specify
Interactive feature specification discovery through Socratic dialogue and systematic exploration.
/specify - Interactive Feature Specification Discovery
Given that feature description, do this:
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Generate a concise short name (2-4 words) for the SPEC_FILE:
- Analyze the feature description and extract the most meaningful keywords
- Create a 2-4 word short name that captures the essence of the feature
- Use action-noun format when possible (e.g., "add-user-auth", "fix-payment-bug")
- Preserve technical terms and acronyms (OAuth2, API, JWT, etc.)
- Keep it concise but descriptive enough to understand the feature at a glance
- Examples:
- "I want to add user authentication" → "user-auth"
- "Implement OAuth2 integration for the API" → "oauth2-api-integration"
- "Create a dashboard for analytics" → "analytics-dashboard"
- "Fix payment processing timeout bug" → "fix-payment-timeout"
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Load
reference/spec-template.mdto understand required sections. -
Follow this execution flow:
- Parse user description from Input If empty: ERROR "No feature description provided"
- Extract key concepts from description Identify: actors, actions, data, constraints
- For unclear aspects:
- Make informed guesses based on context and industry standards
- Only mark with [NEEDS CLARIFICATION: specific question] if:
- The choice significantly impacts feature scope or user experience
- Multiple reasonable interpretations exist with different implications
- No reasonable default exists
- Prioritize clarifications by impact: scope > security/privacy > user experience > technical details
- Fill User Scenarios & Testing section If no clear user flow: ERROR "Cannot determine user scenarios"
- Generate Functional Requirements Each requirement must be testable Use reasonable defaults for unspecified details (document assumptions in Assumptions section)
- Define Success Criteria Create measurable, technology-agnostic outcomes Include both quantitative metrics (time, performance, volume) and qualitative measures (user satisfaction, task completion) Each criterion must be verifiable without implementation details
- Identify Key Entities (if data involved)
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Write the specification to SPEC_FILE using the template structure, replacing placeholders with concrete details derived from the feature description (arguments) while preserving section order and headings.
Quick Guidelines
- Focus on WHAT users need and WHY.
- Avoid HOW to implement (no tech stack, APIs, code structure).
- Written for business stakeholders, not developers.
- DO NOT create any checklists that are embedded in the spec. That will be a separate command.
Section Requirements
- Mandatory sections: Must be completed for every feature
- Optional sections: Include only when relevant to the feature
- When a section doesn't apply, remove it entirely (don't leave as "N/A")
For AI Generation
When creating this spec from a user prompt:
- Make informed guesses: Use context, industry standards, and common patterns to fill gaps
- Document assumptions: Record reasonable defaults in the Assumptions section
- Prioritize clarifications: scope > security/privacy > user experience > technical details
- Think like a tester: Every vague requirement should fail the "testable and unambiguous" checklist item
- Common areas needing clarification (only if no reasonable default exists):
- Feature scope and boundaries (include/exclude specific use cases)
- User types and permissions (if multiple conflicting interpretations possible)
- Security/compliance requirements (when legally/financially significant)
Examples of reasonable defaults (don't ask about these):
- Data retention: Industry-standard practices for the domain
- Performance targets: Standard web/mobile app expectations unless specified
- Error handling: User-friendly messages with appropriate fallbacks
- Authentication method: Standard session-based or OAuth2 for web apps
- Integration patterns: RESTful APIs unless specified otherwise
Success Criteria Guidelines
Success criteria must be:
- Measurable: Include specific metrics (time, percentage, count, rate)
- Technology-agnostic: No mention of frameworks, languages, databases, or tools
- User-focused: Describe outcomes from user/business perspective, not system internals
- Verifiable: Can be tested/validated without knowing implementation details
Good examples:
- "Users can complete checkout in under 3 minutes"
- "System supports 10,000 concurrent users"
- "95% of searches return results in under 1 second"
- "Task completion rate improves by 40%"
Bad examples (implementation-focused):
- "API response time is under 200ms" (too technical, use "Users see results instantly")
- "Database can handle 1000 TPS" (implementation detail, use user-facing metric)
- "React components render efficiently" (framework-specific)
- "Redis cache hit rate above 80%" (technology-specific)
Next Step: After initial specification complete, interview user with all NEEDS CLARIFICATION questions.