nlinhvu/learn-java-frameworks-marketplace

Claude Code plugin marketplace for learning Java frameworks by rebuilding them from source. Two approaches: API-first (outside-in) and Core-first (inside-out). AI agents analyze real framework code, generate structured learning outlines, and guide you through building simplified working versions with tests.

20Stars on the repository
19Mods indexed here, across every type
4mo agoLast push, which is what freshness is scored on
Apache-2.0Licence, which decides whether bodies are shown

api-code-architect

01

nlinhvu/learn-java-frameworks-marketplace

Agent

Designs API-first vertical slice implementations in simplified Java for features from any-language source projects by analyzing the source project's public API and internal call chains, then providing implementation blueprints with API contracts, technology mappings, depth layer mappings, top-down build sequences, and…

20 4mo ago A 62 tokens original Apache-2.0

api-code-explorer

02

nlinhvu/learn-java-frameworks-marketplace

Agent

Deeply analyzes source projects in any language (Python, Go, Rust, Node.js, C#, Ruby, Java, etc.) from the outside in — starting from the public API surface that clients import and call, tracing each API method/function inward through dispatch, processing, and infrastructure layers, mapping call chains, identifying…

20 4mo ago A 89 tokens original Apache-2.0

api-code-reviewer

03

nlinhvu/learn-java-frameworks-marketplace

Agent

Reviews API-first vertical slice implementations (simplified Java output from any-language source projects) for API contract correctness, call chain completeness, technology mapping accuracy, client-perspective test quality, tutorial accuracy, and adherence to the outside-in learning path conventions, using…

20 4mo ago A 65 tokens original Apache-2.0

core-code-architect

04

nlinhvu/learn-java-frameworks-marketplace

Agent

Designs inside-out implementations in simplified Java for features from any-language source projects — analyzes the source project's patterns and architecture (Python, Go, Rust, Node.js, C#, Ruby, Java, etc.), maps source constructs to Java equivalents, then provides implementation blueprints with class mappings…

20 4mo ago A 74 tokens original Apache-2.0

core-code-explorer

05

nlinhvu/learn-java-frameworks-marketplace

Agent

Deeply analyzes source projects in any language (Python, Go, Rust, Node.js, C#, Ruby, Java, etc.) from the inside out — tracing execution paths, mapping type hierarchies, identifying core abstractions and integration points, and documenting the inside-out dependency structure to inform progressive learning outlines…

20 4mo ago A 72 tokens original Apache-2.0

core-code-reviewer

06

nlinhvu/learn-java-frameworks-marketplace

Agent

Reviews simplified Java implementations (reimplemented from any-language source projects) for correctness, proper integration points, source-to-Java technology mapping accuracy, test quality, tutorial accuracy, and adherence to the inside-out learning path conventions, using confidence-based filtering to report only…

20 4mo ago A 60 tokens original Apache-2.0

nlinhvu/learn-java-frameworks-marketplace

Agent

Designs enterprise Java architecture for re-implementing source projects from any language — adapts stack based on project type (Spring Boot 4 for applications, plain Java 21+ for libraries/frameworks), creates technology mappings with Mermaid visualizations, designs module structure with proper Maven dependency…

20 4mo ago A 79 tokens original Apache-2.0

nlinhvu/learn-java-frameworks-marketplace

Agent

Deeply analyzes source projects in any language (Python, Go, Rust, Node.js/TS, C#, Ruby, Java/Quarkus/Micronaut/Vert.x, etc.) — classifies project type (Application/Library/Framework), maps project structure and dependencies, identifies technologies for Java mapping, extracts business logic and API surfaces, and…

20 4mo ago A 89 tokens original Apache-2.0

nlinhvu/learn-java-frameworks-marketplace

Agent

Reviews enterprise Java re-implementations for correct stack selection per project type, technology mapping accuracy, tutorial completeness (all 10 sections), Mermaid visualization quality, ★ Insight depth, compilation and test correctness, Jakarta namespace compliance, and adherence to enterprise-learning conventions…

20 4mo ago A 67 tokens original Apache-2.0