Total 53,839 skills, Testing & QA has 1920 skills
Showing 12 of 1920 skills
Creates test strategy and ATDD scenarios.
Minimal non-realtime ASR smoke test for Model Studio Qwen ASR.
Run mobile app tests on cloud or local devices via the FinalRun MCP server. Use when: (1) uploading app binaries, (2) running tests or suites on cloud devices, (3) running tests on local devices.
Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating testing resources, or making coverage decisions.
Creates integration tests for API endpoints with database flows, including test harness setup, fixtures, setup/teardown, database seeding, and CI-friendly strategies. Use for "integration testing", "API tests", "database tests", or "test harness".
Design, implement, and maintain high‑value TypeScript test suites using popular JS/TS testing libraries. Use this skill whenever the user is adding tests, debugging failing tests, or refactoring code that should be covered by tests.
Use this skill at the BEGINNING of any detailed review for consistent structure. Use when starting any detailed review workflow, needing consistent structure for capturing context and findings, ensuring comparable review outputs. Do not use when quick catchup without formal review - use catchup. DO NOT use when: diff-focused analysis - use diff-analysis.
Minimal smoke test for OpenClaw setup skill. Validate official channel discovery workflow, DingTalk/Feishu integrations, Discord token configuration, and gateway health checks with non-destructive commands.
Smoke test for alicloud-media-video-translation. Validate minimal authentication, API reachability, and one read-only query path.
Smoke test for alicloud-ai-recommend-airec. Validate minimal authentication, API reachability, and one read-only query path.
Smoke test for alicloud-ai-translation-anytrans. Validate minimal authentication, API reachability, and one read-only query path.
LLM and AI testing patterns — mock responses, evaluation with DeepEval/RAGAS, structured output validation, and agentic test patterns (generator, healer, planner). Use when testing AI features, validating LLM outputs, or building evaluation pipelines.