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.