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。
Analyzes and assists with Fujitsu mainframe systems including FACOM, PRIMERGY, BS2000/OSD, OSIV/MSP, OSIV/XSP, NetCOBOL, PowerCOBOL, and Fujitsu JCL. Extracts business logic from Fujitsu COBOL programs, analyze...
Guides database migration projects including engine changes (MySQL to PostgreSQL, Oracle to PostgreSQL, SQL Server to PostgreSQL), version upgrades, cloud migrations (on-premise to RDS/Cloud SQL/Azure Database)...
Analyzes legacy COBOL programs and JCL jobs to assist with migration to modern Java applications. Extracts business logic, identifies dependencies, generates migration reports, and creates Java implementation s...
Build and run LLM-powered data processing pipelines with DocETL using Claude models. Use when users say "docetl", want to analyze unstructured data, process documents, extract information, or run ETL tasks on t...
Prisma ORM expert for schema design, migrations, query optimization, relations modeling, and database operations. Use PROACTIVELY for Prisma schema issues, migration problems, query performance, relation design...
Expertise in API design, database integration, and service connectivity. Activates when working with "API", "database", "webhook", "service", "integrate", "connect", or system architecture.
Google Cloud Platform services including GKE, Cloud Run, Cloud Storage, BigQuery, and Pub/Sub. Activate for GCP infrastructure, Google Cloud deployment, and GCP integration.
This skill should be used when the user asks to "create MongoDB model", "define Beanie document", "write MongoDB query", "create aggregation pipeline", "run database migration", "index MongoDB collection", or m...
Database design, SQL queries, migrations, and optimization. Activate for PostgreSQL, MySQL, SQLite, schema design, queries, indexes, and data modeling.
Use this agent when reviewing PRs that touch database migrations, data backfills, or any code that transforms production data. This agent validates ID mappings against production reality, checks for swapped val...
Use this agent when you need to analyze code for performance issues, optimize algorithms, identify bottlenecks, or ensure scalability. This includes reviewing database queries, memory usage, caching strategies,...
Use this agent when you need to review database migrations, data models, or any code that manipulates persistent data. This includes checking migration safety, validating data constraints, ensuring transaction...
Search app data flow - query flow diagram (user input → debounce → alias check → provider dispatch → aggregate → rank → UI), state management patterns (mutableStateOf, mutableStateListOf, StateFlow, SharedFlow)...
Database schema change and Alembic migration expertise. Use when modifying database models, creating migrations, handling rollbacks, or troubleshooting migration issues. Ensures data integrity and safe schema e...
Delta Live Tables (DLT) pipeline patterns and examples for building declarative, self-healing data pipelines with automatic quality enforcement and lineage tracking.
Modern deployment with Databricks Asset Bundles (DAB), supporting multi-environment configurations and CI/CD integration.
Bronze/Silver/Gold layer design patterns and templates for building scalable data lakehouse architectures. Includes incremental processing, data quality checks, and optimization strategies.
Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.
Delta Sharing configuration, monitoring, and recipient management for secure cross-organization data sharing.
Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.
pytest fixtures and integration testing patterns for Spark applications, including DataFrame assertions and mock data generation.
GitHub Actions and CI/CD patterns for Databricks, including automated testing, deployment, and quality gates.
Specialized skill for database operations with Drizzle ORM and Neon PostgreSQL. Use when working with schema definitions, queries, migrations, or database optimization.
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
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。