Analytics Engineering Bundle | Prompeteer.ai

Semantic-layer design, exposure tracking, metric definitions, change-management, and BI-handoff skills.

Included Skills (38)

  1. Data Build Tool — This skill helps data engineers transform data in their warehouse using SQL SELECT statements with dbt.
  2. 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.
  3. Cube Analytics Assistant — Provides expert guidance for Cube, helping developers define data models, create metrics APIs, and build consistent analytics features.
  4. Product Analytics — Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.
  5. Metabase Analytics Tool — Metabase helps users create dashboards and visualizations from data, enabling data-driven decision-making within organizations, even without SQL knowledge.
  6. Polars Data Processor — This skill provides high-performance DataFrame manipulation and lazy query optimization to help data engineers and analysts build efficient, scalable Python data pipelines.
  7. 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.
  8. Snowflake Development Assistant — Assists data engineers and analysts in developing Snowflake SQL, data pipelines, and Snowpark Python applications efficiently and effectively.
  9. Big Data Analyst — This skill empowers data professionals to perform high-speed analysis, visualization, and machine learning on massive tabular datasets that exceed available system memory.
  10. Vector Pipeline Assistant — Provides expert guidance for Vector, a high-performance observability data pipeline, helping developers manage logs, metrics, and traces efficiently.
  11. SQL Query Generator — This tool transforms natural language requirements into optimized SQL queries, helping analysts and engineers efficiently retrieve data across various database platforms.
  12. DLT Pipeline Builder — Assists developers in building data pipelines using the open-source dlt Python library for data loading and ingestion.
  13. Data Quality Validator — This skill validates data quality using Great Expectations, helping data scientists and engineers ensure data reliability.
  14. CSV Data Processor — This skill parses and generates CSV files, assisting developers with data import/export, ETL pipelines, and report generation tasks.
  15. Analytics Quality Framework — This skill helps data engineers and analysts establish robust testing, automated monitoring, and incident response protocols for analytics models and dashboards.
  16. GPU Dataframe Expert — Provides expert guidance for developers accelerating pandas workflows using NVIDIA cuDF and dask-cuDF to achieve high-performance GPU-based data processing and ETL.
  17. Kibana Dashboard Builder — Configure Kibana for Elasticsearch data visualization, enabling users to build dashboards and explore logs effectively.
  18. Elasticsearch Search Skill — This skill configures and uses Elasticsearch for full-text search, custom analyzers, and index management, assisting users with search workloads.
  19. Web Data Extractor — This skill extracts structured data from web pages, handling static HTML and JavaScript-rendered content, to help users automate data collection.
  20. BigQuery Resource Manager — This tool enables data engineers and analysts to efficiently manage BigQuery datasets, tables, and SQL queries within a serverless cloud environment.
  21. Statistical Visualization Assistant — This skill enables data scientists to generate publication-quality statistical graphics and complex multi-panel figures by leveraging Seaborn's seamless integration with pandas data structures.
  22. Document Data Extractor — Extracts structured data from various document formats, converting them into JSON or CSV for data analysis and processing.
  23. Evidence Dashboard Assistant — Provides expert guidance for Evidence, helping developers build data reports as code and create self-service analytics dashboards from SQL and Markdown.
  24. clickhouse — The skill executes real‑time analytical queries on massive datasets via a familiar SQL interface, providing advanced aggregation functions and high‑throughput inserts. It supports materialized views for pre‑computed rollups, enabling efficient event tracking, time‑series analytics, and ad‑hoc exploration of billions of rows. Data analysts, engineers, and product teams benefit from fast, scalable analytics on large volumes of data.
  25. Data Quality Auditor — This tool profiles datasets to detect anomalies and structural issues, helping data engineers ensure high-quality, reliable data for downstream analysis and modeling.
  26. Data Quality Validator — This skill validates data quality in various formats, helping data engineers and analysts ensure reliable data pipelines and analytics.
  27. 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.
  28. Kafka Event Streaming — Facilitates building event-driven systems using Apache Kafka for users needing message streaming and real-time data processing.
  29. Real-Time Analytics — This skill helps users build real-time analytics APIs using Tinybird for event data ingestion and SQL querying.
  30. 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.
  31. Executive Dashboard Architect — This skill provides a structured framework and layout templates to help marketing leaders create clear, actionable, and board-ready performance dashboards.
  32. BigQuery ML Assistant — Empowers data analysts to perform advanced forecasting, anomaly detection, and generative AI tasks directly within BigQuery using specialized SQL functions.
  33. Loyalty Analytics Engine — This tool empowers marketing and operations teams to analyze member behavior, segment audiences, and evaluate experiment performance through data-driven insights.
  34. Attribution Governance Framework — This skill provides a comprehensive guide for marketing teams to standardize campaign tagging, attribution modeling, and quality assurance processes for accurate performance measurement.
  35. Cohort Performance Analyzer — This tool enables business analysts to evaluate performance trends and diagnose conversion patterns across various customer segments, booking vintages, and acquisition channels.
  36. Pipeline Health Analyzer — This tool evaluates sales opportunity quality and win probability to help sales managers prioritize pipeline reviews and improve data hygiene.
  37. Data Contract Manager — This framework helps data engineers and analysts establish, enforce, and audit reliable BI data contracts to ensure high-quality reporting and accountability.
  38. Analytics Instrumentation Architect — This skill helps product and data teams design, govern, and maintain standardized event tracking plans for robust analytics pipelines.