asterisk-tester
Тестирование сценариев Asterisk dialplan и потоков звонков используя безопасные Local каналы. Использовать при тестировании логики маршрутизации звонков, отладке проблем dialplan или проверке потоков IVR меню.
Тестирование сценариев Asterisk dialplan и потоков звонков используя безопасные Local каналы. Использовать при тестировании логики маршрутизации звонков, отладке проблем dialplan или проверке потоков IVR меню.
Тестирование веб-интерфейса MikoPBX через BrowserStack. Запуск PHPUnit тестов с Selenium WebDriver в облачных браузерах. Использовать для автоматизированного тестирования админ-панели, проверки форм, навигации и интерактивных элементов.
Генерация полных Python pytest тестов для REST API эндпоинтов с валидацией схемы. Использовать при создании тестов для новых эндпоинтов, добавлении покрытия для CRUD операций или валидации соответствия API с OpenAPI схемами.
Provides browser automation command reference and usage patterns. This skill should be used when the user asks for guidance on web testing, form filling, capturing screenshots, extracting data, or needs help with agent-browser commands.
Performs thorough code reviews for Flutter/Dart pull requests and merge requests. Use when asked to review a PR, MR, branch, or a set of changed files. Follows a structured checklist covering correctness, security, style, testing, and documentation.
Generates and maintains end-to-end tests for Flutter apps using Patrol. Use when adding E2E coverage for new features, regression tests for UI bugs, or testing native interactions (permissions, system dialogs, deep links)
Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.
Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to "simplify code", "clean up code", "refactor for clarity", "improve readability", or review recently modified code for elegance. Focuses on project-specific best practices.
Write readable, maintainable code through disciplined naming, small functions, and clean error handling. Use when the user mentions "code review", "naming conventions", "function too long", "code smells", "readable code", "boy scout rule", "single responsibility", or "unit test quality". Also trigger when reviewing pull requests for readability, refactoring messy functions, debating comment styles, or improving error handling patterns. Covers SRP, comment discipline, formatting, and unit testing. For refactoring techniques, see refactoring-patterns. For architecture, see clean-architecture.
Apply named refactoring transformations to improve code structure without changing behavior. Use when the user mentions "refactor this", "code smells", "extract method", "replace conditional", "technical debt", "move method", "inline variable", or "decompose conditional". Also trigger when cleaning up legacy code, preparing code for new features by restructuring, or identifying which transformation to apply to a specific code smell. Covers smell-driven refactoring, safe transformation sequences, and testing guards. For code quality foundations, see clean-code. For managing complexity, see software-design-philosophy.
MANDATORY: When writing Go tests, you MUST use 'When...it should...' format for ALL test names. When writing any Go code, you MUST remind user to run 'make lint-fix' and 'make verify'. These are non-negotiable HyperShift requirements.
Pre-merge SQL quality gate — lint 26 anti-patterns, grade readability/performance A-F, validate syntax, and scan for injection threats. Use before committing or reviewing SQL changes.
Generate dbt unit tests automatically for any model. Analyzes SQL logic (CASE/WHEN, JOINs, window functions, NULLs), creates type-correct mock inputs from manifest schema, and assembles complete YAML. Use when a user says "generate tests", "add unit tests", "test this model", or "test coverage" for dbt models.
Provides the ability to run and iterate on HyperShift e2e tests. Auto-applies when implementing features that require e2e validation, fixing e2e test failures, or working on tasks that need live cluster testing.
**WORKFLOW SKILL** — Runs `mage preflight` from `cli/azd/` and auto-fixes failures. Covers linting, formatting, copyright, spelling, build, and tests. Iterates fix-then-rerun cycles until all checks pass. INVOKES: mage CLI, go CLI, golangci-lint, cspell, bash/sh, ask_user. USE FOR: azd preflight, run preflight, preflight checks, pre-commit checks, azd lint, azd build and test, validate azd changes, check azd code quality, mage preflight. DO NOT USE FOR: deploying azd (use azure-deploy), changelog (use changelog-generation), creating PRs (use pull-request), running only unit tests without the full suite.
Create E2E test file for a specified module. Use when adding end-to-end tests for controllers.
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.