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Found 424 Skills
Generate and edit images with OpenAI GPT-Image-2 via inference.sh CLI. Models: GPT-Image-2. Capabilities: text-to-image, image editing, inpainting, mask-based editing, multi-image reference, batch generation. Use for: product mockups, marketing visuals, image editing, concept art, inpainting, photo manipulation. Triggers: gpt image, gpt-image-2, openai image, chatgpt image, dall-e, dalle, openai image generation, gpt image edit, gpt inpainting, openai dall-e, gpt 4o image
Designer-turned-developer who crafts stunning UI/UX even without design mockups
A designer-turned-developer who crafts stunning UI/UX even without design mockups. Code may be a bit messy, but the visual output is always fire.
Complete Java Spring Boot skill set for building enterprise applications. Includes modular architecture with optional components: - PostgreSQL database with JPA/Hibernate + Flyway migration - Redis caching (optional) - Kafka/RabbitMQ messaging (optional, choose one) - JWT + OAuth2 authentication (optional OAuth2) - RBAC authorization (optional) - TDD with Mockito - Spec-First Development with OpenSpec
This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
Use when writing E2E web tests, debugging flaky tests, or setting up Playwright CI. Covers: stable selectors (getByRole), parallelization/sharding, flake control, network mocking, visual testing, MCP/AI automation, and CI/CD integration.
Comprehensive React component testing with Jest and React Testing Library covering configuration, mocking strategies, async testing patterns, hooks testing, and integration testing best practices
Creates comprehensive frontend UI/UX designs including user interfaces, design systems, component libraries, responsive layouts, and accessibility implementations. Produces wireframes, mockups, design specifications, and implementation guidelines. Use when designing user interfaces, creating design systems, building component libraries, implementing responsive designs, ensuring accessibility compliance, or when users mention UI design, UX design, interface design, design systems, user experience, or frontend design patterns.
Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.
Generate realistic, consistent test data using factories, fixtures, and fake data libraries. Use for test data, fixtures, mock data, faker, test builders, and seed data generation.
Unit tests for scheduled and async tasks using @Scheduled and @Async. Mock task execution and timing. Use when validating asynchronous operations and scheduling behavior.
.NET Testing Basic Skills Overview and Guidance Hub. Triggered when users ask general testing questions such as "How to write .NET tests", "Introduction to .NET testing", "What testing tools are needed", "Testing best practices", "Learn testing from scratch", etc. It will recommend suitable sub-skill combinations based on specific needs, covering 19 basic skills including testing fundamentals, test data, assertions, mocking, special scenarios, etc. Keywords: dotnet testing, .NET testing, testing introduction, how to write tests, testing best practices, unit test, unit testing, xunit, 3A pattern, FIRST principles, assertion, assertion, mock, stub, NSubstitute, test data, AutoFixture, Bogus, validator, FluentValidation, TimeProvider, IFileSystem, code coverage, ITestOutputHelper, test naming