What architectural patterns can it recognize?

The skill can identify various patterns including Clean Architecture, MVC, MVVM, Repository patterns, Service layers, and Dependency Injection setups.

Does it support specific frameworks like React or TypeScript?

Yes, it is designed to recognize framework-specific patterns such as React/Vue component naming, TypeScript interface prefixes, and modern JavaScript async/await patterns.

How does this improve code generation?

By providing a blueprint of the existing codebase, it allows other tools to verify that new code follows the correct file naming, directory placement, and error handling patterns.

Where are the detected patterns stored?

Detected patterns are saved as a structured JSON file within the .claude/siftcoder-state/knowledge/ directory, allowing them to persist across sessions.

How does Pattern Detector identify project conventions?

It scans the directory structure and reads representative samples of components, services, and configuration files to detect consistent naming, file nesting, and export styles.

Pattern Detector

Name: Pattern Detector
Author: ialameh

byialameh

0•

개발자 도구

Analyzes and documents codebase-specific naming conventions, architectural styles, and coding patterns to ensure consistency in new code generation.

The Pattern Detector skill enables Claude to automatically identify and document the unique DNA of any existing codebase. By scanning directory structures and analyzing sample files, it extracts critical data points such as naming conventions, file organization strategies, architectural layers (like Clean Architecture or MVC), and testing patterns. This structured insight is then stored and used to guide future development, ensuring that any new features or refactored code seamlessly match the established style and technical standards of the project, significantly reducing manual review time.

주요 기능

010 GitHub stars

02Identification of code styles including import ordering and async patterns

03Deep architectural analysis of project layers and dependency rules

04Detection of testing frameworks and mocking patterns

05Automatic extraction of naming conventions for files, variables, and classes

06Mapping of project structures and file organization methodologies

사용 사례

01Ensuring AI-generated code perfectly aligns with project-specific architectural styles

02Generating comprehensive documentation of internal coding conventions for team onboarding

03Analyzing a legacy codebase to understand established standards before adding new features

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ialameh/sift-coder pattern-detector

For use in Claude.ai and ChatGPT

Download Skill