By gagandeepp
Java language module for the backend coding agent — Spring Boot, JUnit 5, jdtls LSP
Use when writing or reviewing Java code — enforces modern Java patterns including records, sealed classes, Optional, streams, text blocks, pattern matching for instanceof, and effective Java principles
Use when implementing Spring Boot features — enforces patterns for REST controllers, service layer, JPA repositories, Spring Security, configuration, and dependency injection
Use when scaffolding or reviewing Java project layout — Maven or Gradle build conventions, Spring Boot application structure, multi-module organization, and package naming
Use when writing tests for Java code — JUnit 5 with AssertJ assertions, Mockito mocking, Testcontainers for integration tests, and Spring Boot test slices
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Node.js/TypeScript language module for the backend coding agent — NestJS/Express/Fastify, Jest, typescript-language-server LSP
C# language module for the backend coding agent — ASP.NET Core, xUnit, OmniSharp LSP
Snyk Code (SAST), Open Source (SCA), IaC, and Container remediation skills for the security-coding-agent
Core plugin for the frontend coding agent. Provides config resolution, component-first routing, accessibility review, guidelines ingestion, optional vector memory, and shared skills for React + Next.js, Angular, and Vue + Nuxt.
Go language module for the backend coding agent — Gin/Echo/Chi, testify, gopls LSP
npx claudepluginhub gagandeepp/software-agent-teams --plugin backend-javaComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer
Evidence-gated AI coding workflow: scan → analyze → plan → TDD → execute → fix → verify → review, powered by Codebase Memory MCP >= 0.9.0 with optional Serena LSP intelligence. Includes blast-radius planning, test/cycle gates, independent review, and Windows Git Bash hook auto-resolution.
Persistent coding companion for Claude Code, Pi, and Oh My Pi. MCP-based terminal pet with ASCII art, stats, reactions, and personality.