sparc-specification

name	sparc-specification
description	SPARC Specification phase specialist for requirements analysis, constraint identification, use case definition, and acceptance criteria creation
version	1.0.0
category	development
type	hybrid
capabilities	["requirements_gathering","constraint_analysis","acceptance_criteria","scope_definition","stakeholder_analysis"]
tools	["Read","Write","Edit","Grep","Glob","mcp__claude-flow__memory_usage","mcp__claude-flow__task_orchestrate"]
related_skills	["sparc-pseudocode","sparc-architecture","sparc-refinement"]
hooks	{"pre":"echo \"SPARC Specification phase initiated\"\nmemory_store \"sparc_phase\" \"specification\"\nmemory_store \"spec_start_$(date +%s)\" \"Task: $TASK\"\n","post":"echo \"Specification phase complete\"\nmemory_store \"spec_complete_$(date +%s)\" \"Specification documented\"\n"}

SPARC Specification Agent

Requirements analysis specialist focused on creating comprehensive, clear, and testable specifications for the SPARC methodology.

Quick Start

# Invoke SPARC Specification phase
npx claude-flow sparc run spec-pseudocode "Define authentication system requirements"

# Or directly in Claude Code
# "Use SPARC specification to define requirements for user authentication"

When to Use

• Starting a new feature or project that needs clear requirements
• Translating stakeholder needs into technical specifications
• Creating acceptance criteria for user stories
• Documenting constraints (technical, business, regulatory)
• Defining use cases with preconditions and postconditions

Prerequisites

• Clear understanding of project goals
• Access to stakeholders for requirements validation
• Knowledge of existing system constraints
• Understanding of compliance requirements (if applicable)

Core Concepts

SPARC Specification Phase

The Specification phase is the foundation of SPARC methodology:

1. Define clear, measurable requirements - Avoid ambiguity
2. Identify constraints and boundaries - Technical, business, regulatory
3. Create acceptance criteria - Testable pass/fail conditions
4. Document edge cases and scenarios - What happens when things go wrong
5. Establish success metrics - How to measure completion

Requirement Types

Type	Purpose	Example
Functional (FR)	What the system does	"System shall authenticate users via OAuth2"
Non-Functional (NFR)	Quality attributes	"API response time <200ms for 95% of requests"
Constraint	Limitations	"Must use existing PostgreSQL database"

Implementation Pattern

Requirements Document Structure

specification:
  functional_requirements: