Total 54,374 skills, Data Processing has 2785 skills
Showing 12 of 2785 skills
Enables Claude to create, manage, and query databases in Airtable via Playwright MCP
Skill for detecting institutional order flow patterns (absorption, exhaustion, imbalance, sweep) from L2 market depth and trade data.
Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success
Fetch economic data from FRED, World Bank, and other APIs
Design ETL/ELT pipelines with proper orchestration, error handling, and monitoring. Use when building data pipelines, designing data workflows, or implementing data transformations.
Convert addresses to coordinates (geocoding) and coordinates to addresses (reverse geocoding). Use for location data enrichment or address validation.
Instructions for fetching current weather temperature data for Karachi, Pakistan from wttr.in API
Perform forensic-level analysis of a single company's financial statements, evaluating earnings quality, financial health, fraud risk, and operational efficiency. Use when the user asks for a deep dive into a company's financials, DuPont analysis, earnings quality check, balance sheet analysis, cash flow analysis, Altman Z-score, Beneish M-score, working capital analysis, or any detailed single-company financial examination.
SQL query optimization and performance tuning
Track and analyze cross-border capital flows between mainland China and Hong Kong via Stock Connect (Shanghai-Hong Kong Stock Connect/Shenzhen-Hong Kong Stock Connect). Monitor northbound (foreign capital flowing into A-shares) and southbound (mainland capital flowing into Hong Kong-listed stocks) flows, identify trending stocks, and analyze institutional positioning. Use when users ask about northbound capital, southbound capital, foreign capital movements, Stock Connect flows, or cross-border investment trends.
Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities. Use when working with multi-step user journey data, conversion analysis, or when user mentions funnels, conversion rates, or user flow analysis.
R 4.4+ development specialist covering tidyverse, ggplot2, Shiny, and data science patterns. Use when developing data analysis pipelines, visualizations, or Shiny applications.