
requirement-analyzer
by masanao-ohba
Manifests of the Sub Agents and Skills
SKILL.md
name: requirement-analyzer description: Analyzes and documents requirements for any software project, technology-agnostic approach to requirement engineering
Generic Requirement Analyzer
A technology-agnostic skill for analyzing, categorizing, and documenting software requirements for any type of project.
Core Responsibilities
1. Requirement Decomposition
Break down requirements into universal categories:
Requirement Categories:
Functional:
- What the system must do
- User interactions
- Business logic
- Data processing
Non-Functional:
- Performance targets
- Security requirements
- Usability standards
- Reliability metrics
Constraints:
- Technical limitations
- Business rules
- Regulatory compliance
- Resource boundaries
2. Requirement Analysis Framework
Universal User Story Format:
User Story:
as_a: [user role/persona]
i_want: [feature/capability]
so_that: [business value/benefit]
Acceptance Criteria:
given: [initial context/state]
when: [action/trigger]
then: [expected outcome/result]
Requirement Specification Template:
Requirement:
id: REQ-[number]
title: [brief description]
type: functional|non-functional|constraint
priority: must|should|could|wont
description: [detailed description]
rationale: [why this is needed]
source: [stakeholder/document]
acceptance_criteria:
- [measurable criterion 1]
- [measurable criterion 2]
dependencies:
- [related requirement ids]
risks:
- [potential risks]
assumptions:
- [underlying assumptions]
3. Priority Frameworks
MoSCoW Method:
Must Have:
- Critical for launch
- System fails without it
- Legal/regulatory requirement
Should Have:
- Important but not vital
- Workaround exists
- High value for users
Could Have:
- Desirable but not necessary
- Nice to have
- Can be postponed
Won't Have (this time):
- Out of scope
- Future consideration
- Explicitly excluded
Kano Model:
Basic Needs:
- Expected by users
- Causes dissatisfaction if missing
Performance Needs:
- More is better
- Linear satisfaction
Excitement Needs:
- Delighters
- Unexpected features
- Competitive advantage
4. Requirement Quality Criteria
SMART Requirements:
Specific:
- Clear and unambiguous
- Well-defined scope
Measurable:
- Quantifiable success criteria
- Testable conditions
Achievable:
- Technically feasible
- Resource realistic
Relevant:
- Aligns with business goals
- Provides value
Time-bound:
- Has deadline/milestone
- Time constraints defined
Completeness Checklist:
Requirement Completeness:
- [ ] Clear description
- [ ] Defined acceptance criteria
- [ ] Identified stakeholder
- [ ] Priority assigned
- [ ] Dependencies mapped
- [ ] Risks assessed
- [ ] Assumptions documented
- [ ] Traceability established
5. Stakeholder Analysis
Stakeholder Mapping:
Stakeholder Analysis:
identification:
- End users
- Business owners
- Technical team
- Regulatory bodies
- External partners
influence_interest_matrix:
high_influence_high_interest:
- Key players
- Manage closely
high_influence_low_interest:
- Keep satisfied
- Regular updates
low_influence_high_interest:
- Keep informed
- Regular communication
low_influence_low_interest:
- Monitor
- Minimal effort
6. Requirement Validation
Validation Techniques:
Review Methods:
walkthrough:
- Informal review
- Author-led
- Educational focus
inspection:
- Formal review
- Defined roles
- Defect detection
prototype_validation:
- Visual representation
- User feedback
- Early validation
7. Achievement Indicators Framework
Achievement Indicators Generation:
Achievement Indicator Structure:
functional_completeness:
- indicator: "All user stories completed"
measurable: "Story points delivered"
threshold: "100% of committed stories"
priority: high
- indicator: "API contracts fulfilled"
measurable: "Endpoint tests pass"
threshold: "All endpoints return expected data"
priority: high
quality_standards:
- indicator: "Code quality maintained"
measurable: "Lint score"
threshold: "> 90/100"
priority: medium
- indicator: "Test coverage adequate"
measurable: "Coverage percentage"
threshold: ">= 80%"
priority: high
performance_criteria:
- indicator: "Response time acceptable"
measurable: "95th percentile latency"
threshold: "< 200ms"
priority: medium
- indicator: "Throughput sufficient"
measurable: "Requests per second"
threshold: "> 1000 RPS"
priority: low
security_requirements:
- indicator: "Authentication secure"
measurable: "Security audit pass"
threshold: "No critical vulnerabilities"
priority: high
Success Criteria (Achievement Objectives) Generation:
Success Criteria Structure:
implementation_goals:
- objective: "Deliver core functionality"
success_criteria: "User can complete primary workflow"
measurement: "End-to-end test passes"
- objective: "Maintain system stability"
success_criteria: "No regression in existing features"
measurement: "Regression test suite passes"
quality_goals:
- objective: "Ensure maintainability"
success_criteria: "Code follows standards"
measurement: "Code review approval"
- objective: "Document adequately"
success_criteria: "All public APIs documented"
measurement: "Documentation coverage 100%"
business_goals:
- objective: "Meet user expectations"
success_criteria: "User acceptance criteria met"
measurement: "UAT sign-off received"
- objective: "Enable future growth"
success_criteria: "Architecture supports scaling"
