create-pr
Create Pull Requests following best conventions. Use when opening PRs, writing PR descriptions, or preparing changes for review.
conventional-commit
Create conventional commit messages following best conventions. Use when committing code changes, writing commit messages, or formatting git history. Follows conventional commits specification.
filament-pro
Build Laravel admin panels with Filament v5. Use for creating resources, forms, tables, widgets, and testing admin interfaces with Livewire v4.
phpstan-fixer
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td-portman
Ljung-Box portmanteau tests for model diagnostics and residual analysis
td-powerspec
Power spectrum analysis for frequency domain insights and periodicity detection
td-random-forest
Random forest ensemble classifier for high-accuracy classification
td-regression-evaluator
Comprehensive regression model evaluation using TD_RegressionEvaluator
td-resample
Signal resampling and interpolation for rate conversion
td-scale-fit
Data scaling and normalization using TD_ScaleFit and TD_ScaleTransform
td-seasonal-decompose
Seasonal pattern decomposition and analysis
td-sessionize
Session analysis and user journey tracking
td-simple-impute
Missing value imputation using TD_SimpleImputeFit
td-smoothing
Signal smoothing and noise reduction techniques
td-pacf
Partial auto-correlation analysis for direct lag relationships
td-outlier-detection
Outlier detection and handling using TD_OutlierFit
td-onehot-encoding
Categorical variable encoding using TD_OneHotEncodingFit and Transform
td-npath
Path analysis for sequential event patterns
td-ngram-splitter
N-gram generation for text preprocessing
td-parameter-estimation
Advanced parameter estimation and optimization for UAF models
td-plot
Time series visualization and diagnostic plotting utilities
td-stationarity-test
Statistical tests for time series stationarity (ADF, KPSS, PP tests)
monitor-resources
Monitor AMP processor load, system physical resources, and capacity using real-time resources to track system health and identify performance bottlenecks
monitor-sessions
Monitor active Teradata sessions using real-time resources, view SQL execution details, identify blocking issues, and optionally take control actions
monitor-workloads
Monitor workload definitions, distribution, and TASM statistics using real-time resources to understand classification effectiveness and workload performance
analyze-performance
Analyze system performance using throttle statistics, query logs, and resource metrics to identify bottlenecks and optimization opportunities
tune-workloads
Analyze workload classification and **autonomously configure** classification rules, filters, and priorities to improve accuracy and meet business requirements
optimize-throttles
Analyze throttle behavior, recommend optimal configurations, and autonomously create/modify throttles to balance resource allocation and meet performance SLAs
td-spectral-density
Power spectral density estimation for frequency content analysis
td-svm
Support Vector Machine for linear and non-linear classification
td-tfidf
Term Frequency-Inverse Document Frequency for text analysis
td-train-test-split
Data splitting for model validation using TD_TrainTestSplit
td-vector-distance
Vector distance calculations for similarity analysis
td-window
Signal windowing for spectral analysis and leakage reduction
control-sessions
Control active sessions by terminating problematic sessions, managing runaway queries, and handling blocking situations
manage-queues
Manage delayed request queues including workload, system, and utility queues to release blocked requests or abort unnecessary items
manage-workloads
**Autonomously create** filters, throttles, and classification rules to implement new workloads or manage workload lifecycle in response to changing operational needs
monitor-queries
Track query execution using real-time resources, analyze query bands, access query logs, and identify performance patterns across the Teradata system
td-filter
Digital filtering for noise reduction and signal enhancement
td-naive-bayes
Naive Bayes classifier for probabilistic classification
td-movavg-forecast
Moving average based forecasting for smoothed predictions
td-model-selection
Automated model selection and comparison for optimal forecasting
td-logistic-regression
Logistic regression for binary and multinomial classification
td-linear-regression
Linear regression analysis for continuous target prediction
td-kmeans
K-means clustering for customer segmentation and data grouping
td-ifft
Inverse Fast Fourier Transform for time domain reconstruction
td-hierarchical-clustering
Hierarchical clustering for nested data grouping
td-glm
Comprehensive Generalized Linear Model analytics for regression and classification
td-fft
Fast Fourier Transform for frequency domain analysis and spectral decomposition
td-diff
Time series differencing for stationarity and trend removal
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