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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-diff

teradata-labs

Time series differencing for stationarity and trend removal

GitHub

td-filter

teradata-labs

Digital filtering for noise reduction and signal enhancement

GitHub

monitor-sessions

teradata-labs

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

GitHub

analyze-performance

teradata-labs

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

GitHub

td-portman

teradata-labs

Ljung-Box portmanteau tests for model diagnostics and residual analysis

GitHub

monitor-resources

teradata-labs

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

GitHub

tune-workloads

teradata-labs

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

GitHub

td-dfft

teradata-labs

Fourier transformation for frequency domain analysis

GitHub

td-powerspec

teradata-labs

Power spectrum analysis for frequency domain insights and periodicity detection

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.