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teradata-labs AI Skills

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Browse published AI skills maintained by teradata-labs. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

63

Repository stars across indexed skills

378

Repository forks

0

Average repository stars per indexed skill

6

Repository stars may repeat across skills from the same repository.

63 skills

Browse skills

GitHub

td-plot

teradata-labs

Time series visualization and diagnostic plotting utilities

GitHub

monitor-queries

teradata-labs

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

GitHub

td-window

teradata-labs

Signal windowing for spectral analysis and leakage reduction

GitHub

manage-queues

teradata-labs

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

GitHub

td-tfidf

teradata-labs

Term Frequency-Inverse Document Frequency for text analysis

GitHub

optimize-throttles

teradata-labs

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

GitHub

td-fft

teradata-labs

Fast Fourier Transform for frequency domain analysis and spectral decomposition

GitHub

manage-workloads

teradata-labs

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

GitHub

td-pacf

teradata-labs

Partial auto-correlation analysis for direct lag relationships

GitHub

td-kmeans

teradata-labs

K-means clustering for customer segmentation and data grouping

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.