Unit Testing

Comprehensive plugin development toolkit for creating, testing, and managing plugins across multiple platforms with scaffolding, validation, and deployment utilities.

Infer and verify install/test/lint/build commands for the repo.

Use to validate process documentation. Apply TDD to skill writing: RED (run without skill, document failures) → GREEN (write skill) → REFACTOR (close loopholes). Test under pressure: time constraints, sunk cost, exhaustion, authority.

Evaluate accessibility and WCAG compliance of UI components and pages. Use when the user asks to "check accessibility", "audit a11y", "WCAG review", "screen reader test", or needs to verify inclusive design practices.

Guide developers through property-based testing including property definition, shrinking, and framework-specific implementation

AWS infrastructure as code with Terraform and CDK, including VPC design, EKS cluster setup, S3 bucket configuration, RDS databases, DynamoDB tables, Lambda functions, API Gateway, CloudWatch monitoring, IAM policies, security groups, cost optimization, multi-account strategies, CI/CD with CodePipeline, infrastructure testing, disaster recovery, compliance automation, and cloud-native best practices for production workloads.

Run comprehensive Rust code quality checks including compilation, linting, documentation, and tests. Use after completing code changes and before creating commits.

Use when creating Python projects, managing dependencies with uv, configuring pyproject.toml, building packages, or publishing to PyPI - covers project initialization, dependency management, and distribution; NOT for testing or performance (plugin:python@dot-claude)

How to run swift unit tests

Cross-language testing patterns: unit, integration, E2E testing strategies.Use when: writing tests, setting up test infrastructure, or improving coverage.Triggers: "test", "testing", "unit test", "integration test", "e2e","coverage", "mock", "fixture".

Review test cases for UserInfo Endpoint. Covers access token validation, Bearer token handling, sub claim consistency, scope-based claims, and signed responses per OIDC Core 1.0 Section 5.3.

Build code from GitHub issue specifications. Implements in chunks with tests after each chunk. Uses just commands for quality gates. Creates self-contained modules.

Use when writing or changing tests, adding mocks, or tempted to add test-only methods to production code - prevents testing mock behavior, production pollution with test-only methods, and mocking without understanding dependencies

Build accessible user interfaces following WCAG standards with semantic HTML, keyboard navigation, proper color contrast, and ARIA attributes. Use this skill when creating or modifying UI components, React components, Vue components, web forms, navigation menus, modal dialogs, or any interactive elements. Use this skill when implementing keyboard navigation support, adding ARIA labels and roles, ensuring proper focus management, providing alternative text for images, or testing with screen readers. Use this skill when working with component files (.jsx, .tsx, .vue, .svelte), HTML templates, or any frontend code that renders user-facing interfaces. Use this skill when establishing heading hierarchies, form input labels, or color contrast ratios.

Use this skill when implementing or verifying UI/UX changes on the Triunghi.md website. Triggers include layout modifications, CSS changes, responsive design work, accessibility improvements, or any visual/interactive updates. Essential for systematic verification of deployed changes through browser testing, screenshots, and multi-viewport validation.

Research-driven Cube semantic layer development. Injects research steps for data modeling, dbt integration, metrics, dimensions, REST API, GraphQL API, and SQL API (Postgres wire protocol). Use when building semantic layer, consumption APIs, metrics layer, Cube integration tests, or working with Cube MEASURE() syntax and psycopg2 connections.

Battle-tested code review practices optimizing for codebase health and team velocity

Comprehensive pytest skill for async Python testing with proper mocking, fixtures, and patterns from production-ready test suites. Use when writing or improving async tests for Python applications, especially FastAPI backends with database interactions.

Production gRPC in Go: protobuf layout, codegen, interceptors, deadlines, error codes, streaming, health checks, TLS, and testing with bufconn

Guides the implementation inner loop with TDD practices. Use when coding a feature, writing tests, following red-green-refactor cycle, or working through acceptance criteria incrementally.