Total 50,510 skills, Data Processing has 2560 skills
Showing 12 of 2560 skills
Template pack for summarizing BI insights for ELT/board stakeholders.
Use when "GeoPandas", "geospatial", "GIS", "shapefile", "GeoJSON", or asking about "spatial analysis", "coordinate transformation", "spatial join", "choropleth map", "buffer analysis", "geographic data", "map visualization"
Apply production-ready Databricks SDK patterns for Python and REST API. Use when implementing Databricks integrations, refactoring SDK usage, or establishing team coding standards for Databricks. Trigger with phrases like "databricks SDK patterns", "databricks best practices", "databricks code patterns", "idiomatic databricks".
Use when asked to create publication-ready scientific figures, charts for research papers, or academic visualizations.
Best practices for Matplotlib data visualization, plotting, and creating publication-quality figures in Python
Expert data engineering covering data pipelines, ETL/ELT, data warehousing, streaming, and data quality.
Comprehensive epigenomics and gene regulation analysis integrating ENCODE functional genomics data, JASPAR transcription factor binding motifs, SCREEN cis-regulatory elements, ReMap TF binding sites, RegulomeDB variant regulatory scoring, 4D Nucleome chromatin conformation, and Ensembl regulatory features. Performs regulatory element cataloging, transcription factor analysis, variant regulatory impact scoring, chromatin conformation mapping, and gene-centric regulatory landscape profiling. Use when asked about gene regulation, enhancers, promoters, transcription factor binding, epigenetic modifications, chromatin structure, regulatory variants, or non-coding genome function.
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)
Mooring system design, analysis, and assessment for floating offshore platforms
Search and analyze Xiaohongshu (RED / Little Red Book) content including notes, products, and creator profiles. Use when the user asks about Xiaohongshu trends, wants to find products or reviews on RED, or needs creator/influencer data. Triggers: 小红书, xiaohongshu, RED, Little Red Book, xhs.
JSON flat view, schema inference, and edit tool. Use when the user provides a JSON file or data and wants to explore its structure, infer its schema, or modify fields. Triggers on: view json, edit json, json schema, json structure, set json field, jstool, analyze json, flat view, orderbook, json flat.
Google Analytics 4, Search Console, and Indexing API toolkit. Analyze website traffic, page performance, user demographics, real-time visitors, search queries, and SEO metrics. Use when the user asks to: check site traffic, analyze page views, see traffic sources, view user demographics, get real-time visitor data, check search console queries, analyze SEO performance, request URL re-indexing, inspect index status, compare date ranges, check bounce rates, view conversion data, or get e-commerce revenue. Requires a Google Cloud service account with GA4 and Search Console access.