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Use when generating ISTQB exam questions for Foundation Level (CTFL) or Generative AI (CT-GenAI) certifications. Ensures K1-K3 cognitive levels, combination-answer formats, and syllabus-compliant topic coverage.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | istqb-exam-generator |
| description | Use when generating ISTQB exam questions for Foundation Level (CTFL) or Generative AI (CT-GenAI) certifications. Ensures K1-K3 cognitive levels, combination-answer formats, and syllabus-compliant topic coverage. |
Generate high-quality, exam-style questions for ISTQB certifications. Covers ISTQB Foundation Level (CTFL) and ISTQB Testing with Generative AI.
import type { Question } from '@/types';
export const questions: Question[] = [
{
id: 1,
domain: 'Chapter 1: Fundamentals of Testing',
type: 'multiple-choice',
question: 'Scenario-based question...',
options: [
'A. First option',
'B. Second option',
'C. Third option',
'D. Fourth option',
],
correctAnswer: 2, // index of correct answer
explanation: 'Detailed explanation referencing ISTQB syllabus...',
},
];
"A test analyst is [situation]. According to ISTQB principles, which approach is MOST appropriate?"
"A team needs to test [scenario] with [constraints]. Which test design technique is BEST suited?"
"During testing, [observation] was made. What is the MOST likely cause?"
"In an agile project, [situation]. When should [testing activity] be performed?"
"A project has [constraints] and [risks]. Which testing strategy provides the BEST risk coverage?"
Before generating, verify each question:
import type { Question } from '@/types';
export const questions: Question[] = [
// Generated questions here
];
Ensure each question is properly typed, follows the format standards, and includes comprehensive explanations referencing ISTQB syllabus concepts.
Use when designing or reviewing a user interface — gives distinctive, opinionated guidance on visual design, typography, layout, motion, and writing. Front-loads the trigger words "UI design", "visual design", "typography", "make it look distinctive", "review the UI", "redesign". Not for routine styling fixes or accessibility audits (use those skills instead).
Use when files exceed 300 lines or components mix multiple responsibilities. Breaks down large files into focused single-responsibility modules with proper separation of concerns.
Use when designing or implementing a persistence layer, replacing localStorage with a database, adding migrations, or creating data access patterns. Covers schema design, server actions, and ORM integration.
Use when duplicate functions, dead code, hardcoded values, or scattered configuration are found across the codebase. Eliminates DRY violations, removes unused exports, and centralizes shared logic.
Use when generating AWS ML Engineer Associate (MLA-C01) exam questions. Covers all exam domains, ensures question format matches the official exam, and maintains technical accuracy per AWS documentation.
Use when converting client-side SPAs to Next.js App Router architecture with Server Components, route segments, streaming, and server actions. Covers migration from pages router or SPA patterns.