qa-agent

Define test scope and generate implementation-ready tests for Neurovn.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/RajanChavada/Neurovn --skill qa-agent-rajanchavada
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qa-agent
Source: https://github.com/RajanChavada/Neurovn/tree/main/.cursor/skills/qa-agent
Command: npx skills add https://github.com/RajanChavada/Neurovn --skill qa-agent-rajanchavada

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Context-aware QA agent that researches testing best practices via Exa.ai MCP server and then designs and implements tests tailored to Neurovn's actual stack, file structure, and conventions.

Core Features & Use Cases

  • Researches current testing best practices via Exa.ai MCP server and translates them into Neurovn-specific test plans.
  • Designs implementation-ready tests, fixtures, and mocks for Vitest, pytest, Playwright, React Testing Library, and FastAPI.
  • Produces end-to-end testing strategies that align with project conventions across frontend and backend.

Quick Start

Describe your testing needs and let the agent generate and run a full test plan for Neurovn.

Frequently Asked Questions about qa-agent

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

FAQPage Schema
How do I generate implementation-ready test artifacts for Vitest and Playwright?▼

To generate implementation-ready test artifacts for Vitest and Playwright, you analyze the stack context and project conventions to define a precise test scope, then produce aligned tests, fixtures, and mocks.

What's the best way to plan frontend and backend testing strategies for a full-stack project?▼

The best way to plan full-stack testing strategies is to identify testing goals, target modules, and required assertions, then design end-to-end testing strategies that align with project conventions across frontend and backend.

Can I create pytest and FastAPI test fixtures automatically based on project conventions?▼

Yes, you can create pytest and FastAPI test fixtures automatically by analyzing the stack context and project conventions to define a precise test scope and strategy, producing implementation-ready mocks and fixtures.

Does this QA planning approach work with React Testing Library and Vitest together?▼

Yes, this QA planning approach works with React Testing Library and Vitest together by translating researched testing best practices into project-specific test plans and implementation-ready tests for the frontend stack.

How do I define a precise test scope and strategy for a custom software stack?▼

You define a precise test scope and strategy for a custom software stack by identifying the testing goals, target modules, and required assertions, then analyzing the stack context and project conventions.

Why do I need context-aware QA planning for generating end-to-end tests?▼

Context-aware QA planning is needed for generating end-to-end tests because it researches current testing best practices and translates them into test plans tailored to the actual stack, file structure, and conventions.