writing-test-code
Guidelines for writing BDD-style test code using Ginkgo/Gomega framework in Go. Use when writing tests for Kubernetes operators, controllers, or Go services. Focuses on behavior-driven development with Given-Wh...
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Guidelines for writing BDD-style test code using Ginkgo/Gomega framework in Go. Use when writing tests for Kubernetes operators, controllers, or Go services. Focuses on behavior-driven development with Given-Wh...
Create test suites with unit, integration, and e2e tests. Use when setting up tests, improving coverage, or when user asks about testing.
Generate regression tests when bugs are discovered during /debug or continuous checks. Auto-detects test framework, creates Arrange-Act-Assert tests, and links to error-log.md entries. (project)
This skill should be used when writing tests, fixing bugs, adding features, or modifying the gateway layer. Use when you need guidance on testing architecture, working with fakes, implementing ABC gateway inter...
Write tests following project conventions. Use when adding new tests or modifying existing ones.
Create comprehensive implementation plans with detailed file-level changes and test strategies
Implements stories with code and tests.
Creates test strategy and ATDD scenarios.
ALWAYS load before writing or modifying Foundry test files (.t.sol). Covers fuzz testing, gas benchmarks, naming conventions, and test patterns.
Agent for validating Hex1b documentation against actual library behavior. Use when auditing documentation accuracy, testing interactive examples, or identifying discrepancies between documentation and implement...
Framework-agnostic HTTP API route testing patterns, authentication strategies, and integration testing best practices. Supports REST APIs with JWT cookie authentication and other common auth patterns.
Use when planning tests, creating test cases, reporting bugs, or executing Unit/E2E/Security/Performance tests.
Test-Driven Generation uses TDD (Test-Driven Development) techniques to generate tests and code in Red-Green-Refactor loops. Key words to detect are tdg, TDG.
Creates and modifies Storybook stories for Atomic components and sample pages. Uses MSW for API mocking, follows ui-kit conventions. Use when creating stories, adding component examples, building sample pages,...
Testing patterns for LLM-based applications. Use when testing AI/ML integrations, mocking LLM responses, testing async timeouts, or validating structured outputs from LLMs.
Unit testing patterns and best practices. Use when writing isolated unit tests, implementing AAA pattern, designing test isolation, or setting coverage targets for business logic.
Mock Service Worker (MSW) 2.x for API mocking. Use when testing frontend components with network mocking, simulating API errors, or creating deterministic API responses in tests.
VCR.py HTTP recording for Python tests. Use when testing Python code making HTTP requests, recording API responses for replay, or creating deterministic tests for external services.
Advanced pytest patterns including custom markers, plugins, hooks, parallel execution, and pytest-xdist. Use when implementing custom test infrastructure, optimizing test execution, or building reusable test ut...
Use when testing web applications with AI-assisted Playwright. Webapp testing covers autonomous test agents for planning, generating, and self-healing tests.
Comprehensive feature verification with parallel analysis agents. Use when verifying implementations, testing changes, validating features, or checking correctness.
Integration testing patterns for APIs and components. Use when testing component interactions, API endpoints with test databases, or service layer integration.
Use when completing tasks, code reviews, or deployments to verify work with evidence. Collects test results, build outputs, coverage metrics, and exit codes to prove work is complete.
Performance and load testing with k6 and Locust. Use when validating system performance under load, stress testing, identifying bottlenecks, or establishing performance baselines.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.