QC13_TimeEquivalentValue
OfficialEffortlessly analyze and identify time-series anomalies with precise parameters.
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill efficiently detects anomalies in time-series data by identifying when key metrics have been consistently unchanged for extended periods.
Core Features & Use Cases
- Time-Series Anomaly Detection: Monitors and flags data points where a value has remained the same over a defined threshold.
- Customizable Checks: Allows users to define specific conditions (field, count) and time formats to analyze.
- Use Case: Perfect for quality control in manufacturing, environmental monitoring, or any situation requiring the detection of long-term stability in metrics.
Quick Start
Utilize the QC13_TimeEquivalentValue Skill to check the 'sensor_data.csv' file for stability across the 'temperature' field with the criteria 'temperature,3' and the time format 'YYYY-MM-DD'.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 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: QC13_TimeEquivalentValue Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#qc13-timeequivalentvalue Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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