ddd:software-architecture
This skill provides guidance for quality focused software development and architecture. It is based on Clean Architecture and Domain Driven Design principles.
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Install Skill
Run in your terminal
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2
this week
765
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Installation Guide
How to use ddd:software-architecture on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
ddd:software-architecture
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches ddd:software-architecture from neolabhq/context-engineering-kit and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate ddd:software-architecture. Access via /ddd:software-architecture in your agent's command palette.
Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
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
cockatielinstead 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
- AVOID generic names:
- 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.jswith 50 unrelated functionshelpers/misc.jsas a dumping groundcommon/shared.jswith 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
List & Monetize Your Skill
Submit your Claude Code skill and start earning
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
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share 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
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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Reviews
- AAnika 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.
- CChaitanya 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.
- MMeera Desai★★★★★Dec 24, 2024
Registry listing for ddd:software-architecture matched our evaluation — installs cleanly and behaves as described in the markdown.
- MMia 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.
- AAma Thomas★★★★★Dec 4, 2024
ddd:software-architecture is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- KKwame Sharma★★★★★Nov 27, 2024
ddd:software-architecture reduced setup friction for our internal harness; good balance of opinion and flexibility.
- MMeera Ghosh★★★★★Nov 27, 2024
I recommend ddd:software-architecture for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- NNoah Lopez★★★★★Nov 23, 2024
ddd:software-architecture fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- NNoah Khan★★★★★Nov 19, 2024
ddd:software-architecture has been reliable in day-to-day use. Documentation quality is above average for community skills.
- PPiyush 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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