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Found 2,530 Skills
Guide AI agents in creating AppiumLibrary tests for iOS and Android native apps, hybrid apps, and mobile browsers. Load when asked about mobile testing, Appium, or mobile app automation.
Testing patterns for Prowler SDK (Python). Trigger: When writing tests for the Prowler SDK (checks/services/providers), including provider-specific mocking rules (moto for AWS only).
Guide for implementing configurable options for lint rules and assists. Use when rules need user-configurable behavior. Examples:<example>User wants to add options to a lint rule</example><example>User needs to implement JSON deserialization for rule config</example><example>User is testing rule behavior with different options</example>
DART testing patterns - unit tests, integration tests, CI validation
Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or comparing models for production deployment.
Develop React applications for VS Code Webview surfaces. Use when working on the `webview-ui` package, creating features, components, or hooks for VS Code extensions. Includes project structure, coding guidelines, and testing instructions.
Guide for implementing James Shore's Nullables pattern and A-Frame architecture for testing without mocks. Use when implementing or refactoring code to follow patterns of: (1) Separating logic, infrastructure, and application layers, (2) Creating testable infrastructure with create/createNull factory methods, (3) Writing narrow, sociable, state-based tests without mocks, (4) Implementing value objects, (5) Building infrastructure wrappers that use embedded stubs, or (6) Designing dependency injection through static factory methods.
Set up GitHub Actions workflows for CI/CD with automated testing, linting, and deployment for Python/UV projects. Use when creating CI pipelines, automating tests, or setting up deployment workflows.
React 18 patterns for LlamaFarm Designer. Covers components, hooks, TanStack Query, and testing.
Connect the complete AI development workflow through documents. It covers domain modeling and code organization (DDD), behavior verification and automated testing (BDD), as well as AI development specification setting (Agent specifications). Use when (1) the project has .feature files, (2) the user asks to organize code by business features or define naming conventions, (3) creating or updating AGENTS.md / project rule files, (4) writing or implementing Gherkin scenarios, (5) starting a new project from scratch, or (6) the agent needs the full development lifecycle.
Comprehensive documentation of Claude's capabilities for visual regression testing, CI/CD integration, and quality assurance automation. Use when setting up testing infrastructure, implementing visual regression, or understanding agent testing capabilities. (project)
Provides patterns for unit testing utility/helper classes and static methods. Validates pure functions and helper logic. Use when verifying utility code correctness.