Software Architecture
Software Architecture is an design AI skill with a core value of Guide for quality focused software architecture. It
helps developers solve real-world problems in the design domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.
Quick Facts
mkdir -p ./skills/software-architecture && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/software-architecture/SKILL.md -o ./skills/software-architecture/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# 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
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
🎯 Best For
- UI designers
- Product designers
- Data analysts
- Business intelligence teams
- Claude users
💡 Use Cases
- Generating component mockups
- Creating design system tokens
- Finding patterns in customer data
- Creating automated dashboards
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Software Architecture to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
Can this connect to my database directly?
Most data skills accept CSV or JSON input. Database connectors are listed in the Works With section.
Does Software Architecture generate production-ready design specs?
It generates detailed specifications that developers can use directly. Review and adjust for your specific design system.
How do I install Software Architecture?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/software-architecture/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping usability testing
AI-generated designs should be validated with real users before development.
Not validating data quality
AI analysis is only as good as your input data. Profile and clean data before analysis.
Not reading the full skill
Skills contain important context and edge cases beyond the quick start.