Data Engineering Bundle

Pipeline architecture, dbt models, schema design, lineage docs, and data-quality skills for data engineers.

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Included Skills (65)

  1. Data Enrichment Optimizer — This skill helps RevOps and data engineering teams maximize data quality and minimize costs by optimizing provider selection and waterfall enrichment sequences.
  2. BigQuery AI Analyst — This skill empowers data analysts to perform advanced machine learning, predictive forecasting, and generative AI tasks directly within BigQuery using SQL.
  3. Dbt Transformation Architect — This skill provides production-ready dbt patterns and best practices to help data engineers build scalable, well-documented, and efficient transformation pipelines.
  4. Soda Data Validator — Assists developers in writing YAML-based data quality checks using Soda, ensuring data freshness, completeness, and validity for reliable data pipelines.
  5. BigQuery Data Analyzer — Analyze large datasets using Google BigQuery, enabling data professionals to run SQL queries and build machine learning models.
  6. Embedded Analytics Database — This skill helps data professionals use DuckDB, an embedded analytical database, for local data exploration and ETL pipelines.
  7. Real-Time Analytics Pipeline — This skill helps AI agents build real-time analytics pipelines, including event ingestion, ClickHouse storage, and dashboard wiring for live metrics.
  8. Kafka Event Streaming — Facilitates building event-driven systems using Apache Kafka for users needing message streaming and real-time data processing.
  9. DLT Pipeline Builder — Assists developers in building data pipelines using the open-source dlt Python library for data loading and ingestion.
  10. CSV Data Processor — This skill parses and generates CSV files, assisting developers with data import/export, ETL pipelines, and report generation tasks.
  11. Portable Analytics Assistant — Provides expert guidance for Ibis, enabling developers to write portable analytics code that runs on various SQL backends.
  12. Data Warehouse Analyst — This tool helps data analysts plan, validate, and review read-only warehouse queries to ensure accurate, privacy-compliant, and reproducible business insights.
  13. Data Migration — The Data Migration skill analyzes source and target schemas, maps fields, and processes data in batches while validating outcomes to ensure accurate transfers. It transforms schemas for seamless integration between databases, providing reliable, comprehensive migration support. Database administrators and data engineers rely on it to move data efficiently and accurately.
  14. DynamoDB Skill Builder — This skill helps developers design and build efficient NoSQL databases using Amazon DynamoDB for scalable applications.
  15. JSON Processing Expert — This skill provides expert guidance on using jq to query, filter, and transform complex JSON data within shell pipelines for developers and engineers.
  16. API Integration Architect — Designs robust event-driven architectures, webhook systems, and data pipelines to help developers seamlessly connect and orchestrate complex service-to-service communication flows.
  17. Analytics Quality Framework — This skill helps data engineers and analysts establish robust testing, automated monitoring, and incident response protocols for analytics models and dashboards.
  18. NeMo Recipe Architect — This tool assists developers in creating, configuring, and validating NeMo AutoModel training and evaluation recipes through structured YAML and builder management.
  19. Cloud Storage Manager — This skill enables developers to efficiently manage, configure, and secure object storage within Google Cloud buckets for scalable data operations and infrastructure automation.
  20. NeMo Architecture Onboarding — This guide assists developers in integrating new model architectures into NeMo AutoModel through structured implementation, registration, and validation workflows.
  21. Performance Optimization Expert — This skill helps developers identify and resolve application bottlenecks through data-driven profiling to ensure optimal speed, responsiveness, and Core Web Vitals compliance.
  22. Fluentd Log Management — Configure Fluentd for collecting, filtering, and routing logs across distributed systems, assisting developers and DevOps engineers with log aggregation.
  23. Azure Table Integrator — This tool assists Java developers in building scalable table storage applications compatible with both Azure Table Storage and Cosmos DB Table API.
  24. Cloud Storage FUSE — This tool helps developers and engineers configure, tune, and deploy GCS FUSE mounts to optimize performance for workloads on GKE, Compute Engine, and Cloud Run.
  25. Cosmos DB Architect — This tool assists developers in building secure, production-ready Azure Cosmos DB NoSQL services using clean code and test-driven development principles.
  26. Bigtable Management Assistant — This skill assists developers and architects in provisioning Bigtable resources, designing performant schemas, and implementing efficient data access patterns using Java, Go, or Python.
  27. Performance Optimization Specialist — This tool identifies and resolves performance bottlenecks in code, databases, and APIs by providing measurable, data-driven improvements for developers seeking faster applications.
  28. Test Coverage Optimizer — This tool identifies untested code paths and generates targeted unit tests to help developers systematically increase their project's overall test coverage metrics.
  29. Temporary Postgres Provisioner — This tool enables developers to instantly provision temporary, account-free Postgres databases for rapid prototyping, testing, and ephemeral development environment needs.
  30. Azure Table Storage — This tool enables developers to manage NoSQL key-value data and perform entity operations within Azure Storage Tables or Cosmos DB Table API.
  31. Python Visualization Assistant — This skill provides expert guidance on creating publication-quality static, animated, and interactive data visualizations using the Matplotlib library for Python developers.
  32. Redis CLI Assistant — This tool provides comprehensive command-line interface guidance to help developers efficiently query, debug, and manage their Redis databases through interactive terminal commands.
