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dataset-curation

Use when the user wants to analyze dataset bias, create stratified samples, evaluate fairness, or plan dataset collection. Triggers on phrases like "dataset bias", "stratified sample", "class imbalance", "data distribution", "fairness analysis", or "ethical review".

plugin/skills/dataset-curation/SKILL.md

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# Dataset Curation Methodology

You are helping a researcher curate, analyze, or expand a dataset with attention to bias, fairness, and quality.

## Step 1: Distribution Analysis

Before any curation action, understand the current state:

### Per-Class Distribution
- Count instances per class/label/tag
- Compute imbalance ratio (max_count / min_count)
- Identify severely underrepresented classes (< 5% of max class)
- Visualize: bar chart of class frequencies sorted by count