claude-skills

Control active sessions by terminating problematic sessions, managing runaway queries, and handling blocking situations

Manage delayed request queues including workload, system, and utility queues to release blocked requests or abort unnecessary items

**Autonomously create** filters, throttles, and classification rules to implement new workloads or manage workload lifecycle in response to changing operational needs

Track query execution using real-time resources, analyze query bands, access query logs, and identify performance patterns across the Teradata system

Monitor AMP processor load, system physical resources, and capacity using real-time resources to track system health and identify performance bottlenecks

Monitor active Teradata sessions using real-time resources, view SQL execution details, identify blocking issues, and optionally take control actions

Monitor workload definitions, distribution, and TASM statistics using real-time resources to understand classification effectiveness and workload performance

Analyze system performance using throttle statistics, query logs, and resource metrics to identify bottlenecks and optimization opportunities

Analyze throttle behavior, recommend optimal configurations, and autonomously create/modify throttles to balance resource allocation and meet performance SLAs

Analyze workload classification and **autonomously configure** classification rules, filters, and priorities to improve accuracy and meet business requirements

Comprehensive data profiling and quality assessment using Teradata ClearScape Analytics descriptive statistics functions

Auto-correlation analysis for time series dependency and pattern detection

ARIMA-based time series forecasting for trend and seasonal predictions

ARIMA modeling for time series forecasting

ARIMA parameter estimation for seasonal and non-seasonal AR, MA, ARMA, and ARIMA models

Marketing attribution modeling and analysis

Change point detection in time series for structural breaks

Classification model evaluation and metrics calculation

Advanced column transformation and feature engineering

Convolution operations for signal processing and filtering

Signal correlation analysis for similarity and delay detection

Time series specific cross-validation techniques for model validation

UAF-specific data preparation and validation for time series analysis

Decision forest ensemble classifier for robust predictions

Decision tree classifier for categorical prediction and rule extraction

Signal detrending for baseline correction and trend removal

Fourier transformation for frequency domain analysis

Time series differencing for stationarity and trend removal

Fast Fourier Transform for frequency domain analysis and spectral decomposition

Digital filtering for noise reduction and signal enhancement

Comprehensive Generalized Linear Model analytics for regression and classification

Hierarchical clustering for nested data grouping

Inverse Fast Fourier Transform for time domain reconstruction

K-means clustering for customer segmentation and data grouping

Linear regression analysis for continuous target prediction

Logistic regression for binary and multinomial classification

Automated model selection and comparison for optimal forecasting

Moving average based forecasting for smoothed predictions

Naive Bayes classifier for probabilistic classification

N-gram generation for text preprocessing