Analyzing Requirements

Goal

Parse user stories, feature requests, vague descriptions, or stakeholder conversations into a structured requirements document that can drive architecture and implementation decisions.

When to Use

• •A user describes a feature or product idea in natural language
• •You receive user stories that need formalization
• •Requirements exist but are unstructured, incomplete, or ambiguous
• •You need to prepare input for the designing-architecture skill

Instructions

1. Gather Raw Input

Collect all available information: user stories, feature requests, stakeholder notes, existing documentation, or conversational descriptions. If the input is thin, ask clarifying questions before proceeding.

2. Identify User Roles

Extract every distinct user role or actor mentioned or implied. For each role, define their goals, permissions, and relationship to other roles.

3. Extract Functional Requirements

Break the input into discrete functional requirements. Each requirement should describe a single capability the system must provide.

For each requirement, assign:

• •ID: A unique identifier (e.g., FR-001)
• •Description: A clear, testable statement of what the system does
• •Priority: Using MoSCoW classification (Must-have, Should-have, Could-have, Won't-have)
• •Acceptance Criteria: Concrete conditions that prove the requirement is met

Example: The input "users should be able to sign up and manage their profile" becomes:

4. Extract Non-Functional Requirements

Identify requirements that describe system qualities rather than features:

• •Performance: Response times, throughput, concurrent users
• •Security: Authentication, authorization, data encryption, compliance
• •Scalability: Growth expectations, horizontal vs vertical scaling needs
• •Accessibility: WCAG level, screen reader support, keyboard navigation
• •Reliability: Uptime targets, disaster recovery, data backup

5. Map Data Entities and Relationships

Identify the core data entities, their fields, and how they relate to each other. This feeds directly into data model design.

6. Identify Workflows

Trace end-to-end user workflows that span multiple requirements. Document the happy path and the most important error paths.

7. Log Open Questions

Any ambiguity that cannot be resolved from the available input should be logged as an open question, not silently assumed.

8. Produce the Requirements Document

Compile everything into a structured document following the template in references/requirement-template.md.

Constraints

✅ Do

• •Ask clarifying questions when input is ambiguous or incomplete
• •Identify edge cases and error scenarios for each requirement
• •Define measurable acceptance criteria for every functional requirement
• •Prioritize using MoSCoW and justify the classification
• •Separate functional from non-functional requirements
• •Cross-reference requirements that depend on each other
• •Log every assumption explicitly

❌ Don't

• •Assume missing details; flag them as open questions instead
• •Gold-plate requirements by adding capabilities the user did not request
• •Skip non-functional requirements even if the user only describes features
• •Write vague acceptance criteria like "works correctly" or "is fast"
• •Combine multiple independent capabilities into a single requirement
• •Ignore security and accessibility unless explicitly told they are out of scope

Output Format

A Markdown document following the structure defined in references/requirement-template.md. The document should be self-contained and readable by both technical and non-technical stakeholders.

Key sections:

1. •Project Overview
2. •User Roles
3. •Functional Requirements (grouped by domain)
4. •Non-Functional Requirements
5. •Data Entities
6. •API Surface (preliminary)
7. •Open Questions

Dependencies

• •../../shared/task-tracking/SKILL.md -- for tracking progress on requirement gathering
• •references/requirement-template.md -- structural template for the output document