production-readiness
Generate comprehensive pre-launch checklist of user stories, acceptance criteria, and smoke tests to validate before going live in production.
Discover blockchain testing skills, compare source repositories and read the instructions for each workflow.
Generate comprehensive pre-launch checklist of user stories, acceptance criteria, and smoke tests to validate before going live in production.
Generate comprehensive E2E test plans from PRDs, task lists, or descriptions with environment-aware prerequisites and issue tracking.
Generate comprehensive E2E test plans from PRDs, task lists, or descriptions with environment-aware prerequisites and issue tracking.
Browser automation for testing and verification. Use after building or modifying web UI to verify changes work. Uses Playwright's accessibility tree, not pixel-based input. LLM-friendly: no vision models needed...
Always use this skill when writing or editing software tests!
VST3 plugin testing patterns and practices. Use when writing tests, debugging test failures, adding new test cases, when tests don't appear after changes, or when working with DSP algorithms that need verificat...
This skill provides patterns and best practices for generating and organizing tests. It covers unit testing, integration testing, test data factories, and coverage strategies across multiple languages and frame...
Comprehensive persona journey testing and UX verification across all personas
Enhanced testing infrastructure with TestContext and Page Objects for Playwright. Covers E2E testing patterns, accessibility testing, API testing, and best practices for maintainable test organization.
Detects bugs, logic errors, and edge case handling issues in code. Use when reviewing code for runtime errors, null/undefined handling, type errors, and edge cases. Returns structured bug reports with file path...
Writes comprehensive test cases including unit tests, integration tests, and E2E tests. Use when implementing test requirements from tasks. Creates tests that cover happy paths, edge cases, error conditions, an...
Compares code implementation against specifications and requirements. Verifies functional requirements, non-functional requirements, acceptance criteria, and technical specifications are met. Returns structured...
Generate comprehensive test cases for code. Use when writing unit tests, integration tests, or test suites. Creates tests that cover happy paths, edge cases, error conditions, and follow testing best practices...
Run the test suite for the Ralph CLI
agent-browserを使用したフロントエンド実装の検証スキル。UI実装後の動作確認、インタラクションテスト、アクセシビリティ確認に使用。「フロントエンドを検証」「UIを確認」「/frontend-verify」「画面の動作確認」などで使...
Test skill to verify frontmatter hooks work. Use when asked to test skill hooks.
Use when developing and testing Microsoft Agent Framework agents locally. Triggers: "DevUI", "agent testing", "local development", "agent debugging", "test harness". NOT for: Production deployment or AG-UI web...
TDD Red Phase expert. Activate when: - Starting new feature development with TDD - User mentions "write test first", "failing test", "red phase" - Need to design test cases before implementation - Questions abo...
TDD Green Phase expert. Activate when: - Test is written and failing, need to make it pass - User mentions "make test pass", "green phase", "minimal implementation" - Writing implementation code to satisfy test...
AI-driven test generation with mutation testing and property-based testing. Research shows property-based tests find 50x more bugs than unit tests. Use when: - Need comprehensive test coverage for new code - Co...
Guide for writing pytest unit tests for the airline-discount-ml project. Use when asked to create, run, or debug Python unit tests for models, data access, or agents.
Standard procedure for generating comprehensive pytest test suites following airline-discount-ml project patterns and test instructions.
Standard procedure for creating reusable pytest fixtures in conftest.py files for the airline-discount-ml project.
Standard procedure for checking test coverage using pytest-cov in the airline-discount-ml project.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.