Навыков: 36 916. Сортировка по числу звёзд.
End-to-end data pipeline for empirical research: fetch economic data from APIs (FRED, World Bank, IMF, BLS, OECD, Yahoo...
Designs ETL/ELT data pipelines with proper extraction, transformation, and loading patterns, including orchestration, er...
Build orchestration pipelines with idempotency.
Data pipeline design for ETL/ELT workflows, streaming architectures, data validation, and orchestration. Use when buildi...
Expert data engineer for ETL/ELT pipelines, streaming, data warehousing. Activate on: data pipeline, ETL, ELT, data ware...
Develop and manage data ingestion, processing, and transformation pipelines for pilot projects. Use when automating ETL...
ETL/ELT data pipelines, data lakehouse architecture, Apache Spark/DuckDB transformations, and data quality checks.
Expert guide for Data Pipelines, ETL/ELT, and Analytics Engineering. Covers dbt, Apache Airflow, Dagster, BigQuery, Clic...
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...
Design an ETL/ELT data pipeline specification. Use when asked to design a data pipeline, spec an ETL or ELT process, doc...
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...
Plan data workflows, metrics, and pipelines — schema design, validation, transformation.
对行式数据执行非破坏式、可审计的数据准备，适用于用户明确要求去重、缺失值填充、类型转换、字段重命名、选列或排序的场景。
Load and preprocess imaging mass cytometry (IMC) and MIBI data. Covers MCD/TIFF handling, hot pixel removal, and image n...
Data privacy and regulatory compliance specialist for GDPR, CCPA, HIPAA, and international data protection laws. Use whe...
Detect PII, mask data, and manage consent and encryption.
Process JSON with jq and YAML/TOML with yq. Filter, transform, query structured data efficiently. Triggers on: parse JSO...
Polibaseのデータ処理ワークフローとパイプラインを説明します。議事録処理、Web scraping、政治家データ収集、話者マッチングなどの処理フロー、依存関係、実行順序を理解する際にアクティベートされます。
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。
Skill: data-processor
Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh...
为数据库查询结果和结构化文件生成通用数据画像，适用于用户明确要求字段画像、数据概览、候选主键或时间列识别的场景。
Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for dat...
Profile datasets to understand schema, quality, and characteristics. Use when analyzing data files (CSV, JSON, Parquet),...
Generate comprehensive data profiles for DataFrames. Use for EDA, data discovery, and understanding dataset characterist...
Swiss data protection — nDSG/FADP framework, GDPR adequacy, cantonal DP laws (IDG/KDSG/LIPAD), DSFA/DPIA, cross-border t...
Use this skill when implementing data validation, data quality monitoring, data lineage tracking, data contracts, or Gre...
Ensures data accuracy, completeness, and consistency via validation, cleaning, and monitoring in data pipelines.
Run data quality checks on Snowflake tables
Data quality testing with dbt tests, Great Expectations, and monitoring.
Audit a dataset for the quality problems that silently break analysis — missingness, duplicates, outliers, type and rang...
Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and o...
数据质量审计器 V5标准 - 自动化数据质量检查和报告： 1. S1: 输入数据集/数据管道/质量需求 2. S2: 质量审计（完整性→准确性→一致性→时效性） 3. S3: 输出质量报告+改进建议 4. S4: 可集成到数据处理流程自动触...
Assess construction data quality using completeness, accuracy, consistency, timeliness, and validity metrics. Automated...
对已授权的行式查询结果执行空值率、重复值和数值异常检查，适用于用户明确要求核查数据质量、完整性、重复记录或异常值的场景。
Data Quality Checker - Auto-activating skill for Data Pipelines. Triggers on: data quality checker, data quality checker...
Validate dataset completeness and basic correctness before downstream analysis. Use for nulls, duplicates, schema drift,...
Validate data quality checker operations. Auto-activating skill for Data Pipelines. Triggers on: data quality checker, d...
Data Quality Checks are automated tests that validate data against predefined rules and expectations. They act as the "u...
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...
Design the data quality checks for a table or pipeline across the standard dimensions. Use when asked to add data qualit...
Enforce data quality rules and validations on pilot data streams and repositories. Use when checking for missing values,...
Implement validation, profiling, and anomaly detection.