peterbamuhigire/project-requirements

Platform Notes

• Optional helper plugins may help in some environments, but they must not be treated as required for this skill.

Project Requirements Documentation Helper

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Use When

• Guided interview to create comprehensive project requirements documentation (requirements.md, business-rules.md, user-types.md, workflows.md) for a new SaaS project. Use before bootstrapping the SaaS Seeder Template.
• The task needs reusable judgment, domain constraints, or a proven workflow rather than ad hoc advice.

Do Not Use When

• The task is unrelated to project-requirements or would be better handled by a more specific companion skill.
• The request only needs a trivial answer and none of this skill's constraints or references materially help.

Required Inputs

• Gather relevant project context, constraints, and the concrete problem to solve.
• Confirm the desired deliverable: design, code, review, migration plan, audit, or documentation.

Workflow

• Read this SKILL.md first, then load only the referenced deep-dive files that are necessary for the task.
• Apply the ordered guidance, checklists, and decision rules in this skill instead of cherry-picking isolated snippets.
• Produce the deliverable with assumptions, risks, and follow-up work made explicit when they matter.

Quality Standards

• Keep outputs execution-oriented, concise, and aligned with the repository's baseline engineering standards.
• Preserve compatibility with existing project conventions unless the skill explicitly requires a stronger standard.
• Prefer deterministic, reviewable steps over vague advice or tool-specific magic.

Anti-Patterns

• Treating examples as copy-paste truth without checking fit, constraints, or failure modes.
• Loading every reference file by default instead of using progressive disclosure.

Outputs

• A concrete result that fits the task: implementation guidance, review findings, architecture decisions, templates, or generated artifacts.
• Clear assumptions, tradeoffs, or unresolved gaps when the task cannot be completed from available context alone.
• References used, companion skills, or follow-up actions when they materially improve execution.

References

• Use the links and companion skills already referenced in this file when deeper context is needed.

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Create comprehensive requirements documentation for a new SaaS project through a guided AI-assisted interview process.

When to Use

Use when starting a new SaaS project from the template:

• "Help me create project requirements for [SaaS name]"
• "I need to document requirements for my SaaS"
• "Create requirements documentation for a new project"
• "Guide me through requirements gathering"

Purpose

This skill helps developers create the required documentation files that must be placed in docs/project-requirements/ BEFORE bootstrapping the SaaS Seeder Template.

Output Files

The skill creates four core documentation files plus optional UI mockups:

docs/project-requirements/
├── requirements.md       # Feature requirements & specifications
├── business-rules.md     # Business logic & validation rules
├── user-types.md         # User roles and permissions
├── workflows.md          # Key user workflows
└── ui-mockups/           # Optional UI designs (images/PDFs)

**Documentation Requirement (Mandatory):**
- Define the end-user manual scope for each core feature so manuals can be built immediately after implementation.

**Planning Index Rule:** When feature plans are created later, always update `docs/plans/INDEX.md` with status, urgency, last implementation date, and last modification date.

Guided Interview Process

Phase 1: Project Overview (requirements.md foundation)

Questions to ask:

1. Project Basics

   • What is the name of your SaaS?
   • What domain/industry? (School, Restaurant, Medical, E-commerce, etc.)
   • Who are the primary users?
   • What is the main problem you're solving?
   • Target launch date?

2. Core Features (iterative) For each feature:

   • What is the feature name?
   • Brief description (1-2 sentences)
   • User stories: "As a [user type], I want to [action] so that [benefit]"
   • Acceptance criteria (specific, testable requirements)
   • Priority: High / Medium / Low

   Example prompts:

   • "Let's start with your top 3 most important features"
   • "What happens when a user clicks this button?"
   • "What data needs to be collected?"
   • "What validations are needed?"

3. Non-Functional Requirements

   • Performance expectations (concurrent users, response times)
   • Security requirements
   • Scalability needs (how many franchises, users per franchise)
   • Usability requirements (mobile, offline, languages)
   • GIS requirements (Leaflet maps, geofencing, optional tile provider API key if needed)
   • Documentation requirements (manuals, guides, release notes, FAQs)

Output: Generate docs/project-requirements/requirements.md

Phase 2: Business Rules (business-rules.md)

Questions to ask:

1. Validation Rules For each entity/form:

   • What fields are required?
   • What are the validation rules? (length, format, range)
   • Are there unique constraints?
   • Cross-field validations?

