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Detect anomalies in data with statistical and ML methods
claude install community/anomaly-detectorAnomaly detection toolkit: apply Z-score, IQR, isolation forest, and autoencoders to detect outliers, generate alerts with context, and produce investigation reports.
mkdir -p ~/.claude/skills/anomaly-detector~/.claude/skills/anomaly-detector/SKILL.mdResulting file structure:
~/.claude/
skills/
anomaly-detector/
SKILL.md <-- skill definitionSkills are loaded automatically by Claude Code when you start a new session. The skill name and description in the frontmatter determine when Claude triggers it.
Recommended from shared domain, career, and tool overlap with Anomaly Detector
Build data pipelines with extraction, transformation, and loading
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Generate data pipeline tests that catch schema and quality issues
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Analyze datasets with statistics, correlations, and visualizations
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Generate complete Jupyter notebooks for EDA and model training
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Generate publication-quality charts from any data format
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Generate data dictionaries with business context from database schemas
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Anomaly Detector