Loading...
Loading...
Found 177 Skills
Provides patterns for running WireMock as a standalone Docker container to mock external APIs for integration and end-to-end testing. Use when testing API integrations without modifying application code, simulating third-party services, or testing error scenarios.
Sets up end-to-end testing with Cypress or Playwright including page objects, fixtures, and CI integration. Use when users request "E2E testing", "Cypress setup", "Playwright setup", "browser testing", or "integration tests".
Run tests from skill examples and generate a report (project)
Cypress end-to-end testing for web apps. Use for E2E testing.
Reproduce a bug from a Linear ticket with a failing test. Expects the full ticket context (title, description, comments) to be provided as input.
Set up Playwright in a project. Use when user says "set up playwright", "add e2e tests", "configure playwright", "testing setup", "init playwright", or "add test infrastructure".
End-to-end test-fix workflow generate test sessions with progressive layers (L0-L3), then execute iterative fix cycles until pass rate >= 95%. Combines test-fix-gen and test-cycle-execute into a unified pipeline. Triggers on "workflow:test-fix-cycle".
프로젝트에 E2E 테스트 환경을 설정합니다. 글로벌 도구 설치 체크, Chrome Beta 확인, e2e/ 인프라 코드 배포. Use when: "e2e 세팅", "e2e setup", "E2E 환경 설정", "E2E 초기 설정" 키워드.
Run, watch, debug, and extend OpenClaw QA testing with qa-lab and qa-channel. Use when Codex needs to execute the repo-backed QA suite, inspect live QA artifacts, debug failing scenarios, add new QA scenarios, or explain the OpenClaw QA workflow. Prefer the live OpenAI lane with regular openai/gpt-5.4 in fast mode; do not use gpt-5.4-pro or gpt-5.4-mini unless the user explicitly overrides that policy.
Spec-driven E2E test creation: plan what to test through structured discovery phases, then scaffold a local Shiplight test project and write YAML tests by walking through the app in a browser.
External verl end-to-end validation workflow for Megatron-Bridge model/provider changes. Covers running a small verl Megatron backend job from a Bridge checkout, choosing LoRA/DDP plus optional save/resume and parallelism variants, setting PYTHONPATH so verl imports the local Bridge tree, and reporting pass/fail evidence.
Agent-ergonomic browser automation with token-efficient accessibility tree snapshots and combined operations