Populate QC skeleton JSON test cases and validate DR/CI/Route coverage.
npx skills add https://github.com/rachel353/fullty-plan --skill fill-testcases
Please help me install this Agent Skill. Skill: fill-testcases Source: https://github.com/rachel353/fullty-plan/tree/main/.claude/skills/fill-testcases Command: npx skills add https://github.com/rachel353/fullty-plan --skill fill-testcases
This skill automates populating test cases into a QC skeleton JSON and verifies coverage completeness, removing manual, repetitive TC creation and ensuring alignment with domain rules and data flows.
Run the fill-testcases workflow against your existing skeleton JSON to auto-fill all AC test cases and verify DR/CI/Route coverage.
High-intent search queries and answers about installing and using this skill.
The fill workflow automates populating test cases into a QC skeleton JSON by enforcing TC ID formats, adding DR-xxx tags, and validating minimum TC sets per acceptance criteria.
Validating test case coverage completeness involves tracing TC patterns against domain rules and data flows to verify DR, CI, and Route coverage, reporting any gaps before CI integration.
The minimum test case set per acceptance criteria includes positive, negative, and edge or UX cases as needed, ensuring comprehensive coverage and alignment with domain rules.
Yes, you need an existing skeleton JSON generated from a create-testcase process, which is then enriched with TC patterns and DR-xxx domain rule tags to output updated testCases and coverage data.
When test case ID formats are invalid in QC automation, the fill workflow enforces strict TC ID formatting rules during the auto-fill process to ensure consistency and traceability.
rachel353Generate a skeleton JSON of User Stories and Acceptance Criteria with coverage indices from docs.
cskiroAutomate Playwright end-to-end test setup, generation, and regression detection.
AcidicSoilPlan risk-informed test designs with acceptance criteria mapping and CI/CD integration.
SensLiaoConvert functional requirements JSON into Gherkin scenarios and prose acceptance criteria.
