Can it identify API endpoints and integrations?

Yes, it includes specific patterns for identifying REST controllers, GraphQL resolvers, and Express routes, as well as external service calls and SDK usage.

What programming languages does it support?

The skill includes predefined patterns for C#, Java, and TypeScript, but its core methodologies for structural discovery apply to any major programming language.

Does this skill help in creating a domain model?

Absolutely. It focuses on Phase 2: Domain Model Extraction, which finds entity definitions and maps their relationships and constraints to document the 'ubiquitous language' of the system.

How does this skill help with legacy codebases?

It uses systematic search patterns and heuristics to find entities, validation logic, and workflows, creating a clear map of how a system works even when documentation is missing.

Codebase Analysis & Reverse Engineering

Name: Codebase Analysis & Reverse Engineering
Author: DoubleslashSE

byDoubleslashSE

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Learning & Documentation

Extracts business requirements and domain logic from existing codebases to facilitate brownfield development and system documentation.

About

The Codebase Analysis skill empowers Claude to perform systematic deep-dives into existing 'brownfield' projects to reverse-engineer technical specifications and business intent. By leveraging tools like Grep and LSP, it identifies domain models, extracts complex business rules, maps external integrations, and documents user capabilities. This skill is essential for developers and analysts who need to quickly understand a legacy system's inner workings, onboard to new projects, or create documentation where none exists.

Key Features

User capability and workflow documentation
Language-specific pattern recognition for C#, Java, and TypeScript
Business rule extraction and validation logic identification
Automated domain model and entity relationship mapping
External integration and API contract discovery
1 GitHub stars

Use Cases

Performing architectural audits to map data flows and system dependencies
Extracting business logic for system refactoring or cloud migrations
Onboarding to a legacy project with missing or outdated documentation

About

Key Features

User capability and workflow documentation
Language-specific pattern recognition for C#, Java, and TypeScript
Business rule extraction and validation logic identification
Automated domain model and entity relationship mapping
External integration and API contract discovery
1 GitHub stars

Use Cases

Performing architectural audits to map data flows and system dependencies
Extracting business logic for system refactoring or cloud migrations
Onboarding to a legacy project with missing or outdated documentation