What languages does the Codebase Analysis skill support?

It supports a wide range of ecosystems including Node.js, JavaScript, TypeScript, Python, Go, Rust, Java, Ruby, and Flutter/Dart.

What is 'Brownfield Mode' used for?

Brownfield Mode is specifically designed for planning new features against existing code, identifying database entities and potential collision risks before development begins.

Can it identify security and testing gaps?

Yes, it performs an 'Essential Floor' assessment to check for auth middleware, environment variable usage, test coverage markers, and structured logging practices.

How does it detect architectural patterns?

The skill scans directory structures and file markers for common patterns like MVC, Clean/Hexagonal Architecture, Feature-based organization, and Microservices.

How does it help with AI project setup?

It generates a comprehensive 'codebase-analysis.md' file that serves as a source of truth for Claude, ensuring the AI understands the project's 'DNA' and quality gates.

Codebase Analyzer & Architect

Name: Codebase Analyzer & Architect
Author: deepeshBodh

bydeepeshBodh

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개발자 도구

Analyzes complex codebases to identify tech stacks, architectural patterns, and structural risks for seamless brownfield development.

The Codebase Analysis skill enables Claude to perform deep, systematic scans of existing software projects to extract vital technical context. It automates the detection of frameworks, ORMs, and architectural styles while assessing the 'Essential Floor' of a project—including security, testing, and observability standards. Whether you are onboarding a legacy project or planning new features, this skill identifies collision risks and documents project conventions to ensure AI-generated code aligns perfectly with your existing standards and governance.

주요 기능

01Essential Floor assessment for security, testing, and observability maturity

02Automated tech stack and framework detection across multiple languages

03Architectural pattern recognition for MVC, Hexagonal, and Feature-based systems

04Brownfield analysis to map entities and identify implementation collision risks

057 GitHub stars

06Automated report generation for project onboarding and AI constitution authoring

사용 사례

01Mapping API endpoints and database entities before implementing complex new features

02Onboarding Claude to a legacy project to understand existing naming conventions and patterns

03Auditing project health and consistency across security, testing, and error-handling dimensions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add deepeshbodh/human-in-loop analysis-codebase

For use in Claude.ai and ChatGPT

Download Skill