Total 30,378 skills, Data Processing has 1458 skills
Showing 12 of 1458 skills
Read data from two tabs in a Google Sheet to compare and identify differences.
Export a Google Sheets spreadsheet as a CSV file for local backup or processing.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.
Comprehensive crypto derivatives data - funding rates, open interest, liquidations, long/short ratios, Hyperliquid whale tracking, volume analysis, ETF flows, futures market data
CoinGecko crypto price data, charts, market discovery, and global stats
Stocks and forex price data, time series, quotes, and reference data
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
Extract text from images and scanned PDFs using OCR. Supports 100+ languages, table detection, structured output (markdown/JSON), and batch processing.
Tushare is a financial data interface package with rich data content, such as market data of stocks, funds, futures, digital currencies, etc., and fundamental data including corporate finance, fund managers, etc. This module unifies the external service mode of data assets through standardized APIs, helping technical users in need to access relevant data in a more real-time, concise and lightweight way.
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection guidance. For implementing specific models programmatically use statsmodels.