Where can I find the full analysis data?

Detailed results are stored as session-isolated JSON artifacts within the bazinga/artifacts directory of your project.

What is the primary purpose of the Codebase Analysis skill?

It scans your repository to find existing code patterns and utilities, helping you write new features that are consistent with your current architecture.

Does this skill make changes to my source code?

No, it is a read-only analysis tool that provides reports and suggestions to help guide your manual implementation.

How does it identify similar features?

The skill runs a specialized Python script that compares your task description against the codebase to find logic with high similarity percentages.

Can it help with large-scale refactoring?

Yes, by identifying all instances of a pattern or utility, it provides the necessary context for consistent refactoring across the entire codebase.

Codebase Analysis

Name: Codebase Analysis
Author: mehdic

bymehdic

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开发者工具

Analyzes existing source code to identify architectural patterns, reusable utilities, and similar feature implementations.

关于

The Codebase Analysis skill empowers Claude to perform deep scans of your repository to provide context-aware implementation guidance. By automatically detecting similar features, existing service patterns, and available utility functions, it ensures that new code remains consistent with the project's current architecture. This skill is particularly valuable during the discovery phase of a development task, helping developers avoid duplication of effort and adhere to established coding standards by referencing proven logic already present in the codebase.

主要功能

Automated similarity detection for existing feature logic
Session-isolated analysis reports in JSON format
Identification of project-specific architectural and design patterns
Discovery of reusable utility functions and service layers
Context-aware implementation roadmaps based on project history
1 GitHub stars

使用场景

Ensuring new features follow the established service and repository layer architecture
Rapidly onboarding to a large or unfamiliar repository by mapping existing patterns
Locating specific utility functions like validation or token handling to prevent code duplication

关于

主要功能

Automated similarity detection for existing feature logic
Session-isolated analysis reports in JSON format
Identification of project-specific architectural and design patterns
Discovery of reusable utility functions and service layers
Context-aware implementation roadmaps based on project history
1 GitHub stars

使用场景

Ensuring new features follow the established service and repository layer architecture
Rapidly onboarding to a large or unfamiliar repository by mapping existing patterns
Locating specific utility functions like validation or token handling to prevent code duplication