MCPInstall

data-skills

88 skills from reason-machines/data-skills

Install every skill in this repository:

npx skills add https://github.com/reason-machines/data-skills
  1. 1

    Expert knowledge of Apache Airflow for building, scheduling, and monitoring data pipelines and workflows

  2. 2

    Free 9-week data engineering course covering Docker, Terraform, Kestra, BigQuery, dbt, Spark, and Kafka with hands-on projects

  3. 3

    Multi-platform hot search crawler and LLM-powered public opinion analysis system with clustering, sentiment analysis, and multi-channel push notifications

  4. 4

    Analytics and inventory management toolkit for Roblox Murder Mystery 2 gameplay optimization

  5. 5

    Analyze Murder Mystery 2 gameplay data, track inventory, and optimize strategy using this Roblox analytics toolkit

  6. 6

    Murder Mystery 2 gameplay analytics, inventory tracking, and strategy optimization toolkit for Roblox

  7. 7

    Murder Mystery 2 inventory tracking, analytics dashboard, and gameplay optimization toolkit for Roblox

  8. 8

    Analytics dashboard and inventory management toolkit for Roblox Murder Mystery 2 game data tracking and optimization

  9. 9

    Roblox Murder Mystery 2 analytics dashboard and inventory tracking toolkit with data visualization and strategy analysis

  10. 10

    Analytics and inventory tracking toolkit for Roblox Murder Mystery 2 with strategic gameplay insights

  11. 11

    Multi-platform public opinion analysis assistant with web scraping, LLM-powered analytics, topic clustering, sentiment analysis, and multi-channel alerts

  12. 12

    Deploy and use an LLM-powered public opinion analytics assistant that crawls 26 hot lists from 15 platforms, performs sentiment analysis, topic clustering, and multi-channel alerting

  13. 13

    SQL and Python-based employee performance analytics with KPI aggregation, departmental insights, and HR dashboard generation

  14. 14

    Build AI agents for real-time financial options analysis with LangGraph, ChromaDB RAG, and Polygon.io data

  15. 15

    End-to-end data engineering pipeline using MinIO, Airbyte, PostgreSQL, DBT, and Airflow with medallion architecture (Bronze/Silver/Gold layers)

  16. 16

    Claude Code skills for analytics and data engineers working with dbt, Snowflake, and data pipelines

  17. 17

    AI-powered GA4 + GTM event tracking automation — analyzes sites, designs event schemas, syncs GTM containers, runs preview verification, and publishes tracking implementations.

  18. 18

    Comprehensive study guide covering data engineering concepts, tools, and best practices for learning and reference

  19. 19

    End-to-end ELT pipeline using SSIS, SQL Server, and PySpark for enterprise data warehousing and analytics

  20. 20

    Reference portfolio demonstrating Azure data engineering patterns, Medallion architecture, and end-to-end analytics solutions

  21. 21

    Build end-to-end data engineering pipelines with the Harvard Art Museums API, ETL processes, SQL analytics, and Streamlit visualization

  22. 22

    Build end-to-end real-time data pipelines with Kafka, PostgreSQL, Airflow, and Streamlit using Medallion Architecture for streaming analytics.

  23. 23

    Build ETL pipelines and analytics dashboards for Harvard Art Museums API data with Python, SQL, and Streamlit

  24. 24

    Build ETL pipelines and analytics dashboards using Harvard Art Museums API with Python, SQL, and Streamlit

  25. 25

    Build end-to-end data engineering pipelines with Harvard Art Museums API, ETL workflows, SQL analytics, and Streamlit visualization.

  26. 26

    Build ETL pipelines and analytics dashboards using Harvard Art Museums API with SQL storage and Streamlit visualization

  27. 27

    Build end-to-end ETL pipelines and analytics dashboards using the Harvard Art Museums API with Python, SQL, and Streamlit

  28. 28

    Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with Streamlit, MySQL, and Python

  29. 29

    Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with SQL storage and Streamlit visualization

  30. 30

    End-to-end data engineering pipeline for Harvard Art Museums API with ETL, SQL analytics, and Streamlit visualization

  31. 31

    Build ETL pipelines and analytics dashboards for Harvard Art Museums API data using Python, SQL, and Streamlit

  32. 32

    End-to-end data engineering and analytics application using Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization

  33. 33

    Build ETL pipelines and analytics dashboards using Harvard Art Museums API data with Python, SQL, and Streamlit

  34. 34

    End-to-end data engineering and analytics application for Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization

  35. 35

    End-to-end data engineering and analytics application for Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization

  36. 36

    Infrastructure-as-Code patterns for data engineering using Terraform to provision AWS resources (S3, EC2, IAM)

  37. 37

    Infrastructure-as-Code patterns for data engineering with Terraform on AWS (S3, EC2, IAM)

  38. 38

    Infrastructure-as-Code with Terraform for data engineering on AWS (S3, EC2, IAM)

  39. 39

    Build end-to-end data engineering pipelines using Harvard Art Museums API with ETL, SQL analytics, and Streamlit visualization

  40. 40

    Infrastructure-as-Code fundamentals for data engineering using Terraform to provision AWS resources (S3, EC2, IAM)

  41. 41

    Infrastructure-as-Code fundamentals for data engineers using Terraform to provision AWS resources (S3, EC2, IAM)

  42. 42

    End-to-end retail ETL pipeline using Medallion Architecture (Bronze/Silver/Gold) with TSQL, PySpark, and Airflow for inventory, sales, and supplier data processing

  43. 43

    End-to-end retail ETL pipeline using PySpark, SQL Server, and Medallion Architecture (Bronze/Silver/Gold layers) for data warehousing

  44. 44

    Build ETL pipelines and analytics dashboards using Harvard Art Museums API with Python, SQL, and Streamlit

  45. 45

    Build end-to-end data engineering pipelines with Harvard Art Museums API, ETL, SQL analytics, and Streamlit dashboards

  46. 46

    Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with Streamlit, SQL, and Plotly

  47. 47

    Inside Airbnb data warehouse built with Snowflake and dbt, demonstrating modern analytics engineering patterns with staging, intermediate, and mart layers.

  48. 48

    600+ patterns and concepts for Azure Databricks, Microsoft Fabric, and PySpark data engineering - covering lakehouse architecture, Delta Lake, pipelines, and production best practices.

  49. 49

    Real-time computer vision fitness game platform using YOLO, MediaPipe, Spring Boot orchestration, and React dashboard for webcam-based exercise tracking

  50. 50

    Deploy data infrastructure changes using CI/CD patterns with GitHub Actions, Terraform, and AWS OIDC authentication