Total 30,670 skills, Data Processing has 1471 skills
Showing 12 of 1471 skills
Detect anomalies in data using statistical and ML methods. Z-score, IQR, Isolation Forest, and time-series anomalies.
Specialized in database migrations and data seeding. Trigger this when creating tables, modifying schemas, or preparing initial data.
Advanced SQL patterns including window functions, CTEs, recursive queries, and optimization techniques.
Guide for querying and filtering CSV files using DuckDB SQL
Research prediction markets - base rates, resolution rules, historical data
Performance attribution, trade analytics, and strategy optimization
dbt Expert Engineer Skill - Comprehensive guide for dbt development best practices, command execution, and environment configuration Use when: - Running dbt commands (debug, compile, run, test, show) - Setting up Issue-specific targets in profiles.yml - Working with Databricks SQL dialect in dbt
Process multiple files in parallel with aggregation and progress tracking. Use for batch file operations, directory scanning, ZIP handling, and parallel data processing with 2-3x performance improvement.
This skill should be used when the user asks to "import", "export", "data migration", "XML", "Excel", "CSV", "bulk load", "data transfer", or any ServiceNow Import/Export development.
Use when creating or reviewing TradingView Pine Script v6 indicators/strategies/libraries, applying non-repainting best practices, generating Pine Script from other languages, or running Pine Script linting.
Validate and audit CSV data for quality, consistency, and completeness. Use when you need to check CSV files for data issues, missing values, or format inconsistencies.
Compare two CSV files and generate a unified diff file showing line-by-line differences.