Loading...
Loading...
Found 54 Skills
Combinatorial testing with a greedy pairwise matrix generator. Covers all factor pairs in near-minimal test cases.
Use when you need to generate or update `{FEATURE_DIR}/verification/suites.md` (test suite) during the verification phase of Spec Pack, organize test cases into executable sets and define blocking rules and execution order.
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.
设计移动端（iOS/Android）测试方案与用例，覆盖功能、兼容性、性能、网络、安全等。默认输出 Markdown，可请求 Excel/CSV/JSON。Use for 移动端测试 or mobile testing.
Interactively set up a first Coval AI evaluation. Guides users through installing the CLI, connecting an agent, creating personas, building test cases, selecting metrics, and launching their first eval run. Use when user says "onboard", "get started", "set up evaluation", "first eval", "new to coval", or wants help creating their first test run.
Property-based testing with fast-check (TypeScript/JavaScript) and Hypothesis (Python). Generate test cases automatically, find edge cases, and test mathematical properties. Use when user mentions property-based testing, fast-check, Hypothesis, generating test data, QuickCheck-style testing, or finding edge cases automatically.
Create, improve, and test skills for the z-schema JSON Schema validator library. Use this skill whenever the user wants to create a new skill from scratch, turn a workflow into a reusable skill, update or refine an existing skill, write test cases for a skill, or organize reference material for a skill. Also use when someone mentions "skill", "SKILL.md", or wants to document a z-schema workflow for reuse by humans or AI agents.
Guides QA engineers through daily testing activities—morning review, test case creation, automation, exploratory testing, bug reporting, and end-of-day wrap-up. Use when planning or executing day-to-day testing or when the user asks about daily testing workflow.
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.
Creates new Robot Framework test cases for SnapLogic pipeline testing. Use when the user wants to create a new test file, add test cases to existing files, or needs test templates for specific system types (Oracle, PostgreSQL, Snowflake, etc.).
Automated fix skill that reads review reports and applies fixes to TSPEC (Test Specification) documents - handles broken links, element IDs, test case structure issues, and iterative improvement
Creates a QA planning subtask tagged `qa-plan` using handoff-first context loading, lazy artifact reads, and compact JSON handoff output.