detecting-data-anomalies
Investigate outliers, rare events, spikes, and suspicious records in datasets. Use as an explicit anomaly-analysis helper when you want concrete anomaly-detection workflow guidance, not generic data validation or end-to-end ML ownership.
npx skills add majiayu000/claude-skill-registry --skill detecting-data-anomalies-foryourhealth111-pix-vibe-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Detecting Data Anomalies ## Positioning Treat this skill as an explicit/manual helper. In governed ML routing, anomaly-detection ownership normally belongs to `anomaly-detector`. ## When to Use Use this skill when: - Reviewing outlier transactions, fraud candidates, sensor spikes, or rare failures - Comparing isolation forest, one-class SVM, LOF, or threshold-based anomaly workflows - Turning suspicious records into a shortlist for human inspection ## Not For / Boundaries - Null/duplicate/schema/range validation: use `data-quality-checker` - Full model training or end-to-end pipeline ownership: use `training-machine-learning-models` - Publication-grade figure production: use `scientific-visualization` ## Typical Outputs - Candidate anomaly-detection methods and thresholds - A review checklist for false positives and false negatives - Suggested tables or plots for the suspicious subset ## Related Skills - `anomaly-detector` as the governed routed owner - `creating-data-visualizations` after anomalies are identified
- Positioning
- When to Use
- Not For / Boundaries
- Typical Outputs
- Related Skills
What does the detecting-data-anomalies skill do?
Investigate outliers, rare events, spikes, and suspicious records in datasets. Use as an explicit anomaly-analysis helper when you want concrete anomaly-detection workflow guidance, not generic data validation or end-to-end ML ownership.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill detecting-data-anomalies-foryourhealth111-pix-vibe-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.