measurement: "Load test validates 10x capacity"
Acceptance Criteria Document Generation Template:
# Acceptance Criteria Document
# Generated: {timestamp}
# Project: {project_name}
# Task: {task_description}
# Size: {trivial|small|medium|large}
acceptance_criteria:
task_classification:
size: {estimated_size}
complexity: {low|medium|high}
risk_level: {low|medium|high}
indicators: # Achievement Indicators - What we measure
completeness:
- id: "AI-COMP-001"
indicator: {description}
measurement_method: {how_to_measure}
pass_threshold: {specific_value}
priority: {must|should|could}
verification_agent: {which_agent_verifies}
quality:
- id: "AI-QUAL-001"
indicator: {description}
measurement_method: {automated|manual}
pass_threshold: {metric_value}
priority: {level}
verification_agent: {agent_name}
performance:
- id: "AI-PERF-001"
indicator: {description}
measurement_method: {tool_or_process}
pass_threshold: {numeric_threshold}
priority: {level}
verification_agent: {agent_name}
objectives: # Success Criteria - What we aim to achieve
primary:
- id: "SC-PRIM-001"
objective: {clear_goal}
success_definition: {when_considered_achieved}
responsible_agent: {implementation_agent}
deadline: {if_applicable}
secondary:
- id: "SC-SEC-001"
objective: {supporting_goal}
success_definition: {criteria}
responsible_agent: {agent_name}
evaluation_protocol:
stage_1_pre_implementation:
- action: "Generate acceptance criteria document"
responsible: "goal-clarifier"
stage_2_implementation:
- action: "Use acceptance criteria as implementation guide"
responsible: "code-developer"
stage_3_evaluation:
- action: "Evaluate against achievement indicators"
responsible: "deliverable-evaluator"
input: "Acceptance criteria document"
stage_4_iteration:
- action: "If FAIL, return to stage 2 with feedback"
- max_iterations: 3
output_location: ".work/requirements/acceptance-criteria-{timestamp}.yaml"
Validation Criteria:
Quality Attributes:
correctness:
- Accurately represents need
- Factually correct
consistency:
- No conflicts
- Uniform terminology
completeness:
- All aspects covered
- No gaps
feasibility:
- Technically possible
- Resource available
testability:
- Verifiable criteria
- Measurable outcomes
Analysis Process
Step 1: Requirement Gathering
Sources:
- Stakeholder interviews
- Existing documentation
- Market research
- Competitive analysis
- User feedback
- Regulatory requirements
Step 2: Categorization
Classification:
1. Parse raw requirements
2. Identify requirement type
3. Assign categories
4. Group related items
5. Identify patterns
Step 3: Analysis
Analysis Activities:
1. Ambiguity resolution
2. Conflict identification
3. Gap analysis
4. Dependency mapping
5. Risk assessment
Step 4: Documentation
Documentation Outputs:
- Requirement specification
- Traceability matrix
- Stakeholder matrix
- Risk register
- Assumption log
Output Formats
Requirement Specification Document
# Requirement Specification
## Executive Summary
[High-level overview of requirements]
## Functional Requirements
### FR-001: [Title]
- **Description**: [Detail]
- **Priority**: Must Have
- **Acceptance Criteria**:
1. [Criterion 1]
2. [Criterion 2]
## Non-Functional Requirements
### NFR-001: [Title]
- **Category**: Performance
- **Metric**: Response time < 2 seconds
- **Validation**: Load testing
## Constraints
### CON-001: [Title]
- **Type**: Technical
- **Description**: [Limitation details]
- **Impact**: [How it affects design]
## Dependencies
[Requirement dependency diagram]
## Risks and Assumptions
### Risks
- [Risk 1]: [Mitigation strategy]
### Assumptions
- [Assumption 1]: [Validation plan]
Traceability Matrix
Traceability:
REQ-001:
source: "User Interview #3"
design_element: "Component A"
test_case: "TC-001, TC-002"
implementation: "Module X"
REQ-002:
source: "Regulatory Doc Section 4.2"
design_element: "Security Layer"
test_case: "TC-010"
implementation: "Auth Module"
Integration Points
With Project Configuration
# Project-specific configuration
requirement_config:
project_type: "web_application|mobile_app|api|system"
priority_framework: "moscow|kano|numerical"
requirement_categories:
- functional
- non-functional
- business
- technical
validation_requirements:
review_type: "formal|informal"
approval_levels: 2
compliance_standards:
- "ISO 27001"
- "GDPR"
With Technology-Specific Skills
# Technology-specific extensions
tech_specific:
framework: "[Framework name]"
requirement_patterns:
- "[Framework-specific pattern]"
validation_rules:
- "[Technology-specific rule]"
Best Practices
- Stakeholder Engagement: Involve all stakeholders early
- Clear Communication: Use unambiguous language
- Measurable Criteria: Define quantifiable success metrics
- Iterative Refinement: Requirements evolve, plan for changes
- Traceability: Maintain links from requirements to implementation
- Risk-Based Focus: Prioritize based on risk and value
- Documentation: Keep requirements current and accessible
Universal Application
This skill can be applied to:
- Web applications
- Mobile applications
- Desktop software
- Embedded systems
- APIs and services
- Cloud platforms
- IoT solutions
- Enterprise systems
- Machine learning projects
- Any software development project
The skill adapts to project needs through configuration rather than modification, ensuring reusability across different technology stacks and domains.
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