  33. Database Migration Specialist — This skill assists developers in executing seamless database schema migrations, data transformations, and zero-downtime deployments across various popular ORM frameworks.
  34. TypeScript Idiomatic Guide — This skill provides developers with best practices and idiomatic patterns to write cleaner, more efficient, and maintainable TypeScript and JavaScript code.
  35. API Interface Architect — Assists developers in designing stable, well-documented, and robust interfaces for APIs, modules, and system boundaries to ensure long-term maintainability and usability.
  36. Parallel Batch Processor — This tool enables developers to execute high-performance, parallel file operations and bulk data transformations across large directories with integrated progress tracking and error handling.
  37. PDF Data Parser — This skill parses PDFs into structured data, extracting text, tables, and images for AI applications like RAG and document processing.
  38. Cosmos DB Manager — Manage Azure Cosmos DB resources, enabling developers to build globally distributed, multi-model database applications efficiently.
  39. SQL Query Optimizer — Analyzes and optimizes SQL queries for improved performance, assisting developers and database administrators in enhancing database efficiency.
  40. Cloud SQL Manager — This skill assists developers and database administrators in provisioning and configuring managed MySQL, PostgreSQL, and SQL Server instances within Google Cloud environments.
  41. Axiom Expert Guide — Provides expert guidance for developers using Axiom, the serverless log management and analytics platform, to ingest, query, and visualize data.
  42. MotherDuck SQL Assistant — Provides expert guidance for MotherDuck, helping developers perform SQL analytics on cloud data and build hybrid local-cloud data pipelines.
  43. Apache Arrow Guide — Provides expert assistance for Apache Arrow, enabling developers to utilize its high-performance columnar format for data interchange and processing.
  44. Data Version Control — DVC tracks large datasets and ML models, builds reproducible pipelines, and enables experiment tracking for data scientists and ML engineers.
  45. Orama Search Assistant — Provides expert guidance for developers using Orama, a fast full-text and vector search engine for various environments.
  46. Data Science Expert — This skill provides advanced analytics, machine learning, and statistical modeling support to help data professionals execute complex data workflows and generate actionable business insights.
  47. Supabase Management Assistant — Automate Supabase database operations, schema management, and project administration for developers using the Rube MCP toolkit to streamline backend workflows efficiently.
  48. Database Architecture Specialist — This expert architect assists developers in designing scalable data layers, selecting optimal technologies, and planning robust schema migrations for high-performance applications.
  49. Cloud Storage Specialist — This expert assistant helps developers implement secure, high-performance file upload systems using presigned URLs, multipart streaming, and robust server-side validation techniques.
  50. N8n Workflow Orchestrator — This router streamlines n8n MCP workflow development, testing, and debugging by directing tasks to specialized guidance for developers and automation engineers.
  51. Regex Debugging Assistant — This tool helps developers troubleshoot, explain, and optimize regular expressions through visual breakdowns, plain English interpretations, and automated test case validation.
  52. Web Scraping Assistant — This tool enables developers and data analysts to perform efficient web scraping and structured data extraction using the HasData cloud platform API.
  53. Schema Versioning Manager — Automates database schema versioning with migrations, rollbacks, and CI/CD integration, benefiting developers and database administrators.
  54. Web Data CLI — This tool provides developers with command-line access to real-time web scraping, search, and structured data extraction for automated data collection workflows.
  55. Drizzle ORM Expert — Assists developers using Drizzle ORM to write type-safe SQL queries and manage database migrations efficiently.
  56. PGlite Expert — Assists developers in embedding a lightweight WASM Postgres instance into client-side apps and serverless functions for local-first data solutions.
  57. Document Retrieval Assistant — This tool enables developers to efficiently ingest, index, and query diverse document collections using the NeMo Retriever CLI for streamlined information retrieval tasks.
  58. Postgres Performance Optimizer — This skill provides expert Supabase-curated guidelines to help developers write efficient SQL queries, design robust schemas, and optimize overall Postgres database performance.
  59. Spreadsheet Data Merger — This tool enables users to consolidate multiple CSV or Excel files through intelligent column matching, automated data deduplication, and robust conflict resolution strategies.
  60. Neon Database Assistant — This skill assists developers in managing, configuring, and optimizing serverless Postgres databases using Neon's specialized features, branching capabilities, and official documentation resources.
  61. Postgres Optimization Expert — This skill provides developers with expert Supabase-backed guidelines for optimizing Postgres query performance, schema design, security configurations, and database connection management.
  62. Pull Request Auditor — This tool assists developers by performing comprehensive security, performance, and quality audits on pull request diffs to ensure robust code standards.
  63. MongoDB Database Assistant — Helps developers design schemas, build pipelines, manage indexes, and operate MongoDB clusters for flexible data storage and retrieval.
  64. Convex Backend Assistant — Helps developers build real-time reactive backends using Convex, simplifying database creation and client synchronization for modern web applications.
  65. Database Architecture Advisor — This skill guides developers through optimal database selection, schema design, and performance tuning to build scalable and efficient data-driven applications.