Ray Fernando's collection of Skill files for AI coding agents. First up: running-bug-review-board, a real-user QA workflow with a Bug Review Board (BRB) feedback loop.
An open-source Generative AI (GenAI) framework and application designed to generate automated test cases and python Selenium scripts after dynamically analysing the web-page using large language models (LLMs).
WardenIQ is an open-source AI test intelligence platform that turns requirements, docs, and code changes into test cases, test plans, coverage insights, and release test cycles for smarter QA.
A tool for detecting and improving manual testing practices.
Visualization of WCAG 2.2 AA for automated and manual tests.
QA portfolio with manual and automated testing. Includes checklists, test-cases, bug-reports and Selenium+Pytest+Allure tests.
Black-box-first skill suite for manual test design, risk-based prioritization, minimal test case synthesis, and release gate decisions. / ブラックボックス前提で、手動テストの観点出し・リスク優先度付け・最小ケース化・リリースゲート判定まで行う skills
Manual QA simulation of registry validation process for RML systems.
An AI-powered Heart Disease Diagnostic Dashboard built with Streamlit and Scikit-Learn. Features real-time risk prediction, clinical reasoning, and automated patient reporting.
Test + Astronaut 🧑🚀 — AI-powered web testing automation that explores your site like an astronaut explores space
Open-source framework for defining Page Language Models (PLMs) for intelligent app understanding and AI-assisted testing.
Sanbercode Bootcamp Quality Assurance (Batch 36) - Final Project
IT3040 ITPM Assignment 1 - Option 2: Functional and Usability Testing of Pixelssuite website using manual test cases and Playwright automation.
Projekt do kurzu QA testera v Engetu - CLI Task manager
Comprehensive Manual Testing Suite for NopCommerce e-commerce platform following STLC standards.
A practical demo repository showing how QA teams can use VS Code, AI assistants, and reusable tools to turn requirements into structured test scenarios and executable workflows. It demonstrates an AI-assisted testing process where deterministic tools handle execution while the model focuses on analysis, planning, and documentation.
identifying tests smells in manual tests in the ubuntu test suite
SQL and database testing project. Includes database queries, order data validation, and test scenarios for checking data consistency.
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