2. Calculations

   • What formulas/algorithms are needed? (GPA, pricing, discounts, etc.)
   • Provide examples with sample inputs and outputs
   • Edge cases to handle

3. State Machines

   • What statuses can entities have? (e.g., student: PENDING → ACTIVE → GRADUATED)
   • What are valid transitions?
   • What triggers each transition?
   • What transitions are not allowed and why?

4. Business Constraints

   • Capacity limits (e.g., max students per class)
   • Time-based rules (e.g., can't modify grades after term closes)
   • Access restrictions (e.g., teachers only see their own subjects)

Output: Generate docs/project-requirements/business-rules.md

Phase 3: User Types (user-types.md)

Questions to ask:

1. User Type Identification

   • Beyond owner/staff, what custom user types do you need?
   • Examples: student, teacher, parent, customer, patient, waiter, chef
   • Which users are "end users" vs "franchise staff"?

2. For Each User Type:

   • What is their role/purpose?
   • What can they do? (capabilities)
   • What data can they access?
   • Which panel do they use? (franchise admin vs member portal)
   • Does franchise_id apply? (REQUIRED for non-super_admin)

3. Permissions

   • What permission codes are needed?
   • Which user types get which permissions?
   • Any special access rules?

4. Registration Workflows

   • How is each user type created/registered?
   • Self-registration or admin-created?
   • What information is collected?

Output: Generate docs/project-requirements/user-types.md

Phase 4: Workflows (workflows.md)

Questions to ask:

1. Key Workflows Identification

   • What are the 3-5 most important user journeys?
   • Examples: student enrollment, grade submission, fee payment, order placement

2. For Each Workflow:

   • Who are the actors? (users, system, external services)
   • What triggers this workflow?
   • What are the preconditions?
   • What are the postconditions?

3. Step-by-Step Flow For each step:

   • Who does what?
   • What does the system do in response?
   • What data is collected/saved?
   • Any branching logic?

4. Alternative Flows & Errors

   • What can go wrong?
   • How should errors be handled?
   • What alternative paths exist?

Output: Generate docs/project-requirements/workflows.md

Phase 5: UI Mockups (Optional)

Questions to ask:

1. Do you have UI mockups or wireframes?
2. If yes: Place files in docs/project-requirements/ui-mockups/
3. Reference them in requirements.md where relevant

Interview Techniques

Ask Follow-Up Questions

When user gives vague answer:

User: "I need a student management system"
AI: "Great! Let's break that down:
  - What information do you need to track about students?
  - How do students get enrolled?
  - Who can view/edit student data?
  - What reports do you need?"

Use Examples

When explaining complex concepts:

AI: "For grade calculation, here's an example:
  Subject 1: Grade A (4.0), Credits 3 → 4.0 × 3 = 12
  Subject 2: Grade B (3.0), Credits 4 → 3.0 × 4 = 12
  GPA = (12 + 12) ÷ (3 + 4) = 24 ÷ 7 = 3.43

  Does this match your grading system?"

Provide Templates

Show structure to guide thinking:

AI: "For each feature, let's capture:
  ✓ Feature name
  ✓ Description
  ✓ User stories
  ✓ Acceptance criteria
  ✓ Priority

  Let's start with your first feature..."

Quality Standards

Good Requirements

✅ Specific: "Student email must be unique within franchise" not "email must be valid" ✅ Testable: "GPA calculated as weighted average" with formula ✅ Complete: All user types, all workflows, all validations documented ✅ Unambiguous: Clear language, examples provided ✅ Prioritized: High/Medium/Low for features

Red Flags

❌ Too vague: "The system should be user-friendly" ❌ Missing details: "User can edit data" (which data? which users?) ❌ Assumptions: "Obviously students can't delete grades" (document it!) ❌ No examples: Formula without sample calculation

Template Usage

Reference the template files:

When starting the interview, tell the user:

I'll help you create comprehensive requirements documentation.
We have template files to guide us:
- requirements.md.template
- business-rules.md.template
- user-types.md.template
- workflows.md.template

Let's start with your project overview...

