Use when working with data augmentation pipeline functionality. Trigger with phrases like "data augmentation pipeline", "data pipeline", "data".

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: "data-augmentation-pipeline" description: | Process data augmentation pipeline operations. Auto-activating skill for ML Training. Triggers on: data augmentation pipeline, data augmentation pipeline Part of the ML Training skill category. Use when working with data augmentation pipeline functionality. Trigger with phrases like "data augmentation pipeline", "data pipeline", "data". allowed-tools: "Read, Write, Edit, Bash(python:), Bash(pip:)" version: 1.0.0 license: MIT author: "Jeremy Longshore jeremy@intentsolutions.io"

Data Augmentation Pipeline

Overview

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.

Instructions

  1. Provides step-by-step guidance for data augmentation pipeline
  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 data augmentation pipeline" 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

저장한 Skills