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pattern-detection

Detect patterns, anomalies, and trends in code and data.

8|Updated Mar 9, 2026
Search Tags:#patterns#regex#code-analysis#security-review#anomalies#data-monitoring#ast-analysis
One-click install
npx skills add https://github.com/JEO-tech-ai/oh-my-unity3d --skill pattern-detection-jeo-tech-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pattern-detection
Source: https://github.com/JEO-tech-ai/oh-my-unity3d/tree/main/.unity-skills/pattern-detection
Command: npx skills add https://github.com/JEO-tech-ai/oh-my-unity3d --skill pattern-detection-jeo-tech-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detect patterns, anomalies, and recurring patterns in code and data to improve quality, security, and maintainability.

Core Features & Use Cases

  • Pattern discovery: Identify recurring code structures, anti-patterns, and potential hotspots across repositories.
  • Anomaly detection: Surface unusual behavior, outliers in metrics, and suspicious patterns for security reviews and QA.
  • Use Case: Scan a codebase to surface duplicated logic, inconsistent naming, and regex-based security concerns.

Quick Start

Scan the provided codebase for patterns and anomalies and return a structured report.

Frequently Asked Questions about pattern-detection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect code anomalies and anti-patterns across a repository?▼

Code anomaly detection uses AST analysis and regex-based searches to identify recurring anti-patterns, duplicated logic, and structural hotspots across codebases, returning a structured report of findings.

Can I use regex to find security risks and code smells during a review?▼

Regex-based searches identify security risks and code smells by scanning for suspicious patterns and configurable thresholds, surfacing concerns for security reviews and quality assessments.

What is AST analysis used for when scanning codebases for patterns?▼

AST analysis parses code structure to detect recurring patterns, anti-patterns, and naming inconsistencies, enabling automated discovery of maintainability issues within a repository.

How do I find unusual behavior and outliers in data metrics?▼

Anomaly detection surfaces unusual behavior and outliers in data metrics using statistical methods, identifying suspicious patterns for QA and data monitoring workflows.

Does pattern detection require configurable thresholds for security assessments?▼

Configurable thresholds define sensitivity limits for security assessments, allowing pattern detection to filter anomalies and code smells based on specific risk tolerances.

What's the best way to identify duplicated logic and inconsistent naming in code?▼

Scanning for duplicated logic and inconsistent naming relies on AST analysis and pattern discovery to compare code structures, highlighting repetitive implementations for refactoring.

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