What does the Skills Qa Automation Engineer AI skill do?

Skill hỗ trợ agent thực hiện các tác vụ QA automation testing bao gồm generate test cases, automation scripts, API tests, locators, phân tích flaky tests, và tạo test data.

Why use Skills Qa Automation Engineer on TypingMind?

Because you install it once and use it with any model. Skills Qa Automation Engineer 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 Skills Qa Automation Engineer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anhtester/claude-testing-kit/tree/main/.claude/skills/skills-qa-automation-engineer. 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 Skills Qa Automation Engineer?

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 Skills Qa Automation Engineer?

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

Is the Skills Qa Automation Engineer AI skill free?

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

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.

Skills Qa Automation Engineer by anhtester — AI Skill for Any LLM

QA Automation Engineer

Description

This skill enables the agent to assist with software testing and automation tasks.

The agent can:

Generate manual test cases from requirements
Generate test automation scripts from test cases or UI flows
Generate API tests from Swagger/OpenAPI specifications
Explore applications and discover test scenarios
Generate automation frameworks
Generate test data
Analyze flaky tests
Generate stable locators
Generate requirements from website analysis

This skill is designed for modern QA workflows and automation development.

When to Use

Use this skill when the user asks about:

Test automation
Manual testing
Automation frameworks
API testing
UI testing
Test data generation
Flaky test debugging
Locator generation
Requirements analysis from website
Jira integration (fetch requirements, push test results)
Xray test management

Typical prompts include:

Generate test cases from requirement
Generate Selenium automation from test case
Generate automation from UI steps
Generate API tests from Swagger
Generate regression suite → (redirect sang generate_application_test_plan hoặc generate_manual_testcases_rbt)
Generate test data
Analyze flaky test
Generate locator for element
Generate requirements from website

Workflow Routing

When the user request matches a specific task, select the appropriate workflow file from .claude/commands/.

Generate test cases from requirements

Delegate: Tác vụ này thuộc skill skills-rbt-manual-testing — không phải skills-qa-automation-engineer.

Use workflow: generate_testcases_from_requirements (QUICK mode) hoặc generate_manual_testcases_rbt (FULL RBT mode).

Triggers when user asks:

generate test cases → delegate to skills-rbt-manual-testing (QUICK mode)
write manual test cases → delegate to skills-rbt-manual-testing (QUICK mode)
test scenarios from requirement → delegate to skills-rbt-manual-testing (QUICK mode)
sinh test cases đầy đủ / quy trình 6 bước → delegate to skills-rbt-manual-testing (FULL RBT mode)

Generate automation from manual test case

Use workflow: generate_automation_from_testcases

Triggers when user asks:

convert test case to automation
generate Selenium automation
generate Playwright automation from test case

Generate automation from UI steps

Use workflow: generate_automation_from_ui_flow

Triggers when user asks:

automate this UI flow
generate automation from steps
run UI steps and generate Selenium script

Generate API tests

Use workflow: generate_api_tests_from_swagger

Triggers when user provides:

Swagger URL
OpenAPI specification

Generate test data

Use workflow: generate_test_data

Triggers when user asks:

generate test data
generate boundary test data

Analyze cross-module feature & generate combinatorial matrix

Use workflow: generate_cross_module_test_plan

Workflow dành cho tính năng phức tạp đi qua nhiều modules nối tiếp. Sinh Data Flow Map + Ma trận kết hợp đa chiều (Output-Class Coverage mặc định / Pairwise / Full Cartesian).

⚠️ Rule bất biến: mỗi Expected Output class phải xuất hiện ≥1 lần trong ma trận. Pairwise phủ cặp, KHÔNG đảm bảo phủ output class.

Triggers when user asks:

phân tích tính năng cross-module
test nhiều module liên kết
sinh ma trận kết hợp / combinatorial matrix
test tính năng có nhiều điều kiện kết hợp
analyze multi-module feature
pairwise testing
decision table đa chiều / nhiều chiều

Generate combinatorial test data (multi-module pipeline)

Use workflow: generate_combinatorial_test_data

Sinh test data cho ma trận kết hợp. Hỗ trợ 2 modes: GENERATE (sinh offline) và PIPELINE (chạy thật trên browser qua N modules).

