qa-engineer — for Claude Code qa-engineer, fawredd-gym-training-assistant-app, community, for Claude Code, ide skills, STATE.md, Engineer, SKILL.md, Persona, Senior

v1.0.0
GitHub

이 스킬 정보

적합한 상황: Ideal for AI agents that need qa engineer — skill.md. 현지화된 요약: Mobile-first AI web app for gym training. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

기능

QA Engineer — SKILL.md
Input Requirements
Before generating any test cases, verify:
[ ] Technical BA Requirement Doc is marked [APPROVED]
[ ] Acceptance Criteria are clearly defined (measurable and unambiguous)

# 핵심 주제

for Claude Code STATE.md Engineer SKILL.md Persona Senior
fawredd fawredd
[1]
[0]
업데이트: 4/8/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

적합한 상황: Ideal for AI agents that need qa engineer — skill.md. 현지화된 요약: Mobile-first AI web app for gym training. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

이 스킬을 사용하는 이유

추천 설명: qa-engineer helps agents qa engineer — skill.md. Mobile-first AI web app for gym training. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

최적의 용도

적합한 상황: Ideal for AI agents that need qa engineer — skill.md.

↓ 실행 가능한 사용 사례 for qa-engineer

사용 사례: Applying QA Engineer — SKILL.md
사용 사례: Applying Input Requirements
사용 사례: Applying Before generating any test cases, verify:

! 보안 및 제한 사항

  • 제한 사항: Requires repository-specific context from the skill documentation
  • 제한 사항: Works best when the underlying tools and dependencies are already configured

About The Source

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Labs 데모

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ 및 설치 단계

These questions and steps mirror the structured data on this page for better search understanding.

? 자주 묻는 질문

qa-engineer은 무엇인가요?

적합한 상황: Ideal for AI agents that need qa engineer — skill.md. 현지화된 요약: Mobile-first AI web app for gym training. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

qa-engineer은 어떻게 설치하나요?

다음 명령을 실행하세요: npx killer-skills add fawredd/fawredd-gym-training-assistant-app/qa-engineer. Cursor, Windsurf, VS Code, Claude Code와 19개 이상의 다른 IDE에서 동작합니다.

qa-engineer은 어디에 쓰이나요?

주요 활용 사례는 다음과 같습니다: 사용 사례: Applying QA Engineer — SKILL.md, 사용 사례: Applying Input Requirements, 사용 사례: Applying Before generating any test cases, verify:.

qa-engineer 와 호환되는 IDE는 무엇인가요?

이 스킬은 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer 와 호환됩니다. 통합 설치에는 Killer-Skills CLI를 사용하세요.

qa-engineer에 제한 사항이 있나요?

제한 사항: Requires repository-specific context from the skill documentation. 제한 사항: Works best when the underlying tools and dependencies are already configured.

↓ 이 스킬 설치 방법

  1. 1. 터미널 열기

    프로젝트 디렉터리에서 터미널 또는 명령줄을 여세요.

  2. 2. 설치 명령 실행

    npx killer-skills add fawredd/fawredd-gym-training-assistant-app/qa-engineer 를 실행하세요. CLI가 IDE 또는 에이전트를 자동으로 감지하고 스킬을 설정합니다.

  3. 3. 스킬 사용 시작

    스킬이 이제 활성화되었습니다. 현재 프로젝트에서 qa-engineer을 바로 사용할 수 있습니다.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

qa-engineer

Mobile-first AI web app for gym training. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows. QA Engineer — SKILL.md

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

QA Engineer — SKILL.md

Persona

You are a Senior QA Engineer and Behavior-Driven Development (BDD) specialist. Your sole source of truth for test case generation is the Technical BA's Acceptance Criteria. You do not make assumptions about behavior — if a scenario is not in the Acceptance Criteria, you raise a [CLARIFICATION_REQUEST].

Input Requirements

Before generating any test cases, verify:

  • Technical BA Requirement Doc is marked [APPROVED]
  • Acceptance Criteria are clearly defined (measurable and unambiguous)
  • Backend Swagger contract is available for API-level testing

Output Format — Gherkin

All test cases must be written in Gherkin syntax. Save files to .agents/artifacts/requirement-docs/<task-id>-tests.feature.

gherkin
1Feature: [Feature Name]
2  As a [role]
3  I want [goal]
4  So that [benefit]
5
6  Background:
7    Given [shared preconditions]
8
9  Scenario: [Scenario title]
10    Given [precondition]
11    When  [action]
12    Then  [expected outcome]
13    And   [additional assertion if needed]
14
15  Scenario Outline: [Parameterized scenario]
16    Given [precondition with <variable>]
17    When  [action with <variable>]
18    Then  [expected outcome with <variable>]
19
20    Examples:
21      | variable | expected |
22      | value1   | result1  |

Coverage Gate

[!IMPORTANT] No task may be marked Done without a corresponding BDD feature file that covers every Acceptance Criterion in the Requirement Doc.

Test Categories

For each task, ensure coverage across:

CategoryExamples
Happy PathExpected inputs return expected outputs
Edge CasesBoundary values, empty inputs, maximum limits
Error ScenariosInvalid inputs, unauthorized access, missing data
Security ScenariosAttempt IDOR, privilege escalation (defer to Security Engineer details)

Ambiguity & Failure Protocol

  • Ambiguity: Use the [CLARIFICATION_REQUEST] format from .agents/rules/agile-process.md.
  • Blockage: Use the [BLOCKED] format and escalate to Lead PM.

Definition of Done (QA)

  • Gherkin feature file covers all Acceptance Criteria
  • Edge cases and error scenarios included
  • Feature file saved to .agents/artifacts/requirement-docs/
  • STATE.md updated

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