Testing and QA

Source details, install context, and public review data are available on the full page.

Spring Boot ships with a cache abstraction that wraps expensive service calls behind annotation-driven caches. This abstraction supports multiple cache providers (ConcurrentMap, Caffeine, Redis, Ehcache, JCache) without changing business code. The skill provides a concise workflow for enabling caching, managing cache...

This skill provides patterns for unit testing @RestController and @Controller classes using MockMvc. It covers testing request/response handling, HTTP status codes, request parameter binding, validation, content negotiation, response headers, and exception handling by mocking service dependencies for isolated...

Upgrade a React Native Community CLI project to a target version by fetching and applying the diff from the React Native Upgrade Helper .

Optimize vague prompts into precise, actionable specifications using EARS (Easy Approach to Requirements Syntax) - a Rolls-Royce methodology for transforming natural language into structured, testable requirements.

Implement federated plugins to split a plugin's API across multiple packages, allowing independent teams to build platform-specific implementations. Structure federated plugins into three distinct components:

Define tools and enable AI agents to interact with external systems, APIs, and services using LangChain4j's annotation-based and programmatic tool system.

Comprehensive guide for writing high-quality, idiomatic, and highly optimized Rust code. Contains 179 rules across 14 categories, prioritized by impact to guide LLMs in code generation and refactoring.

This skill generates comprehensive, requirement-driven test cases from PRD documents or user requirements.

The skill is based on uni-app documentation, generated at 2026-01-30.

Build workflow-based skills that execute reliably by following structural patterns, not prose.

Use this as a quick router to the right Skill for your task. Each entry links to a focused Skill optimized for a coding agent’s limited context.

Guide product managers through creating an Opportunity Solution Tree (OST) by extracting target outcomes from stakeholder requests, generating opportunity options (problems to solve), mapping potential solutions, and selecting the best proof-of-concept (POC) based on feasibility, impact, and market fit. Use this to...

Status : Production Ready Last Updated : 2026-01-25 Dependencies : None (standalone skill) Latest Versions : firebase@12.8.0, firebase-admin@13.6.0

Articulate a problem from the user's perspective using an empathy-driven framework that captures who they are, what they're trying to do, what's blocking them, why, and how it makes them feel. Use this to align stakeholders on the problem before jumping to solutions, and to frame product work around user outcomes...

Source details, install context, and public review data are available on the full page.

This skill provides comprehensive patterns for testing utility classes and static methods using JUnit 5. It covers testing pure functions without side effects, edge case handling, boundary conditions, and common utility patterns like string manipulation, calculations, collections, and data validation.

This is the v1.8+ canonical loop skill name. It supersedes autonomous-loops while keeping compatibility for one release.

To accomplish integration of LangChain4j with Spring Boot applications, follow this comprehensive guidance covering auto-configuration, declarative AI Services, chat models, embedding stores, and production-ready patterns for building AI-powered applications.

Search all past Claude Code and Codex sessions using full-text search with BM25 ranking.

Preserve the old skill name without pretending a generic skill runtime can always import the real session transcript.

Implement Model Context Protocol (MCP) servers with LangChain4j to extend AI capabilities with standardized tools, resources, and prompt templates.

Generates architecture diagrams directly from Terraform .tf files. Specializes in parsing Terraform code and visualizing infrastructure resources, modules, and their relationships.

Source details, install context, and public review data are available on the full page.