Triggers when user asks:

sinh data cho ma trận kết hợp
tạo test data cho combinatorial matrix
chạy pipeline tạo data qua nhiều module
generate combinatorial test data
setup data cho cross-module test

Generate regression suite

Không có workflow riêng. Dùng generate_application_test_plan (Mode PLAN) hoặc generate_manual_testcases_rbt (FULL RBT) tùy theo input.

Triggers when user asks:

create regression test suite
generate regression scenarios

Generate automation framework

Delegate: Tác vụ này sử dụng skill skills-framework-architect để thiết kế framework.

Use workflow: generate_automation_framework

Triggers when user asks:

create automation framework
design Selenium framework
design Playwright framework
design Appium framework
scaffold automation project
thiết kế framework mới

Explore application and generate test plan

Use workflow: generate_application_test_plan

Workflow này có 2 modes: PLAN (mặc định — chỉ test plan) và FULL (test plan + automation skeleton). Khi user yêu cầu "full automation suite" hoặc "bootstrap automation" → tự động chọn Mode FULL.

Triggers when user asks:

explore application
discover test scenarios
generate test plan
generate full automation suite
bootstrap automation for project

Analyze flaky tests

Use workflow: analyze_flaky_tests

Triggers when user asks:

why is this test flaky
analyze unstable automation

Generate stable locators

Use workflow: generate_locator

Triggers when user asks:

generate locator for this element
find stable selector
create automation locator

Generate requirements from website

Use workflow: generate_requirements_from_website

Triggers when user asks:

generate requirements from website
analyze website module and create requirements
extract user stories from web page

Analyze requirement document

Delegate: Tác vụ này sử dụng skill skills-requirements-analyzer để phân tích requirement documents.

Use workflow: analyze_requirement_document

Workflow chỉ phân tích requirement — KHÔNG sinh test cases. Output là tài liệu phân tích chi tiết gồm: AC breakdown, dependencies, ambiguities, risks.

Triggers when user asks:

phân tích requirement document
review yêu cầu / analyze this ticket
phân tích Jira ticket / requirement
tìm điểm mơ hồ trong requirement
analyze requirement / review requirement document

Fetch requirements from Jira

Use workflow: fetch_jira_requirements

Triggers when user asks:

fetch jira requirements
lấy requirement từ jira
get jira ticket
import user stories from jira

Import test results to Xray

Use workflow: import_test_results_xray

Triggers when user asks:

push test results to xray
đẩy kết quả test lên xray
import test execution to jira
upload playwright results to xray

Automation Framework

Default stack theo platform — dùng khi user không chỉ định. Bảng này là nguồn duy nhất; workflow generate_automation_framework (Bước 1) tuân theo đúng bảng này.

Platform	Framework mặc định	Ngôn ngữ	Runner	Report
🌐 Web	Playwright	TypeScript	Playwright Test	HTML Report + Allure
📱 Mobile	Appium	Java	TestNG	Allure
🔌 API	REST Assured	Java	TestNG	Allure

Design pattern: Page Object Model (POM) — mobile dùng Screen Object
Stack thay thế (khi user yêu cầu): Selenium WebDriver + Java + TestNG cho Web, Playwright + Java/Python
Danh sách đầy đủ 8 stacks được hỗ trợ: xem skills-framework-architect > Supported Stacks

⚠️ KHÔNG tự chọn stack khi user đã nêu ràng buộc (team dùng Java, CI chỉ có Maven…). Hỏi xác nhận trước khi scaffold.

Locator Strategy

Selenium Locator Priority

id
data-testid
name
css selector
xpath (last resort)

Avoid fragile locators such as auto-generated class names or positional xpaths.

Playwright Locator Priority

getByRole()
getByLabel()
getByPlaceholder()
getByText()
getByTestId()
css selector
xpath (last resort)

Avoid fragile selectors such as dynamic class names.

Note: For detailed locator rules, refer to .claude/rules/locator_strategy.md.

