Total 55,027 skills, Data Processing has 2818 skills
Showing 12 of 2818 skills
Create and manipulate Microsoft Excel workbooks programmatically. Build spreadsheets with formulas, charts, conditional formatting, and pivot tables. Handle large datasets efficiently with streaming mode.
Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.
Use when exporting data for ad platforms (Google Ads, Meta) or working with project datasets. Documents exact CSV formats for Enhanced Conversions, Customer Match, and project data schemas.
data-collection for evidence-based learning research and evaluation.
Query macOS iMessage database (chat.db) via SQLite. Decode NSAttributedString messages, handle tapbacks, search conversations. TRIGGERS - imessage, chat.db, messages database, text messages, iMessage history, NSAttributedString, attributedBody
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.