static-inference-expert-claude

Analyzes Java and .NET projects to suggest microservice architectures using static-inference MCP server.

3|Updated Apr 8, 2026

Search Tags:#architecture #microservices #java #dotnet #project analysis

Ready to run

npx skills add https://github.com/raalzate/static-inference --skill static-inference-expert-claude

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: static-inference-expert-claude
Source: https://github.com/raalzate/static-inference/tree/main/skills/static-inference-expert-claude
Command: npx skills add https://github.com/raalzate/static-inference --skill static-inference-expert-claude

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires java-dependency-extractor.jar, dotnet-analyzer, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the analysis of Java and .NET projects, providing a comprehensive evaluation of each component, its dependencies, and suggesting viable microservice architectures.

Core Features & Use Cases

Project Analysis: Analyze Java and .NET projects using the static-inference MCP server.
Microservice Extraction: Propose microservice architectures based on analysis results.
Use Case: When you have a monolithic application and want to restructure it into a microservices architecture, this Skill can help automate the analysis and extraction process.

Quick Start

Use the static-inference-expert-claude skill to analyze the project located at '/path/to/your/project'.

Frequently Asked Questions about static-inference-expert-claude

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract microservices from a monolithic Java or .NET project?▼

To extract microservices from a monolithic Java or .NET project, this Skill automates component analysis, evaluates dependencies, and suggests viable microservice architectures using the static-inference MCP server and a specified analyzer JAR file.

What is the best way to analyze project dependencies before restructuring into microservices?▼

Analyzing project dependencies before restructuring into microservices involves evaluating each component and its relationships within your codebase. This Skill uses static-inference to automate this architecture evaluation and propose microservice boundaries.

Do I need a specific analyzer JAR file to analyze a Java project?▼

Yes, analyzing a Java project requires the java-dependency-extractor.jar file. You must provide the project path and this analyzer JAR file to execute the static-inference dependency analysis and architecture evaluation.

Can I use this microservice extraction approach with both Java and .NET applications?▼

Yes, you can use this microservice extraction approach with both Java and .NET applications. It relies on the java-dependency-extractor.jar and the dotnet-analyzer to evaluate components and suggest architectures across both platforms.

How does static inference evaluate existing code for microservice architecture?▼

Static inference evaluates existing code for microservice architecture by automating the analysis of project components and their dependencies. It uses the static-inference MCP server to process the codebase without runtime execution, proposing viable microservice boundaries.

What are the limitations of using static inference for project analysis?▼

A key limitation of using static inference for project analysis is its reliance on static code structures rather than runtime behavior. It requires specific analyzer JAR files and a valid project path, meaning dynamic dependencies might not be fully captured.