Rules References

The agent MUST also follow the detailed rules defined in .claude/rules/:

.claude/rules/automation_rules.md — General automation best practices
.claude/rules/reporting_rules.md — Allure report: metadata, step, screenshot, cấm stdout
.claude/rules/locator_strategy.md — Detailed locator selection rules
.claude/rules/playwright_rules.md — Playwright-specific rules
.claude/rules/selenium_rules.md — Selenium-specific rules
.claude/rules/appium_rules.md — Appium mobile automation rules

References

Ngữ cảnh dự án — agent TỰ KHÁM PHÁ, không có file template điền tay

Skill này không kèm file hồ sơ dự án để user điền sẵn. Agent tự thu thập và tự ghi lại:

Cần biết	Lấy ở đâu	Ghi vào đâu
Hệ thống làm gì, module nào, luồng nào	Recon UI thực tế qua Playwright MCP	`docs/requirements/<module>/requirements_<module>.md`
Prefix module, mã REQ/TC kế tiếp	Đọc danh mục hiện có	`docs/requirements/README.md` · `docs/testcases/README.md`
Business rules ẩn, known issues (CAPTCHA, OTP…)	Gặp khi recon / chạy test → ghi lại ngay	Mục "Ghi chú" của tài liệu module + Nhật ký thay đổi
URL, tài khoản test	User cung cấp lúc chat	`.env` (git-ignored) — KHÔNG ghi vào tài liệu
Môi trường dùng chung hay không	Hỏi user một lần nếu chưa biết	Bộ nhớ phiên của Claude Code

Nguyên tắc:

Thiếu thông tin suy ra được từ UI → đi recon, KHÔNG hỏi user
Thiếu thông tin không thể suy ra (credentials, môi trường dùng chung, ràng buộc nội bộ) → hỏi user một lần, rồi ghi lại để phiên sau khỏi hỏi lại
KHÔNG bịa prefix, URL, hay business rule

Template điền tay (tùy chọn — dùng khi muốn chốt ngữ cảnh dự án bằng file thay vì để agent tự khám phá):

references/PROJECT_CONTEXT.md — Domain, tech stack, key modules
references/TEST_STRATEGY.md — Mục tiêu, phạm vi, kế hoạch thực thi
references/PROMPT_TEMPLATES.md — Prompt tái sử dụng cho tác vụ QA phổ biến

External references:

skills-framework-architect/SKILL.md — Project structure & framework components theo từng stack
.claude/rules/reporting_rules.md — Quy tắc report bắt buộc
plans/automation/project_architecture/README.md — Repository structure & project architecture
CLAUDE.md > "Cleanup & Delivery" — Quality checklist / Definition of Done

Output

Depending on the request, the agent may return:

Manual test cases (structured format)
Automation scripts (Java/TypeScript)
API tests (REST Assured)
Locator recommendations
Test data (structured, randomized, traceable)
Automation framework design
Requirements documents

Automation outputs should include:

Page Object classes
Test classes
Assertions validating expected behavior
Clean, readable, maintainable code (no debug logs, no commented code)

Publisher	anhtester
Repository	`claude-testing-kit`
Skill name	`skills-qa-automation-engineer`
Stars	61
Forks	31
Bundled files	3
License	MIT
Links	Skill source Repository Homepage

Skills Qa Automation Engineer

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

QA Automation Engineer

Description

When to Use

Workflow Routing

Generate test cases from requirements

Generate automation from manual test case

Generate automation from UI steps

Generate API tests

Generate test data

Analyze cross-module feature & generate combinatorial matrix

Generate combinatorial test data (multi-module pipeline)

Generate regression suite

Generate automation framework

Explore application and generate test plan

Analyze flaky tests

Generate stable locators

Generate requirements from website

Analyze requirement document

Fetch requirements from Jira

Import test results to Xray

Automation Framework

Locator Strategy

Selenium Locator Priority

Playwright Locator Priority

Rules References

References

Ngữ cảnh dự án — agent TỰ KHÁM PHÁ, không có file template điền tay

Output

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

QA Automation Engineer

Description

When to Use

Workflow Routing

Generate test cases from requirements

Generate automation from manual test case

Generate automation from UI steps

Generate API tests

Generate test data

Analyze cross-module feature & generate combinatorial matrix

Generate combinatorial test data (multi-module pipeline)

Generate regression suite

Generate automation framework

Explore application and generate test plan

Analyze flaky tests

Generate stable locators

Generate requirements from website

Analyze requirement document

Fetch requirements from Jira

Import test results to Xray

Automation Framework

Locator Strategy

Selenium Locator Priority

Playwright Locator Priority

Rules References

References

Ngữ cảnh dự án — agent TỰ KHÁM PHÁ, không có file template điền tay

Output

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now