Senior Qa by yezannnnn — AI Skill for Any LLM

Overview

Publisher	yezannnnn
Repository	`agentGroup`
Skill name	`senior-qa`
Stars	149
Forks	49
Bundled files	6
License	MIT
Links	Skill source Repository

Markdown instructions

A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

Works with any LLM

AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

6 bundled files

Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

Open source

Published by yezannnnn on GitHub. Read the source before you install it.

Installation

Install the Senior Qa AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/yezannnnn/agentGroup/tree/master/jarvis/skills/engineering-team/senior-qa

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/yezannnnn/agentGroup.git /tmp/agentGroup
mkdir -p .claude/skills
cp -r /tmp/agentGroup/jarvis/skills/engineering-team/senior-qa .claude/skills/senior-qa

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Senior Qa in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Senior Qa on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Senior Qa is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed

The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

Switch models mid-chat

Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Senior QA Engineer

Test automation, coverage analysis, and quality assurance patterns for React and Next.js applications.

Quick Start
Tools Overview
QA Workflows
Reference Documentation
Common Patterns Quick Reference

Quick Start

bash
# Generate Jest test stubs for React components
python scripts/test_suite_generator.py src/components/ --output __tests__/

# Analyze test coverage from Jest/Istanbul reports
python scripts/coverage_analyzer.py coverage/coverage-final.json --threshold 80

# Scaffold Playwright E2E tests for Next.js routes
python scripts/e2e_test_scaffolder.py src/app/ --output e2e/

Tools Overview

1. Test Suite Generator

Scans React/TypeScript components and generates Jest + React Testing Library test stubs with proper structure.

Input: Source directory containing React components Output: Test files with describe blocks, render tests, interaction tests

Usage:

bash
# Basic usage - scan components and generate tests
python scripts/test_suite_generator.py src/components/ --output __tests__/

# Output:
# Scanning: src/components/
# Found 24 React components
#
# Generated tests:
#   __tests__/Button.test.tsx (render, click handler, disabled state)
#   __tests__/Modal.test.tsx (render, open/close, keyboard events)
#   __tests__/Form.test.tsx (render, validation, submission)
#   ...
#
# Summary: 24 test files, 87 test cases

# Include accessibility tests
python scripts/test_suite_generator.py src/ --output __tests__/ --include-a11y

# Generate with custom template
python scripts/test_suite_generator.py src/ --template custom-template.tsx

Supported Patterns:

Functional components with hooks
Components with Context providers
Components with data fetching
Form components with validation

2. Coverage Analyzer

Parses Jest/Istanbul coverage reports and identifies gaps, uncovered branches, and provides actionable recommendations.

Input: Coverage report (JSON or LCOV format) Output: Coverage analysis with recommendations

Usage:

bash
# Analyze coverage report
python scripts/coverage_analyzer.py coverage/coverage-final.json

# Output:
# === Coverage Analysis Report ===
# Overall: 72.4% (target: 80%)
#
# BY TYPE:
#   Statements: 74.2%
#   Branches: 68.1%
#   Functions: 71.8%
#   Lines: 73.5%
#
# CRITICAL GAPS (uncovered business logic):
#   src/services/payment.ts:45-67 - Payment processing
#   src/hooks/useAuth.ts:23-41 - Authentication flow
#
# RECOMMENDATIONS:
#   1. Add tests for payment service error handling
#   2. Cover authentication edge cases
#   3. Test form validation branches
#
# Files below threshold (80%):
#   src/components/Checkout.tsx: 45%
#   src/services/api.ts: 62%

# Enforce threshold (exit 1 if below)
python scripts/coverage_analyzer.py coverage/ --threshold 80 --strict

# Generate HTML report
python scripts/coverage_analyzer.py coverage/ --format html --output report.html

3. E2E Test Scaffolder

Scans Next.js pages/app directory and generates Playwright test files with common interactions.

