Domains
Forms
Mechanism
Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
Use Cases
Data analysts need to query and analyze large-scale time-series log data from Azure Data Explorer. The skill provides KQL query reference from basic filtering to advanced aggregation and analytics functions, covering time series functions (series_*), pivoting, and running totals. Helps users extract valuable business insights from raw logs.
IoT engineers need real-time anomaly detection on device telemetry. The skill leverages ADX built-in anomaly detection algorithms (series_decompose_anomalies, series_outliers) for pattern decomposition and anomaly identification on time-series sensor data. Supports multi-dimensional anomaly analysis with per-device-type and per-metric detection parameters.
Skill Relationships
Dependency relationships read as "the upper tier points to the lower tier." The current Skill sits in the middle tier — above are Skills that depend on it, below are Skills it depends on.
Tier 1 · These Skills Use Me
Tier 2 · Current Skill
Tier 3 · I Use These Skills
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Skill File
