time_anomaly_marker
OfficialEfficiently detect and mark anomalies in time series data.
Data & Analytics#time series#financial analysis#data cleaning#anomaly detection#statistical analysis
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the detection of anomalies in time series/numeric data, reducing manual inspection and increasing data quality.
Core Features & Use Cases
- Z-Score & Diff Mutation Detection: Identifies data points that deviate significantly from the norm.
- No Data Loss: Outputs flagging data instead of deleting, enabling review.
- Use Case: Utilize this Skill to find and flag data anomalies in financial datasets to identify potential risks.
Quick Start
Annotate anomalies in the dataset 'financial_data.csv' with the time_anomaly_marker skill and output to 'cleaned_financial_data.csv'.
Dependency Matrix
Required Modules
pandas
Components
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: time_anomaly_marker Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#time-anomaly-marker Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 620,000+ vetted skills library on demand.