83,201 skills sorted by stars.
Develop and manage data ingestion, processing, and transformation pipelines for pilot projects. Use when automating ETL...
Design and troubleshoot robust data pipelines with comprehensive quality validation, error handling, and monitoring capa...
Monitor and troubleshoot dual-pipeline data collection systems on GCP. This skill should be used when checking pipeline...
Follow these patterns when implementing data pipelines, ETL, data ingestion, or data validation in OptAIC. Use for point...
Process data files through transformation pipelines with validation, cleaning, and export. Use for CSV/Excel/JSON data p...
Use this skill when building data pipelines, ETL/ELT workflows, or data transformation layers. Triggers on Airflow DAG d...
Apply Data Pipelines Pocket Reference practices (James Densmore). Covers Infrastructure (Ch 1-2: warehouses, lakes, clou...
Understanding and managing what digital services collect, store, share, and infer about you. Covers password security an...
Draft and fill data privacy agreement templates — DPA, data processing agreement, GDPR, HIPAA BAA, business associate ag...
Detect PII, mask data, and manage consent and encryption.
This skill enables Claude to automatically scan code and configuration files for potential data privacy vulnerabilities...
Process JSON with jq and YAML/TOML with yq. Filter, transform, query structured data efficiently. Triggers on: parse JSO...
2. 数据清洗：去重、填充缺失值、格式标准化
数据处理与分析技能。当用户需要对知识库检索结果进行数据分析、统计计算、格式转换、数据提取或生成报告时使用此技能。支持 Python 脚本执行进行高级数据处理。
Generate comprehensive data profiles for DataFrames. Use for EDA, data discovery, and understanding dataset characterist...
Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for dat...
Data quality testing with dbt tests, Great Expectations, and monitoring.
Ensures data accuracy, completeness, and consistency via validation, cleaning, and monitoring in data pipelines.
Run data quality checks on Snowflake tables
Use this skill when implementing data validation, data quality monitoring, data lineage tracking, data contracts, or Gre...
Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and o...
Assess construction data quality using completeness, accuracy, consistency, timeliness, and validity metrics. Automated...
Validate data quality checker operations. Auto-activating skill for Data Pipelines. Triggers on: data quality checker, d...
Validate dataset completeness and basic correctness before downstream analysis. Use for nulls, duplicates, schema drift,...
Implementing comprehensive data quality checks across the data pipeline to ensure accuracy, completeness, and reliabilit...
Generates data quality check code for bauplan pipelines and ingestion workflows. Invoked by the data-pipeline and safe-i...
Data Quality Checks are automated tests that validate data against predefined rules and expectations. They act as the "u...
Enforce data quality rules and validations on pilot data streams and repositories. Use when checking for missing values,...
Implement validation, profiling, and anomaly detection.
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality...
使用 Great Expectations、dbt 测试和 Pandera 实现数据质量验证框架
Techniques and tools for ensuring the accuracy, completeness, and reliability of data across the pipeline.
Define data quality rules, profiling strategies, validation frameworks, and quality metrics.
**This skill is deprecated.** Please refer to the main **Data Validation Rules** skill for comprehensive coverage of dat...
See the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.
Build and refresh eval datasets from Front, run routing evals, and analyze agent response quality.
Data discovery and analysis specialist focused on extracting actionable insights from complex datasets, identifying patt...