ddd:software-architecture

neolabhq/context-engineering-kit · updated Apr 8, 2026

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$npx skills add https://github.com/neolabhq/context-engineering-kit --skill ddd:software-architecture
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summary

This skill provides guidance for quality focused software development and architecture. It is based on Clean Architecture and Domain Driven Design principles.

skill.md

Software Architecture Development Skill

This skill provides guidance for quality focused software development and architecture. It is based on Clean Architecture and Domain Driven Design principles.

Code Style Rules

General Principles

  • Early return pattern: Always use early returns when possible, over nested conditions for better readability
  • Avoid code duplication through creation of reusable functions and modules
  • Decompose long (more than 80 lines of code) components and functions into multiple smaller components and functions. If they cannot be used anywhere else, keep it in the same file. But if file longer than 200 lines of code, it should be split into multiple files.
  • Use arrow functions instead of function declarations when possible

Best Practices

Library-First Approach

  • ALWAYS search for existing solutions before writing custom code
    • Check npm for existing libraries that solve the problem
    • Evaluate existing services/SaaS solutions
    • Consider third-party APIs for common functionality
  • Use libraries instead of writing your own utils or helpers. For example, use cockatiel instead of writing your own retry logic.
  • When custom code IS justified:
    • Specific business logic unique to the domain
    • Performance-critical paths with special requirements
    • When external dependencies would be overkill
    • Security-sensitive code requiring full control
    • When existing solutions don't meet requirements after thorough evaluation

Architecture and Design

  • Clean Architecture & DDD Principles:
    • Follow domain-driven design and ubiquitous language
    • Separate domain entities from infrastructure concerns
    • Keep business logic independent of frameworks
    • Define use cases clearly and keep them isolated
  • Naming Conventions:
    • AVOID generic names: utils, helpers, common, shared
    • USE domain-specific names: OrderCalculator, UserAuthenticator, InvoiceGenerator
    • Follow bounded context naming patterns
    • Each module should have a single, clear purpose
  • Separation of Concerns:
    • Do NOT mix business logic with UI components
    • Keep database queries out of controllers
    • Maintain clear boundaries between contexts
    • Ensure proper separation of responsibilities

Anti-Patterns to Avoid

  • NIH (Not Invented Here) Syndrome:
    • Don't build custom auth when Auth0/Supabase exists
    • Don't write custom state management instead of using Redux/Zustand
    • Don't create custom form validation instead of using established libraries
  • Poor Architectural Choices:
    • Mixing business logic with UI components
    • Database queries directly in controllers
    • Lack of clear separation of concerns
  • Generic Naming Anti-Patterns:
    • utils.js with 50 unrelated functions
    • helpers/misc.js as a dumping ground
    • common/shared.js with unclear purpose
  • Remember: Every line of custom code is a liability that needs maintenance, testing, and documentation

Code Quality

  • Proper error handling with typed catch blocks
  • Break down complex logic into smaller, reusable functions
  • Avoid deep nesting (max 3 levels)
  • Keep functions focused and under 50 lines when possible
  • Keep files focused and under 200 lines of code when possible
how to use ddd:software-architecture

How to use ddd:software-architecture on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add ddd:software-architecture
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/neolabhq/context-engineering-kit --skill ddd:software-architecture

The skills CLI fetches ddd:software-architecture from GitHub repository neolabhq/context-engineering-kit and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/ddd:software-architecture

Reload or restart Cursor to activate ddd:software-architecture. Access the skill through slash commands (e.g., /ddd:software-architecture) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.747 reviews
  • Anika Rahman· Dec 28, 2024

    Useful defaults in ddd:software-architecture — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chaitanya Patil· Dec 24, 2024

    Useful defaults in ddd:software-architecture — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Meera Desai· Dec 24, 2024

    Registry listing for ddd:software-architecture matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Mia Liu· Dec 8, 2024

    Solid pick for teams standardizing on skills: ddd:software-architecture is focused, and the summary matches what you get after install.

  • Ama Thomas· Dec 4, 2024

    ddd:software-architecture is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kwame Sharma· Nov 27, 2024

    ddd:software-architecture reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Meera Ghosh· Nov 27, 2024

    I recommend ddd:software-architecture for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Noah Lopez· Nov 23, 2024

    ddd:software-architecture fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Noah Khan· Nov 19, 2024

    ddd:software-architecture has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Piyush G· Nov 15, 2024

    ddd:software-architecture has been reliable in day-to-day use. Documentation quality is above average for community skills.

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