qa

Name: qa
Availability: InStock
Author: skillvee

Validate end-to-end recruiter and candidate journeys in the Skillvee simulator.

Updated Aug 27, 2026

Search Tags:#automation #testing #qa #simulation #regression #end-to-end #gemini

Ready to run

npx skills add https://github.com/skillvee/simulator --skill qa-skillvee

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ensures the entire recruiter and candidate experience in the Skillvee simulator is validated, catching quality issues before users encounter them.

Core Features & Use Cases

End-to-end test planning and execution across sign-up, simulation creation, onboarding, conversations, PR defense, scoring, and reporting.
Regression-like coverage with data seeding, pre-flight checks, and environment validation to maintain consistent test results.
AI-assisted test prompts and workflows that simulate realistic user interactions and identify gaps in flows.

Quick Start

Start the QA harness against a local dev server with the required environment variables set.

Frequently Asked Questions about qa

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate end-to-end testing for Next.js API routes?▼

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.

What is regression-like scenario execution in QA simulation?▼

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.

Can I use Gemini prompts to simulate realistic user interactions for testing?▼

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.

How do I seed test data with Prisma for end-to-end product QA?▼

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.

Does automated QA testing work with local dev servers?▼

Automated QA testing works with local dev servers by starting the QA harness against the local environment with required environment variables set for validation.

What are the limitations of AI-assisted test prompts in regression testing?▼

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.