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detect_flow_anomaly

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Detect macro-level mobility flow anomalies in spatiotemporal data.

Data & Analytics#anomaly detection#geohash#spatiotemporal analysis#mobility flow#flow analytics
Authorbettercallfan
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill identifies anomalies in mobility flow data, such as abnormal regional heat, check-in spikes, OD flow spikes, sudden decreases, or unusual activity patterns in specific time windows.

Core Features & Use Cases

  • Detect Anomalies: Identifies anomalies like abnormal regional heat or OD flow spikes in mobility data.
  • Data Formats: Processes data in JSONL format containing region heat or OD flow data.
  • Use Case: For instance, after analyzing network traffic or travel patterns, use this skill to identify unusual traffic spikes or check-in patterns during off-peak hours.

Quick Start

To detect anomalies in mobility flow data, use the detect_flow_anomaly skill with the command:

detect_flow_anomaly --input path/to/region_heat.jsonl --output-dir path/to/output

Dependency Matrix

Required Modules

None required

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: detect_flow_anomaly
Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#detect-flow-anomaly

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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