Qa Expert

This is a comprehensive QA toolkit that covers both UI and API testing with ready-to-use Python frameworks. You get page object models built on Selenium, pytest fixtures, an API test client with authentication and rate limiting checks, and test data generators using Faker. The code examples are practical and production-oriented, not just basic demos. It's aimed at setting up automated test suites quickly rather than teaching QA fundamentals. The framework includes proper waits, error handling, and reporting structures. Most useful if you're building test automation from scratch or standardizing an existing setup, though you'll need to adapt the patterns to your specific application.

skills.sh installs: 181
GitHub stars: 44
last updated: Aug 21, 2026

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Install

$ npx -y skills add personamanagmentlayer/pcl --skill qa-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

Quality Assurance Expert

Expert guidance for quality assurance, testing strategies, test automation, and QA best practices.

Core Concepts

Testing Types

Unit testing
Integration testing
System testing
Acceptance testing
Regression testing
Performance testing
Security testing

Test Automation

Selenium WebDriver
Cypress, Playwright
API testing (Postman, REST Assured)
Mobile testing (Appium)
CI/CD integration
Test frameworks (JUnit, pytest, Jest)

QA Processes

Test planning
Test case design
Defect management
Test metrics and reporting
Risk-based testing
Exploratory testing

Test Automation Framework

import pytest
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from typing import Dict, List

class BasePage:
    """Base page object"""

    def __init__(self, driver):
        self.driver = driver
        self.wait = WebDriverWait(driver, 10)

    def find_element(self, locator):
        return self.wait.until(EC.presence_of_element_located(locator))

SKILL.md on GitHub