Validate end-to-end recruiter and candidate journeys in the Skillvee simulator.
npx skills add https://github.com/skillvee/simulator --skill qa-skillvee
Please help me install this Agent Skill. Skill: qa Source: https://github.com/skillvee/simulator/tree/main/.claude/skills/qa Command: npx skills add https://github.com/skillvee/simulator --skill qa-skillvee
Ensures the entire recruiter and candidate experience in the Skillvee simulator is validated, catching quality issues before users encounter them.
Start the QA harness against a local dev server with the required environment variables set.
High-intent search queries and answers about installing and using this skill.
End-to-end testing for Next.js API routes is automated by executing regression-like scenarios across user journeys, applying pre-flight checks and environment validation to maintain consistent results.
Regression-like scenario execution in QA simulation runs sequential test cases across signup, onboarding, and reporting flows to identify quality gaps and validate consistent product behavior.
Gemini prompts can be used to simulate realistic user interactions during testing by generating AI-assisted workflows that identify gaps in conversation and PR defense flows.
Seeding test data with Prisma for end-to-end product QA involves populating the database with required mock records to validate recruiter and candidate journeys before execution.
Automated QA testing works with local dev servers by starting the QA harness against the local environment with required environment variables set for validation.
Limitations of AI-assisted test prompts in regression testing include potential gaps in simulated realism, requiring pre-flight checks and environment validation to ensure accurate end-to-end coverage.
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