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teradata-labs AI Skills

GitHub ↗

浏览 teradata-labs 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

63

收录技能的仓库 Stars 合计

378

仓库 Forks

0

平均每个技能的仓库 Stars

6

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

63 个技能

全部技能

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

manage-queues

teradata-labs

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

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

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。