Use template structure but customize content:

• Replace example content with user's actual requirements
• Add more sections as needed
• Remove sections not applicable
• Keep examples where they help clarify

Integration with SaaS Seeder

After completing requirements documentation:

1. Verify files are in docs/project-requirements/:

   ✓ requirements.md
   ✓ business-rules.md
   ✓ user-types.md
   ✓ workflows.md
   

2. Create database schema in database/schema/core-schema.sql based on requirements

3. Run the saas-seeder skill to bootstrap the template:

   "Using the saas-seeder skill, prepare this repository for [Project Name]"
   

Example Interview Flow

AI: "Let's create your project requirements! What's your SaaS project about?"
User: "A school management system"

AI: "Great! Let's start with the basics:
  1. What's the name of your SaaS?
  2. What types of schools? (Primary, Secondary, University, All)
  3. Who will use it? (Teachers, Students, Parents, Admins)"

User: "EduTrack SaaS. For all school types. Teachers, students, parents, and school admins."

AI: "Perfect! Let's identify your core features.
  What's the #1 most important feature?"

User: "Student enrollment"

AI: "Let's detail that. When a student enrolls:
  - Who creates the enrollment? (Admin, Parent, or Self-registration)
  - What information is collected?
  - What happens after enrollment?
  - Any approval process?"

... (continue interview)

AI: "Excellent! I've created your requirements.md.
  Now let's talk about business rules.
  For student enrollment, are there any restrictions?
  - Age limits?
  - Class capacity limits?
  - Document requirements?"

... (continue for all phases)

Validation Checklist

Before completing, verify:

• [ ] All four core files created
• [ ] Each feature has acceptance criteria
• [ ] User types clearly defined
• [ ] Key workflows documented step-by-step
• [ ] Validation rules specified
• [ ] Calculations have examples
• [ ] State transitions documented
• [ ] Permission codes listed
• [ ] Multi-tenant requirements considered (franchise_id filtering)

Output Confirmation

When complete, report to user:

✅ Project Requirements Documentation Complete!

Created Files:
- ✓ docs/project-requirements/requirements.md
- ✓ docs/project-requirements/business-rules.md
- ✓ docs/project-requirements/user-types.md
- ✓ docs/project-requirements/workflows.md

Summary:
- Features documented: [count]
- User types defined: [list]
- Key workflows: [list]
- Business rules: [count]

Next Steps:
1. Review the documentation files
2. Create database schema in database/schema/core-schema.sql
3. Run the saas-seeder skill to bootstrap your project
4. Start development!

Ready to bootstrap? Use:
"Using the saas-seeder skill, prepare this repository for [Your Project Name]"

Best Practices

Do:

• Ask open-ended questions first, then drill down
• Provide examples to illustrate concepts
• Summarize what you've learned before moving to next section
• Offer to add more details if user thinks of something later
• Keep documentation practical and actionable

Don't:

• Assume requirements without asking
• Skip validations and edge cases
• Create generic documentation (make it specific to their SaaS)
• Overwhelm with too many questions at once
• Forget to save progress incrementally

References

• Template files in docs/project-requirements/*.template
• saas-seeder skill for bootstrapping after requirements
• ../../CLAUDE.md - Project-specific documentation after bootstrap
• Multi-tenant patterns: All franchise-scoped data needs franchise_id

Cross-References to SDLC Skills

Downstream Skills (use AFTER this skill)

| Skill | Relationship | |-------|-------------| | sdlc-planning | Takes this skill's output (requirements.md, business-rules.md, user-types.md, workflows.md) as input for Feasibility Study, Vision & Scope, SRS, and other planning documents. This is the primary next step. | | sdlc-design | Uses the SRS (produced via sdlc-planning) to generate System Design Document, Database Design, API Documentation, and Technical Specifications. | | sdlc-testing | Uses the SRS and SDD to create test plans, test cases, and V&V documentation. | | sdlc-user-deploy | Uses all prior SDLC outputs to create user manuals, deployment guides, training materials, and release notes. | | feature-planning | For individual feature specs and implementation plans after project-level requirements are established. | | android-saas-planning | For Android companion app planning (PRD, SDS, API Contract). Uses SRS as input. | | saas-seeder | Bootstrap the SaaS template using requirements from this skill's output. |

Complete SDLC Workflow

project-requirements (THIS SKILL)
    ↓ requirements.md, business-rules.md, user-types.md, workflows.md
sdlc-planning
    ↓ SRS, Vision & Scope, SDP, Feasibility Study, QA Plan, Risk Plan, SCMP
sdlc-design
    ↓ SDD, Database Design, Tech Spec, API Docs, ICD, Code Standards
sdlc-testing
    ↓ Test Plan, Test Cases, V&V Plan, Test Report, Peer Reviews
sdlc-user-deploy
    ↓ User Manual, Ops Guide, Training, Release Notes, Maintenance, README