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Found 119 Skills
HTTP API testing for TypeScript (Supertest) and Python (httpx, pytest). Covers REST APIs, GraphQL, request/response validation, authentication, and error handling. Use when user mentions API testing, Supertest, httpx, REST testing, endpoint testing, HTTP response validation, or testing API routes.
You are an API mocking expert specializing in realistic mock services for development, testing, and demos. Design mocks that simulate real API behavior and enable parallel development.
pytest-django integration testing specialist. Covers all fixtures (db, transactional_db, client, rf, settings, mailoutbox, django_user_model), @pytest.mark.django_db options, DRF APIClient, factory_boy integration, async views, signals, management commands, and multi-database testing. USE WHEN: user mentions "pytest-django", "django test", "@pytest.mark.django_db", asks about "django client fixture", "DRF APIClient", "django signals test", "management command test", "django async view test". DO NOT USE FOR: Non-Django Python tests - use `pytest` or `python-integration`; FastAPI - use `fastapi-testing`; Pure container setup - use `testcontainers-python`
Systematic test design with boundary value analysis, equivalence partitioning, decision tables, state transition testing, and combinatorial testing. Use when designing comprehensive test cases, reducing redundant tests, or ensuring systematic coverage.
testcontainers-python specialist. Covers all container modules (PostgreSQL, MySQL, MongoDB, Redis, Kafka, RabbitMQ, MinIO, Elasticsearch, LocalStack), GenericContainer, wait strategies, Docker Compose, networks, pytest fixtures, and CI/CD integration. USE WHEN: user mentions "testcontainers", "docker in tests", "real database in tests", "test with real postgres/redis/kafka", asks about container fixtures or Docker-based testing. DO NOT USE FOR: Spring Boot testcontainers (Java) - use `spring-boot-integration`; Mocking HTTP - use `fastapi-testing`; Pure pytest patterns - use `pytest`
Production-grade Playwright in TypeScript: Page Object Model, fixtures, auto-waiting, user-facing locators, parallel execution, CI integration, visual testing, accessibility. Includes explicit "do not" list for AI agents and 2025-2026 feature awareness. Use when: "Playwright," "browser testing," "E2E test," "end-to-end," "page object." Related: visual-testing, ci-cd-integration, api-testing, test-reliability, accessibility-testing.
Write comprehensive backend tests including unit tests, integration tests, and API tests. Use when testing REST APIs, database operations, authentication flows, or business logic. Handles Jest, Pytest, Mocha, testing strategies, mocking, and test coverage.
Full API lifecycle management through Postman. Sync OpenAPI specs to collections, generate typed client code, run API tests, create mock servers, publish documentation, audit security against OWASP Top 10, and discover APIs across workspaces. Requires the Postman MCP Server. Use this skill when the user mentions Postman, API collections, syncing specs, generating SDKs, running API tests, creating mocks, API documentation, or API security audits. Triggers on tasks involving API development workflows, collection management, or any Postman-related operations.
Run automated release testing (UI or API) via the AWS DevOps Agent using a pre-configured test profile. Use when the user wants to validate multi-step workflows, verify features, check for regressions, or test API endpoints. Trigger words include run tests, UAT, test my app, test profile, UI test, API test, automated testing, regression test, QA, end-to-end test, run the QA agent.
Create professional Bruno REST API endpoint configurations with proper authentication, environment setup, and documentation. Use when setting up API testing with Bruno, creating new endpoints, or configuring collection-level authentication. Triggers on "create Bruno endpoint", "Bruno API testing", "set up Bruno collection".
Test APIs and services with Encore Go.
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.