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Requirements Engineering

Community
Omar-Obando
requirements-engineering

Use when gathering requirements, creating use cases, writing user stories, defining acceptance criteria, and conducting requirements analysis. Includes requirements elicitation techniques, specification methods, and validation approaches. Based on CPRE, CSBA certifications and IEEE standards.

Overview

PublisherOmar-Obando
Repositoryqwen-orchestrator
Skill namerequirements-engineering
Stars
53
Forks
13
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Omar-Obando on GitHub. Read the source before you install it.

Installation

Install the Requirements Engineering AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Omar-Obando/qwen-orchestrator/tree/main/skills/requirements-engineering
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Omar-Obando/qwen-orchestrator.git /tmp/qwen-orchestrator
mkdir -p .claude/skills
cp -r /tmp/qwen-orchestrator/skills/requirements-engineering .claude/skills/requirements-engineering
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Requirements Engineering in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Requirements Engineering on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Requirements Engineering is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Requirements Engineering Skill — Planner & Research & Architecture

Overview

This skill provides comprehensive guidance for requirements engineering, including requirements gathering, analysis, specification, validation, and management. It covers use cases, user stories, acceptance criteria, and requirements traceability following CPRE and CSBA methodologies.

When to Use

Use this skill when:

  • Gathering requirements from stakeholders
  • Creating use cases and user stories
  • Defining acceptance criteria for features
  • Conducting requirements analysis and validation
  • Managing requirements traceability
  • Performing requirements prioritization
  • Creating requirements documentation
  • Facilitating requirements workshops
  • Conducting stakeholder interviews
  • Performing gap analysis
  • Creating functional specifications
  • Defining non-functional requirements
  • Managing requirements changes
  • Performing requirements validation
  • Creating requirements baseline
  • Conducting requirements review
  • Managing requirements versioning
  • Performing requirements impact analysis
  • Creating requirements matrix
  • Managing requirements dependencies
  • Performing requirements verification
  • Creating requirements traceability matrix
  • Managing requirements in agile environments

Do NOT use this skill when:

  • Writing implementation code (use domain-driven skill)
  • Designing database schemas (use database-design skill)
  • Writing API endpoint specifications (use api-design skill)
  • Performing security audits (use security-auditor skill)
  • Writing SQL queries (use sql-best-practices skill)
  • Designing multi-page website layouts (use design-system skill)
  • Analyzing deployment configurations (use deployment skill)
  • Writing documentation (use documentation-best-practices skill)

Requirements Elicitation Techniques

Interview Framework

┌─────────────────────────────────────────────────────────────┐
│              Requirements Interview Process                 │
├─────────────────────────────────────────────────────────────┤
│  1. Prepare (Objectives, questions, stakeholders)           │
│  2. Conduct (Active listening, probing, note-taking)        │
│  3. Document (Transcribe, summarize, validate)              │
│  4. Analyze (Identify gaps, conflicts, inconsistencies)     │
│  5. Validate (Review with stakeholders)                     │
└─────────────────────────────────────────────────────────────┘

Question Types

┌─────────────────────────────────────────────────────────────┐
│              Question Types                                 │
├─────────────────────────────────────────────────────────────┤
│  Open-ended:     "What are your main challenges?"           │
│  Closed:         "Do you use X feature daily?"              │
│  Probing:        "Can you tell me more about that?"         │
│  Clarifying:     "So you mean X when you say Y?"            │
│  Leading:        "Don't you think X is important?"          │
│  Hypothetical:   "What would you do if X happened?"         │
└─────────────────────────────────────────────────────────────┘

Use Case Specification

Use Case Template

Use Case Name: [Name]
Actor: [Primary actor]
Preconditions: [Conditions before execution]
Postconditions: [Conditions after successful execution]
Main Success Scenario:
  1. [Actor action]
  2. [System response]
  3. [Actor action]
  ...
Alternate Scenarios:
  1a. [Alternative path]
  2a. [Alternative path]
Exceptions:
  1. [Exception scenario]
  2. [Exception scenario]
Non-functional Requirements:
  - Performance: [Requirements]
  - Security: [Requirements]
  - Usability: [Requirements]

Use Case Example

Use Case Name: User Login
Actor: Registered User
Preconditions: User has valid account credentials
Postconditions: User is authenticated and session is created
Main Success Scenario:
  1. User navigates to login page
  2. System displays login form
  3. User enters email and password
  4. System validates credentials
  5. System creates authentication session
  6. System redirects to dashboard
Alternate Scenarios:
  3a. User enters invalid credentials
      - System displays error message
      - User re-enters credentials
  3b. User clicks "Forgot Password"
      - System redirects to password reset page
Exceptions:
  1. User account is locked
     - System displays account lock message
     - User contacts support
Non-functional Requirements:
  - Performance: Login completes in < 2 seconds
  - Security: Passwords encrypted in transit and storage
  - Usability: Clear error messages for all failure cases

User Story Format

Standard Template

As a [type of user],
I want [some goal]
So that [some reason].

