Total 30,671 skills, Data Processing has 1471 skills
Showing 12 of 1471 skills
Master data engineering, ETL/ELT, data warehousing, SQL optimization, and analytics. Use when building data pipelines, designing data systems, or working with large datasets.
Delta Lake integration with cloud storage (S3, GCS, Azure). Covers storage_options, PyArrow filesystem, time travel, and partitioned writes.
Forecast Generator - Auto-activating skill for Data Analytics. Triggers on: forecast generator, forecast generator Part of the Data Analytics skill category.
Database specialist covering PostgreSQL, MongoDB, Redis, and advanced data patterns for modern applications
Integrate Databuddy analytics into applications using the SDK or REST API. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, or querying analytics data programmatically.
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. Originally from OpenAI's curated skills catalog.
Production ETL patterns orchestrator. Routes to core reliability patterns and incremental load strategies.
Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.
Analyze data structures, define metrics, KPIs, and reporting requirements for business dashboards and analytics systems. Use when McKinzie needs to understand what data to track, how to measure performance, or what should be displayed on dashboards across her content sites, Etsy shops, and business portfolio.
Elasticsearch 集群管理
Use when implementing skill data generation from HTML sources for game build planners - guides the parser-factory-generation pattern for extracting level-scaling values for active and passive skills (project)
Generate custom reports, query reports, and script reports for Frappe applications. Use when creating data analysis and reporting features.