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speckit-specify
Create or update feature specification from natural language feature description
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Create or update feature specification from natural language feature description
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 | speckit-specify |
| description | Create or update feature specification from natural language feature description |
Create a formal, technology-agnostic specification that describes WHAT users need and WHY it matters, without prescribing HOW to implement it.
brainstorming skill first)spec.md following templateAll execution logic is now contained within this skill. The skill handles:
.specify/templates/spec-template.mdAfter writing the spec, validate against these criteria:
If [NEEDS CLARIFICATION] markers exist (max 3):
Specification is ready when:
specs/N-feature-name/
├── spec.md # Feature specification (WHAT & WHY)
└── checklists/
└── requirements.md # Quality validation checklist
After specification is complete:
speckit-plan to create technical planspeckit-checklist to generate domain-specific quality checks firstWrong: "Use React hooks for state management" Right: "Users can update their profile information"
Wrong: "API response time is under 200ms" Right: "Users see search results instantly"
Wrong: 10 [NEEDS CLARIFICATION] markers Right: Max 3, make informed guesses for the rest
Wrong: "System should be fast and secure" Right: "Users can log in within 2 seconds, all data encrypted at rest and in transit"
Use when starting work on any project (technical or non-technical) to understand structure, standards, and best practices before making changes
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Apply the code-quality checklist to audit files or directories and produce a Markdown report with findings and suggested fixes. Use when asked to "audit these files", "run a quality check", "code quality review", or "check against the code-quality checklist".
Generate a structured deep research prompt. USE WHEN the user needs to research a complex topic, market, or bug deeply. Capabilities include objective clarification, tech stack validation, and prompt generation.
Use for go-to-market strategy, user acquisition, channel analysis, and performance marketing.
Generate documentation for an existing project. USE WHEN onboarded to a new codebase OR documenting legacy code. Capabilities include architectural mapping, tech stack inventory, and technical debt documentation.