Acceptance Criteria:
- [Criterion 1]
- [Criterion 2]
- [Criterion 3]

Estimate: [Story Points]
Priority: [High/Medium/Low]

INVEST Principle

CriterionDescription
IndependentStory is self-contained
NegotiableDetails can be discussed
ValuableDelivers business value
EstimableTeam can estimate effort
SmallCan be completed in sprint
TestableAcceptance criteria defined

Acceptance Criteria Guidelines

Good Acceptance Criteria

  • Specific: Clear and unambiguous
  • Testable: Can be verified
  • Realistic: Can be implemented
  • Complete: All requirements covered
  • Atomic: Single, focused requirement

Acceptance Criteria Examples

Feature: User Registration

Acceptance Criteria:
- User can register with email and password
- Email must be valid format
- Password must be at least 8 characters
- System sends confirmation email
- User receives confirmation message
- User cannot register with duplicate email
- Invalid email format shows error message
- Password strength indicator shown

Requirements Traceability

Traceability Matrix

┌─────────────────────────────────────────────────────────────┐
│              Requirements Traceability Matrix               │
├─────────────────────────────────────────────────────────────┤
│  Req ID  │  Description  │  Test Case  │  Component  │ Status │
│  ────────┼───────────────┼─────────────┼─────────────┼────────│
│  REQ-001 │ User Login    │ TC-001      │ AuthModule  │  Done  │
│  REQ-002 │ User Register │ TC-002      │ AuthModule  │  Done  │
│  REQ-003 │ Password Reset│ TC-003      │ AuthModule  │Testing │
└─────────────────────────────────────────────────────────────┘

Traceability Types

┌─────────────────────────────────────────────────────────────┐
│              Traceability Types                             │
├─────────────────────────────────────────────────────────────┤
│  Forward Traceability: Requirements → Design → Code → Test │
│  Backward Traceability: Test → Code → Design → Requirements│
│  Horizontal: Between related requirements                   │
│  Vertical: Between different levels (business → system)    │
└─────────────────────────────────────────────────────────────┘

Requirements Prioritization

MoSCoW Method

PriorityMeaningAction
Must haveCritical for MVPMust implement
Should haveImportant but not criticalImplement if time
Could haveNice to haveImplement if extra time
Won't haveNot in current scopeDefer to future

Value vs Effort Matrix

High Value
    │    ●    ●
    │  ●
    │
    └───────────────► Low Effort

RICE Scoring

RICE Score = (Reach × Impact × Confidence) / Effort

Where:
- Reach: Number of people affected
- Impact: Effect on users (1-3)
- Confidence: Estimate certainty (0-100%)
- Effort: Person-months required

Requirements Validation

Checklist

[ ] Requirements are clear and unambiguous
[ ] Requirements are complete and consistent
[ ] Requirements are feasible and achievable
[ ] Requirements are testable
[ ] Requirements are traceable
[ ] Requirements are prioritized
[ ] Requirements are approved by stakeholders
[ ] Requirements are versioned and controlled

Validation Techniques

┌─────────────────────────────────────────────────────────────┐
│              Validation Techniques                          │
├─────────────────────────────────────────────────────────────┤
│  Review:        Peer review, walkthrough, inspection        │
│  Demonstration: Prototype, mockup, simulation               │
│  Analysis:      Formal analysis, modeling                   │
│  Testing:       Requirements-based testing                  │
│  Workshop:      Facilitated session with stakeholders       │
└─────────────────────────────────────────────────────────────┘

Real-World Impact

Before this skill:

  • Requirements gathered ad-hoc
  • Incomplete or inconsistent specifications
  • Changes cause rework
  • Stakeholders dissatisfied
  • Testing misses requirements

After this skill:

  • Complete, consistent requirements
  • Clear acceptance criteria
  • Traceable requirements
  • Stakeholders aligned
  • Testing covers all requirements

Cross-References

  • product-owner - For backlog management and user stories
  • api-design - For API feature specifications
  • analyzing-projects - For requirements analysis and assessment

References

Frequently asked questions

What does the Requirements Engineering AI skill do?

Use when gathering requirements, creating use cases, writing user stories, defining acceptance criteria, and conducting requirements analysis. Includes requirements elicitation techniques, specification methods, and validation approaches. Based on CPRE, CSBA certifications and IEEE standards.

Why use Requirements Engineering on TypingMind?

Because you install it once and use it with any model. Requirements Engineering is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Requirements Engineering in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Omar-Obando/qwen-orchestrator/tree/main/skills/requirements-engineering. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Requirements Engineering?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Requirements Engineering?

As many as you like. As long as a model supports skills, you can use Requirements Engineering with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Requirements Engineering AI skill free?

Yes. It is published on GitHub by Omar-Obando under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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