원클릭으로
requirements-analysis
Extract, validate, and document requirements from raw input
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Extract, validate, and document requirements from raw input
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 | requirements-analysis |
| description | Extract, validate, and document requirements from raw input |
| difficulty | senior |
| domains | ["general"] |
Requirements analysis converts stakeholder requests into verified, unambiguous, testable requirements. It identifies conflicts, gaps, and hidden constraints before they become expensive bugs.
Gather: tickets, meeting notes, existing docs, similar systems, regulatory requirements, user research. Document each source.
Sort into:
Flag any requirement that uses: "fast," "easy," "simple," "scalable," "secure," or any other unmeasured adjective. Replace with measurable criteria.
List pairs of requirements that could contradict each other. Example: "must respond in under 100ms" vs "must encrypt all data at rest and in transit." Resolve or prioritize explicitly.
Ask: What happens when X fails? What are the edge cases for Y? What permissions are required? What should happen with invalid input?
Walk through the requirements list with at least one stakeholder. Every ambiguity you resolve costs nothing here; every ambiguity you miss costs exponentially more later.
Label each requirement: Must Have / Should Have / Nice to Have (MoSCoW). Scope the first version to Must Haves only.
Link each requirement to its source. This allows you to answer "why does this requirement exist?" at any point.
"We can figure out edge cases as we go" Edge cases figured out during implementation become design debt. Edge cases figured out during requirements analysis become requirements.
"The stakeholder said it clearly" Verbal clarity is not written clarity. What they said and what they meant often diverge when you write it down and ask them to confirm.
Build UIs that work for all users including keyboard navigation, screen readers, and WCAG 2.2
Design multi-agent systems with robust tool interfaces, state management, and failure handling
Build ML systems with disciplined training, evaluation, deployment, and safety practices
Design APIs that are stable, ergonomic, and evolvable
Design systems at the right scale with explicit trade-off documentation
Design services that are reliable, observable, secure, and maintainable