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test-automation-suite
Unified runner for smoke tests, visual regression checks, and reliability reporting.
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documentation testing AI Skills
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GitHub
forge-fuzz-testing
Property-based testing with Foundry's fuzzer. Use when writing fuzz tests, invariant tests, or testing edge cases. Covers fuzz test structure, input constraints, fixtures, and invariant testing patterns.
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GitHub
java-test-engineer
This skill should be used when the user asks to 'write unit tests', 'add integration tests', 'create property-based tests', 'fix failing test', 'improve test coverage', 'reduce mocking', 'test this class', 'add...
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GitHub
nestjs-testing
Creates unit and e2e tests for NestJS applications using Jest and Supertest. Includes patterns for testing services, controllers, guards, and e2e tests with testcontainers.
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GitHub
strategy
Testing philosophy, patterns, and quality metrics. Covers the testing pyramid, test design patterns (AAA, BDD, fixtures, factories), edge case checklists, and debugging flaky tests.
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GitHub
chaos-engineering-runner
Plan fault injection and resilience tests.
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GitHub
commit
Run tests and commit changes if tests pass
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GitHub
e2e-testing
E2Eテスト設計・実装。クリティカルパス検証とユーザージャーニー保証。
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GitHub
service-test-with-dbunit
Create unit tests for Service classes using DBUnit and Spring Test DBUnit. Use this skill when writing integration tests for Service layer that require database setup with test data, when testing methods that i...
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GitHub
unit-test-suite
Use this agent to create comprehensive unit test suites for backend and frontend. User: "Add unit tests for the auth module" Agent: Use unit-test-suite to create tests User: "Improve test coverage" Agent:...
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GitHub
test-engineer
Full-stack testing specialist for Faiston NEXO. Use when writing tests, fixing test failures, or validating behaviors across Frontend (Vitest, RTL, MSW), Backend (pytest, FastAPI), and Agents (Google ADK mockin...
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GitHub
testing-patterns
TDD, mocking, and test structure patterns. Use when writing tests, implementing TDD, creating mocks, or discussing test coverage and testing strategies.
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GitHub
simulation-invariant-auditor
Proactively audits simulation logic while coding by collecting real artifacts via terminal access, generating helper scripts for repetitive workflows, and validating deterministic invariants across ticks, event...
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GitHub
mock-data-generator
Create realistic fixtures and factories.
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GitHub
java-testing-integration
Design and implement deterministic integration tests (DB/queue/external IO) using Testcontainers-style thinking, with a fixture strategy and CI-friendly execution. Use when IO/DB bugs, wiring issues, or product...
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GitHub
testing-patterns
Guidelines for testing the application, including directory structure, coverage requirements, mocking external APIs, and validation tests.
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GitHub
forge-testing
Write and run Solidity tests with Foundry. Use when writing unit tests, integration tests, or debugging test failures. Covers test structure, assertions, cheatcodes, and running tests with forge test.
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GitHub
playwright-run
Run this project's existing Playwright test suite in app/tests/. Use for running committed tests, updating snapshots, or CI validation. NOT for writing new tests or ad-hoc browser automation.
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GitHub
testify
Testing toolkit with assertions, mocks, and suites.
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GitHub
x07-test
Run project tests using the X07 test harness (x07 test), producing a machine-readable JSON report.
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GitHub
dotnet-test-triage
Run dotnet test, capture failed test cases, and generate a rerun filter plus a markdown failure summary. Use when test runs fail and you need a focused rerun command or a compact failure report.
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GitHub
testing
Testing patterns for game client and server. Auto-applies when working with tests or implementing features that need testing.
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GitHub
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure fir...
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GitHub
investigate
Investigate connection points between specs, atomic specs, and master specs. Surface inconsistencies in env vars, APIs, data shapes, and deployment assumptions before implementation.
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