Create Specification

Software features require detailed specifications translating requirements into technical documents that guide implementation. This skill analyzes feature requests to generate comprehensive specifications including functional requirements, technical constraints, acceptance criteria, data models, API contracts, and implementation considerations providing complete blueprints for development teams.

What Is This?

Overview

Create Specification transforms high-level feature descriptions into structured technical specifications. It identifies functional and non-functional requirements, defines system behavior and edge cases, proposes data models and schemas, documents API endpoints and contracts, outlines user interactions and workflows, specifies performance and security requirements, and formats specifications using standard conventions.

The skill bridges product vision and engineering implementation. It asks clarifying questions, surfaces hidden complexity, and creates detailed documentation developers use to build features correctly without constant clarification requests.

Who Should Use This

Product managers defining features. Technical leads scoping implementations. Software architects designing systems. Business analysts translating requirements. Development teams needing clarity. Engineering managers planning work.

Why Use It?

Problems It Solves

Vague requirements cause implementation mismatches. Specifications force clarity upfront defining exactly what should be built before coding begins.

Missing edge cases surface late as bugs. Systematic specification generation identifies edge cases, error conditions, and boundary scenarios developers must handle.

API design happens ad-hoc leading to inconsistency. Specifications define API contracts upfront ensuring consistent design patterns.

Teams waste time clarifying requirements repeatedly. Complete specifications answer questions proactively reducing interruptions during development.

Core Highlights

Functional and non-functional requirement specification. Data model and schema definition. API contract documentation. User workflow description. Edge case enumeration. Performance and security requirement specification. Acceptance criteria definition.

How to Use It?

Basic Usage

Provide a feature description or requirements document. The skill generates a structured specification with all necessary technical details.

Create specification for user authentication system
with email/password and OAuth support

Generate technical spec for real-time chat feature
including message persistence and typing indicators

Specific Scenarios

For API features, emphasize endpoint contracts.

Specify REST API for order management
with request/response schemas and error codes

For data-heavy features, focus on models.

Create specification for analytics dashboard
including data aggregation and storage requirements

For user-facing features, detail workflows.

Specify checkout flow with cart, shipping,
and payment steps including validation rules

Real World Examples

A product manager requests a notification system supporting email, SMS, and push notifications. Using this skill, a specification is generated identifying functional requirements including notification templates, delivery preferences, and retry logic, defining a data model with notification queue and delivery status tracking, documenting API endpoints for sending notifications and querying status, specifying non-functional requirements for delivery latency and throughput, enumerating edge cases like invalid contact information and service failures, and defining acceptance criteria including successful delivery rates and error handling.

A technical lead designs a new API version requiring backward compatibility. The generated specification documents an API versioning strategy using header-based negotiation, lists deprecated endpoints with migration paths, defines request and response schema changes, specifies error responses for version mismatches, outlines a rollout plan with gradual client migration, and defines monitoring metrics for version adoption.

A development team builds a collaborative document editor. The feature request mentions real-time editing and conflict resolution but lacks operational detail. Specification generation produces detailed requirements for an operational transformation algorithm, WebSocket connection management with reconnection handling, conflict resolution for simultaneous edits, data synchronization protocol, presence indicators showing active collaborators, performance requirements for edit latency, and edge cases including network partitions and malicious input.

Advanced Tips

Include diagrams for complex workflows. Link to architectural decision records for context. Specify acceptance criteria using measurable metrics. Document assumptions explicitly. Include rollback and migration strategies. Reference existing patterns to follow. Version specifications as requirements evolve.

When to Use It?

Use Cases

Feature development planning. API design documentation. System architecture specification. Product requirement translation. Technical proposal creation. Design review preparation. Developer onboarding documentation.

Related Topics

Software requirements engineering. Technical writing standards. API design best practices. Data modeling techniques. Acceptance test-driven development. Behavior-driven development specifications.

Important Notes

Requirements

Clear feature goals and objectives. Understanding of user needs and workflows. Knowledge of system architecture and constraints. Awareness of technical capabilities and limitations. Stakeholder access for clarification questions.

Usage Recommendations

Validate specifications with stakeholders before implementation. Use concrete examples rather than abstract descriptions. Include both positive and negative test cases. Document rationale for design decisions. Keep specifications current as requirements evolve. Use consistent terminology throughout. Make specifications discoverable and searchable.

Limitations

Quality depends on requirement clarity. Cannot replace domain expertise. Requires validation by technical experts. May need iteration based on feasibility. Should be a living document, not a static artifact. Does not substitute for prototyping or proof of concepts.