pattern-detector

Analyze codebases to document naming conventions, file organization, and architectural patterns.

2|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/ialameh/sift-coder --skill pattern-detector-ialameh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pattern-detector
Source: https://github.com/ialameh/sift-coder/tree/main/skills/pattern-detector
Command: npx skills add https://github.com/ialameh/sift-coder --skill pattern-detector-ialameh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Skill helps teams understand and document code patterns, conventions, and architectural styles across a codebase to improve consistency and onboarding.

Core Features & Use Cases

  • Analyze naming conventions, file organization, architectural patterns, and coding styles across projects.
  • Generate a patterns report that documents detected patterns for governance and refactoring.
  • Use Case: When joining a new codebase, run pattern detection to align new contributions with existing styles.

Quick Start

Run pattern-detection on your repository to generate a patterns report you can review and share.

Frequently Asked Questions about pattern-detector

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

FAQPage Schema
How do I identify code patterns and architectural styles in an existing codebase?▼

To identify code patterns, you can run static analysis on your repository to detect naming conventions, file organization, and architectural patterns, yielding a structured report for consistency and onboarding.

What is the best way to document coding conventions across multiple projects?▼

Documenting coding conventions across multiple projects involves analyzing the codebase to generate a structured patterns report, which captures detected styles and provides actionable guidance for future refactoring.

Does pattern detection work with multiple programming languages and frameworks?▼

Yes, pattern detection applies across diverse projects and can analyze code style, file organization, and architectural patterns in multiple languages and frameworks without requiring specific dependencies.

How do I analyze naming conventions and file organization for new developer onboarding?▼

Analyzing naming conventions and file organization for onboarding requires running pattern detection on your repository to generate a shareable report that helps new contributors align with existing coding styles.

When should I use static analysis for code pattern detection instead of manual review?▼

Static analysis for code pattern detection is ideal when you need to systematically document architectural styles and conventions across a large codebase, providing structured governance guidance that manual review might miss.