nw-bdd-methodology
SolidBDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation
Install
Quality Score: 92/100
Skill Content
Details
- Author
- nWave-ai
- Repository
- nWave-ai/nWave
- Created
- 3 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
nw-bdd-requirements
BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification
nw-tdd-methodology
Deep knowledge for Outside-In TDD - double-loop architecture, ATDD integration, port-to-port testing, walking skeletons, and test doubles policy
nw-jtbd-bdd-integration
Translating JTBD analysis to BDD scenarios - job story to Given-When-Then patterns, forces-based test discovery, job-map-based test discovery, and property-shaped criteria
test-patterns
Applies proven testing patterns — Arrange-Act-Assert (AAA), Given-When-Then, Test Data Builders, Object Mother, parameterized tests, fixtures, spies, and test doubles — to help write maintainable, reliable, and readable test suites. Use when the user asks about writing unit tests, integration tests, or end-to-end tests; structuring test cases or test suites; applying TDD or BDD practices; working with mocks, stubs, spies, or fakes; improving test coverage or reducing flakiness; or needs guidance on test organization, naming conventions, or assertions in frameworks like Jest, Vitest, pytest, or similar.
plan-writing-gherkin-criteria
Guide for writing Gherkin acceptance criteria using Given-When-Then syntax for testable requirements. Covers scenario structure, background blocks, scenario outlines with examples tables, common patterns for authentication/CRUD/validation/error handling, and best practices for clear testable specifications. Essential for writing user stories and plan acceptance criteria