Input: Next.js pages or app directory Output: Playwright test files organized by route

Usage:

bash
# Scaffold E2E tests for Next.js App Router
python scripts/e2e_test_scaffolder.py src/app/ --output e2e/

# Output:
# Scanning: src/app/
# Found 12 routes
#
# Generated E2E tests:
#   e2e/home.spec.ts (navigation, hero section)
#   e2e/auth/login.spec.ts (form submission, validation)
#   e2e/auth/register.spec.ts (registration flow)
#   e2e/dashboard.spec.ts (authenticated routes)
#   e2e/products/[id].spec.ts (dynamic routes)
#   ...
#
# Generated: playwright.config.ts
# Generated: e2e/fixtures/auth.ts

# Include Page Object Model classes
python scripts/e2e_test_scaffolder.py src/app/ --output e2e/ --include-pom

# Generate for specific routes
python scripts/e2e_test_scaffolder.py src/app/ --routes "/login,/dashboard,/checkout"

QA Workflows

Unit Test Generation Workflow

Use when setting up tests for new or existing React components.

Step 1: Scan project for untested components

bash
python scripts/test_suite_generator.py src/components/ --scan-only

Step 2: Generate test stubs

bash
python scripts/test_suite_generator.py src/components/ --output __tests__/

Step 3: Review and customize generated tests

typescript
// __tests__/Button.test.tsx (generated)
import { render, screen, fireEvent } from '@testing-library/react';
import { Button } from '../src/components/Button';

describe('Button', () => {
  it('renders with label', () => {
    render(<Button>Click me</Button>);
    expect(screen.getByRole('button', { name: /click me/i })).toBeInTheDocument();
  });

  it('calls onClick when clicked', () => {
    const handleClick = jest.fn();
    render(<Button onClick={handleClick}>Click</Button>);
    fireEvent.click(screen.getByRole('button'));
    expect(handleClick).toHaveBeenCalledTimes(1);
  });

  // TODO: Add your specific test cases
});

Step 4: Run tests and check coverage

bash
npm test -- --coverage
python scripts/coverage_analyzer.py coverage/coverage-final.json

Coverage Analysis Workflow

Use when improving test coverage or preparing for release.

Step 1: Generate coverage report

bash
npm test -- --coverage --coverageReporters=json

Step 2: Analyze coverage gaps

bash
python scripts/coverage_analyzer.py coverage/coverage-final.json --threshold 80

Step 3: Identify critical paths

bash
python scripts/coverage_analyzer.py coverage/ --critical-paths

Step 4: Generate missing test stubs

bash
python scripts/test_suite_generator.py src/ --uncovered-only --output __tests__/

Step 5: Verify improvement

bash
npm test -- --coverage
python scripts/coverage_analyzer.py coverage/ --compare previous-coverage.json

E2E Test Setup Workflow

Use when setting up Playwright for a Next.js project.

Step 1: Initialize Playwright (if not installed)

bash
npm init playwright@latest

Step 2: Scaffold E2E tests from routes

bash
python scripts/e2e_test_scaffolder.py src/app/ --output e2e/

Step 3: Configure authentication fixtures

typescript
// e2e/fixtures/auth.ts (generated)
import { test as base } from '@playwright/test';

export const test = base.extend({
  authenticatedPage: async ({ page }, use) => {
    await page.goto('/login');
    await page.fill('[name="email"]', 'test@example.com');
    await page.fill('[name="password"]', 'password');
    await page.click('button[type="submit"]');
    await page.waitForURL('/dashboard');
    await use(page);
  },
});

Step 4: Run E2E tests

bash
npx playwright test
npx playwright show-report

Step 5: Add to CI pipeline

yaml
# .github/workflows/e2e.yml
- name: Run E2E tests
  run: npx playwright test
- name: Upload report
  uses: actions/upload-artifact@v3
  with:
    name: playwright-report
    path: playwright-report/

