Does the Codebase Analysis skill modify my source files?

No, the skill only performs read and analysis operations using a specialized Python script and returns a report of findings and suggestions.

How does this skill help prevent code duplication?

It scans your repository for existing utility functions and services that match your current task, suggesting specific files and functions you can reuse instead of rewriting them.

What kind of architectural patterns can it detect?

It identifies common software design patterns used in your project, such as Service Layers, Repository patterns, and specific transaction handling approaches.

Where are the analysis reports stored?

Reports are generated as JSON artifacts in a session-isolated directory, allowing you to reference the full data throughout your development session.

Intelligent Codebase Analysis

Name: Intelligent Codebase Analysis
Author: mehdic

bymehdic

Productivity & Workflow

Analyzes your repository to discover reusable utilities, similar features, and architectural patterns for consistent implementation.

About

The Codebase Analysis skill helps developers navigate complex projects by identifying existing code patterns and logic before new code is written. By running deep-scan scripts, it surfaces similar features with similarity percentages, points out reusable utility functions, and extracts architectural conventions like service layers or repository patterns. This ensures that new implementations remain consistent with the established codebase, reduces technical debt from duplication, and provides AI-driven guidance for high-level architectural decisions.

Key Features

Identification of reusable utility functions and services
Session-isolated analysis reporting in JSON format
0 GitHub stars
Extraction of architectural patterns for implementation consistency
Automated discovery of similar features and logic patterns
Context-aware implementation suggestions based on existing code

Use Cases

Ensuring new features follow the established architectural style of a legacy project
Finding existing utility functions to prevent code duplication across the repository
Quickly onboarding to a new codebase by identifying core service and data patterns

About

Key Features

Identification of reusable utility functions and services
Session-isolated analysis reporting in JSON format
0 GitHub stars
Extraction of architectural patterns for implementation consistency
Automated discovery of similar features and logic patterns
Context-aware implementation suggestions based on existing code

Use Cases

Ensuring new features follow the established architectural style of a legacy project
Finding existing utility functions to prevent code duplication across the repository
Quickly onboarding to a new codebase by identifying core service and data patterns