Agent skill · data analytics · jeremylongshore
data-augmentation-pipeline
Process data augmentation pipeline operations. Auto-activating skill
Why this skill is useful
Generates production-ready code and configurations for data augmentation pipelines that the AI wouldn't reliably produce on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
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 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
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/data-augmentation-pipeline