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Found 108 Skills
Testing patterns and principles. Unit, integration, mocking strategies.
Generates wiring verification YAML for loom plans. Helps agents prove that features are properly integrated — commands registered, endpoints mounted, modules exported, components rendered. Use when writing truths/artifacts/wiring fields for loom plan stages.
Write behavior-focused tests following Testing Trophy model with real dependencies, avoiding common anti-patterns like testing mocks and polluting production code. Use when writing new tests, reviewing test quality, or improving test coverage.
File a GitHub issue for local integration test failures. TRIGGERS: file test bug, report test failure, create bug for test, integration test failed, test failure issue, junit failure
Test pyramid and testing strategy — unit, integration, and end-to-end test ratios, mocking strategies, test isolation, and what to test. Reference when planning test coverage or evaluating test quality.
Creates test fixtures, mock data, and test scenarios for unit and integration tests. Use when setting up test data, creating mocks, or generating test fixtures.
Complete testing setup with Neon database branching, Playwright browser tests, integration tests, and unit tests. Isolated branches with automatic TTL cleanup.
Agent-based declarative testing with YAML test specs. Tests run in sub-agents to preserve main context while executing many tests. Supports MCP servers, APIs, and browser automation. Use when: testing MCP servers, running integration tests, validating tool behavior after changes, or creating regression test suites. Keywords: yaml tests, agent testing, mcp test, integration tests.
Guidelines for writing effective tests in this project
Analyzes code to identify untested functions, low coverage areas, and missing edge cases. Use when reviewing test coverage or planning test improvements. Generates specific test suggestions with example templates following amplihack's testing pyramid (60% unit, 30% integration, 10% E2E). Can use coverage.py for Python projects.
Generates test code from specifications, components, and API endpoints. Creates unit tests, integration tests, and E2E tests following project testing patterns and conventions.
Testing doctrine, commands, and test layout conventions