Vibe-Skills data-quality-checker

install

source · Clone the upstream repo

git clone https://github.com/foryourhealth111-pixel/Vibe-Skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/foryourhealth111-pixel/Vibe-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/bundled/skills/data-quality-checker" ~/.claude/skills/foryourhealth111-pixel-vibe-skills-data-quality-checker && rm -rf "$T"

manifest: bundled/skills/data-quality-checker/SKILL.md

Data Quality Checker

Purpose

Use this skill when the user needs to know whether the dataset is trustworthy enough to continue.

When to Use

Use this skill when:

Checking null rates, duplicates, invalid categories, or out-of-range values
Verifying schemas after ETL or data ingestion
Producing a pre-modeling data sanity checklist

Not For / Boundaries

Rare-event or fraud detection: use
```
anomaly-detector
```
Model metrics and benchmark comparisons: use
```
evaluating-machine-learning-models
```
Report authoring and presentation polish: use
```
scientific-reporting
```

Typical Outputs

Data quality scorecards
Column-level issue summaries
Recommended cleaning priorities before modeling or reporting

Related Skills

```
anomaly-detector
```
after the basic data checks pass
```
structured-content-storage
```
if the dataset and outputs need stricter organization