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Found 88 Skills
Creates a QA planning subtask in the configured issue tracker tagged `qa-plan`, with test cases derived only from the ticket's functional and technical requirements.
Design accessibility testing plans and test cases covering WCAG 2.1 standards, screen readers, and keyboard navigation. Default output is Markdown, with support for requesting Excel/CSV/JSON formats. Use for accessibility testing.
AscendC Operator Precision Evaluation. Generate a comprehensive precision test case set (≥30 cases) for the compiled and installed operator, run the tests and generate a precision verification report. Keywords: precision test, precision evaluation, precision report, accuracy, error analysis. After execution, YOU MUST display the overview, failure summary and key findings in the current conversation, and must not only attach the report path.
Analyze test coverage gaps and generate tests to improve coverage. Use when improving test coverage, finding untested code, or writing missing tests.
Import datasets from HuggingFace and convert them to Coval test sets. Use when the user wants to create test cases from HuggingFace dataset or repository.
Convert feature requirements into structured end-to-end test cases as JSON.
Find branch coverage gaps in changed code and fix them by writing missing tests. Two analysis layers: Source ↔ Test (logic branches vs test cases) and Spec ↔ Test (requirement scenarios vs test cases, when a spec file is provided). Use when verifying test completeness after implementing a feature or fixing a bug, when auditing whether tests match a spec, or when suspecting untested branches.
Design API testing plans and test cases covering REST/GraphQL/gRPC interfaces. Default output is Markdown, and Excel/CSV/JSON output can be requested. Use for API testing or api-testing.
Systematic LLM prompt engineering: analyzes existing prompts for failure modes, generates structured variants (direct, few-shot, chain-of-thought), designs evaluation rubrics with weighted criteria, and produces test case suites for comparing prompt performance. Triggers on: "prompt engineering", "prompt lab", "generate prompt variants", "A/B test prompts", "evaluate prompt", "optimize prompt", "write a better prompt", "prompt design", "prompt iteration", "few-shot examples", "chain-of-thought prompt", "prompt failure modes", "improve this prompt". Use this skill when designing, improving, or evaluating LLM prompts specifically. NOT for evaluating Claude Code skills or SKILL.md files — use skill-evaluator instead.
Universal generation template for OpenHarmony XTS test cases. Supports test case generation for various subsystems, API definition parsing, test coverage analysis, and code specification checking. Trigger keywords: XTS, test generation, case generation, test case.
Tests map primitive with additional operation arguments
Smoke test for alicloud-media-vod. Validate minimal authentication, API reachability, and one read-only query path.