td-change-point
OfficialDetect structural breaks in time series.
Data & Analytics#anomaly detection#time series analysis#UAF#Teradata#change point detection#structural breaks
Authorteradata-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill identifies critical points in time series data where underlying patterns or structures change, enabling proactive analysis and intervention.
Core Features & Use Cases
- Structural Break Detection: Pinpoints significant shifts in time series behavior.
- Change Point Analysis: Identifies moments of regime change or structural breaks.
- Use Case: Analyze sensor data from industrial equipment to detect when a machine's performance characteristics change, indicating potential maintenance needs or operational shifts.
Quick Start
Detect change points in the time series data from the table 'my_database.sensor_readings' using the timestamp column 'event_time' and value column 'temperature'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: td-change-point Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-change-point Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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