Total 55,050 skills, Data Processing has 2818 skills
Showing 12 of 2818 skills
Extract text and data from PDF documents
Databricks documentation reference. Use as a lookup resource alongside other skills and MCP tools for comprehensive guidance.
在Node.js中读取、操作和写入Excel电子表格（XLSX）。完全支持样式、公式、图表和大文件流式处理。
Analyze EVM wallet asset distribution and identify high-risk protocol exposure.
Comprehensive Azure Data Factory validation rules, activity nesting limitations, linked service requirements, and edge-case handling guidance
Subscribe to AI and tech RSS feeds and persist normalized metadata into SQLite using mature Python tooling (feedparser + sqlite3). Use when adding feed URLs/OPML sources, running incremental sync with deduplication, and storing entry metadata without full-text extraction or summarization.
Pandas data manipulation with DataFrames. Use for data analysis.
Use this skill for AIRR-seq (Adaptive Immune Receptor Repertoire / VDJ-seq) data analysis with immunarch + immundata in R, including ingestion, receptor schema design, immutable transformations, clonality/diversity/public overlap metrics, and Seurat/AnnData integration.
Google BigQuery for analytics, ML, and data warehousing. Use for large-scale analytics.
Real-time analytics with Redis counters, periodic PostgreSQL flush, and time-series aggregation. High-performance event tracking without database bottlenecks.
Centralized transformation logic for consistent data shaping across API routes. Includes aggregators, rankers, trend calculators, and data sanitizers.
Grid-based geographic clustering with O(n) performance, medoid finding for map markers, and multi-factor risk scoring from event density, sentiment, and recency.