发现 tools data engineering 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Expert database design, queries, and optimization for both SQL (Neon serverless PostgreSQL) and NoSQL (MongoDB) databases. Use when designing database schemas, writing queries, creating migrations, optimizing p...
Instructions for generating synthetic airline data with Synth CLI and loading it into SQLite.
Apache Kafka event publishing with circuit breaker, failure recovery, and Smartico CRM integration. Use when: publishing domain events, consuming messages, handling event failures, or integrating with Smartico.
High-performance DataFrame library usage. Covers Lazy API, Wrangling, Aggregation.
This skill provides Drizzle ORM patterns and database conventions for the fitness app. Use when creating queries, implementing RLS policies, or working with database schemas.
Creates JPA entities following best practices.
Execute data-driven refactorings from data-driven-refactor reports. Use this when the user wants to implement data extraction recommendations by creating data files and refactoring scripts.
Convert natural language queries to SQL for PostgreSQL databases. Use this skill when users want to query pg_mcp_test_small (blog), pg_mcp_test_medium (ecommerce), or pg_mcp_test_large (ERP) databases using nat...
Transform, clean, and reshape data using pandas and numpy for ETL and data preprocessing. WHEN: Manipulating DataFrames, cleaning datasets, reshaping data (pivot, melt), merging/joining tables, data normalizati...
Convex function patterns, validators, queries with indexes, mutations with auth checks, and real-time data. Use when writing Convex queries, mutations, actions, schema changes, or debugging Convex code.
Pytest testing patterns for data pipelines, Airflow DAGs, and BigQuery queries. Use when writing unit tests for DAG tasks, integration tests with BigQuery, property-based tests with Hypothesis, data contract va...
Apache Airflow DAG development with TaskFlow API, Google Cloud operators (BigQuery, GCS), dbt integration, and dynamic DAG generation. Use when creating or modifying Airflow DAGs, implementing data pipeline orc...
BigQuery query optimization, feature engineering, and BigQuery ML models for recommendation systems. Use when writing optimized SQL queries, implementing partitioning/clustering, creating materialized views, en...
Jenkins CI/CD pipelines for data platforms with Kubernetes pod agents. Use when creating Jenkinsfiles, implementing parallel linting stages (Ruff, Black, Mypy), DAG validation with DagBag, security scanning (Ba...
guidance on how to properly do data migrations in Convex
PostgreSQL problem-solving patterns for production systems. Use when: query optimization, concurrency issues, zero-downtime migrations, scaling decisions, debugging slow queries, implementing patterns from data...
Creates Robot Framework test cases for uploading files to SnapLogic SLDB. Use when the user wants to upload files (JSON, CSV, expression libraries, pipelines, JAR files, etc.), needs to know which destination p...
Creates Robot Framework test cases for uploading files to SnapLogic SLDB. Use when the user wants to upload files (JSON, CSV, expression libraries, pipelines, JAR files, etc.), needs to know which destination p...
Supabase development standards. Triggers when working with Supabase projects, Row Level Security, real-time subscriptions, or Edge Functions.
DBA Architect Agent. 스키마 설계, 정규화, 데이터 모델링을 담당합니다.
Executive CDO Agent. 데이터 전략, 데이터 거버넌스, AI/ML 전략을 담당합니다.
Data Engineer Agent. ETL 파이프라인, 데이터 웨어하우스, 데이터 레이크 구축을 담당합니다.
Use when working with wcdb
Generate real Cassandra 5.0 test data using Docker containers, export SSTables with proper directory structure, validate parsing against sstabledump, and manage test datasets. Use when working with test data ge...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。