Loading...
Loading...
Found 509 Skills
REST and GraphQL API testing with Playwright. Use when testing APIs, mocking endpoints, validating responses, or integrating API tests with E2E flows.
Comprehensive test automation specialist covering unit, integration, and E2E testing strategies. Expert in Jest, Vitest, Playwright, Cypress, pytest, and modern testing frameworks. Guides test pyramid design, coverage optimization, flaky test detection, and CI/CD integration. Activate on 'test strategy', 'unit tests', 'integration tests', 'E2E testing', 'test coverage', 'flaky tests', 'mocking', 'test fixtures', 'TDD', 'BDD', 'test automation'. NOT for manual QA processes, load/performance testing (use performance-engineer), or security testing (use security-auditor).
Expert knowledge of testing Node.js and Express applications including Jest configuration, Supertest for API testing, unit vs integration vs e2e testing, mocking external APIs, test organization, code coverage, CI/CD integration, and TDD practices. Use when writing tests, setting up testing framework, debugging test failures, or adding test coverage.
Consult this skill for Python testing implementation and patterns. Use when writing unit tests, setting up test suites, implementing TDD, configuring pytest, creating fixtures, async testing, writing integration tests, mocking dependencies, parameterizing tests, setting up CI/CD testing. Do not use when evaluating test quality - use pensive:test-review instead. DO NOT use when: infrastructure test config - use leyline:pytest-config.
Extract text from images using OCR. Use when the user shares a screenshot and you need to read the text content, copy UI labels, or extract copy from a design mockup.
Go testing patterns for production-grade code: subtests, test helpers, fixtures, golden files, httptest, testcontainers, property-based testing, and fuzz testing. Covers mocking strategies, test isolation, coverage analysis, and test design philosophy. Use when writing tests, improving coverage, reviewing test quality, setting up test infrastructure, or choosing a testing approach. Trigger examples: "add tests", "improve coverage", "write tests for this", "test helpers", "mock this dependency", "integration test", "fuzz test". Do NOT use for performance benchmarking methodology (use go-performance-review), security testing (use go-security-audit), or table-driven test patterns specifically (use go-test-table-driven).
C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.
Extract comprehensive, production-ready JSON design specifications from visual inputs using a 7-pass serial architecture with cross-validation. Use when converting screenshots, mockups, or design exports into structured design tokens, component specs, accessibility analysis, and developer handoff artifacts.
Quick pragmatic review of .NET test code for anti-patterns that undermine reliability and diagnostic value. Use when asked to review tests, find test problems, check test quality, or audit tests for common mistakes. Catches assertion gaps, flakiness indicators, over-mocking, naming issues, and structural problems with actionable fixes. Use for periodic test code reviews and PR feedback. For a deep formal audit based on academic test smell taxonomy, use exp-test-smell-detection instead. Works with MSTest, xUnit, NUnit, and TUnit.
Generates production-grade Playwright automation scripts and E2E tests in TypeScript, JavaScript, Python, Java, or C#. Supports local execution and TestMu AI cloud across 3000+ browser/OS combinations and real mobile devices. Use when the user asks to write Playwright tests, automate browsers, run cross-browser tests, test on real devices, debug flaky tests, mock APIs, or do visual regression. Triggers on: "Playwright", "E2E test", "browser test", "run on cloud", "cross-browser", "TestMu", "LambdaTest", "test my app", "test on mobile", "real device".
Guides agents through the first frontend implementation pass from a Google Stitch prototype bundle. Use when the user asks to initialize a frontend project from tech-stack.md, convert design.md/prd.md and Stitch HTML/image prototypes into consistent pages, create mock-data-backed screens with reserved backend API calls, and coordinate every phase with $eliteforge-task-progress-tracker and user confirmations.
Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples.