Data Quality Auditor
技能 已验证 活跃Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and outliers, surface structural issues, and produce an actionable remediation plan.
Ensure the integrity and reliability of datasets by systematically identifying and reporting on quality issues, enabling informed decision-making and preventing downstream analysis errors.
功能
- Comprehensive data profiling (shape, types, distributions)
- Missing value analysis and mechanism classification (MCAR/MAR/MNAR)
- Outlier detection using IQR, Z-score, and modified Z-score methods
- Generation of a Data Quality Score (DQS) with actionable remediation plans
- Support for monitoring threshold generation for data pipelines
使用场景
- Auditing new datasets before ingestion into analytical pipelines
- Investigating suspected data quality issues in existing datasets
- Establishing data quality benchmarks for ongoing monitoring
- Assessing dataset readiness for machine learning model training
非目标
- Designing or optimizing database schemas
- Building or managing ETL pipelines
- Performing financial model validation
- Performing automated data cleaning without domain review
安装
请先添加 Marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install data-quality-auditor@claude-code-skills质量评分
已验证类似扩展
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Meta Observer
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