Reference Documentation

File	Contains	Use When
`references/testing_strategies.md`	Test pyramid, testing types, coverage targets, CI/CD integration	Designing test strategy
`references/test_automation_patterns.md`	Page Object Model, mocking (MSW), fixtures, async patterns	Writing test code
`references/qa_best_practices.md`	Testable code, flaky tests, debugging, quality metrics	Improving test quality

Common Patterns Quick Reference

React Testing Library Queries

typescript
// Preferred (accessible)
screen.getByRole('button', { name: /submit/i })
screen.getByLabelText(/email/i)
screen.getByPlaceholderText(/search/i)

// Fallback
screen.getByTestId('custom-element')

Async Testing

typescript
// Wait for element
await screen.findByText(/loaded/i);

// Wait for removal
await waitForElementToBeRemoved(() => screen.queryByText(/loading/i));

// Wait for condition
await waitFor(() => {
  expect(mockFn).toHaveBeenCalled();
});

Mocking with MSW

typescript
import { rest } from 'msw';
import { setupServer } from 'msw/node';

const server = setupServer(
  rest.get('/api/users', (req, res, ctx) => {
    return res(ctx.json([{ id: 1, name: 'John' }]));
  })
);

beforeAll(() => server.listen());
afterEach(() => server.resetHandlers());
afterAll(() => server.close());

Playwright Locators

typescript
// Preferred
page.getByRole('button', { name: 'Submit' })
page.getByLabel('Email')
page.getByText('Welcome')

// Chaining
page.getByRole('listitem').filter({ hasText: 'Product' })

Coverage Thresholds (jest.config.js)

javascript
module.exports = {
  coverageThreshold: {
    global: {
      branches: 80,
      functions: 80,
      lines: 80,
      statements: 80,
    },
  },
};

Common Commands

bash
# Jest
npm test                           # Run all tests
npm test -- --watch                # Watch mode
npm test -- --coverage             # With coverage
npm test -- Button.test.tsx        # Single file

# Playwright
npx playwright test                # Run all E2E tests
npx playwright test --ui           # UI mode
npx playwright test --debug        # Debug mode
npx playwright codegen             # Generate tests

# Coverage
npm test -- --coverage --coverageReporters=lcov,json
python scripts/coverage_analyzer.py coverage/coverage-final.json

Frequently asked questions

What does the Senior Qa AI skill do?

This skill should be used when the user asks to "generate tests", "write unit tests", "analyze test coverage", "scaffold E2E tests", "set up Playwright", "configure Jest", "implement testing patterns", or "improve test quality". Use for React/Next.js testing with Jest, React Testing Library, and Playwright.

Why use Senior Qa on TypingMind?

Because you install it once and use it with any model. Senior Qa is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Senior Qa in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yezannnnn/agentGroup/tree/master/jarvis/skills/engineering-team/senior-qa. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Senior Qa?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Senior Qa?

As many as you like. As long as a model supports skills, you can use Senior Qa with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Senior Qa AI skill free?

Yes. It is published on GitHub by yezannnnn under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Senior Qa

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Senior QA Engineer

Table of Contents

Quick Start

Tools Overview

1. Test Suite Generator

2. Coverage Analyzer

3. E2E Test Scaffolder

QA Workflows

Unit Test Generation Workflow

Coverage Analysis Workflow

E2E Test Setup Workflow

Reference Documentation

Common Patterns Quick Reference

React Testing Library Queries

Async Testing

Mocking with MSW

Playwright Locators

Coverage Thresholds (jest.config.js)

Common Commands

Bundled files

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Senior QA Engineer

Table of Contents

Quick Start

Tools Overview

1. Test Suite Generator

2. Coverage Analyzer

3. E2E Test Scaffolder

QA Workflows

Unit Test Generation Workflow

Coverage Analysis Workflow

E2E Test Setup Workflow

Reference Documentation

Common Patterns Quick Reference

React Testing Library Queries

Async Testing

Mocking with MSW

Playwright Locators

Coverage Thresholds (jest.config.js)

Common Commands

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now