Awesome-omni-skill architecture-documentation
Master architecture documentation with C4 model, ADRs, diagrams, and technical documentation for clear architecture communication.
install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/architecture-documentation-spjoshis" ~/.claude/skills/diegosouzapw-awesome-omni-skill-architecture-documentation && rm -rf "$T"
manifest:
skills/development/architecture-documentation-spjoshis/SKILL.mdsource content
Architecture Documentation
Create clear, comprehensive architecture documentation that communicates design decisions and system structure to stakeholders.
When to Use This Skill
- New system design
- Architecture changes
- Team onboarding
- Stakeholder communication
- Technical reviews
- Knowledge transfer
- Compliance requirements
- Decision tracking
Core Concepts
1. Architecture Decision Record (ADR)
# ADR 001: Use PostgreSQL for Primary Database **Date:** 2024-01-15 **Status:** Accepted **Deciders:** Tech Lead, Solutions Architect, Backend Team ## Context Need to select a database for new e-commerce platform. Requirements: - ACID transactions for order processing - Complex queries (joins, aggregations) - Strong consistency - Support for 100K users initially, 1M within 2 years ## Decision Use PostgreSQL as primary database. ## Alternatives Considered **MySQL:** - ✅ Widely used, good documentation - ✅ Strong community support - ❌ Historically weaker for complex queries - ❌ JSON support not as robust **MongoDB:** - ✅ Flexible schema - ✅ Horizontal scaling - ❌ No multi-document ACID transactions (at time of decision) - ❌ Eventual consistency by default **DynamoDB:** - ✅ Fully managed, auto-scaling - ❌ Complex query limitations - ❌ Vendor lock-in - ❌ Cost unpredictable at scale ## Rationale - PostgreSQL offers ACID guarantees needed for financial transactions - Advanced SQL features (window functions, CTEs) for analytics - Excellent JSON support for flexible data - Proven at scale (Instagram, Uber) - Can add read replicas for scaling - Strong typing prevents data errors ## Consequences **Positive:** - Strong data consistency - Rich query capabilities - Battle-tested reliability - Excellent tooling ecosystem **Negative:** - Vertical scaling limits (mitigated with read replicas) - More complex horizontal sharding (if needed in future) - Requires DBA expertise for optimization ## Compliance No specific compliance requirements impacted. ## Notes Will reassess if we need to shard beyond 10M users.
2. System Architecture Document
# System Architecture: E-Commerce Platform ## Overview Microservices-based e-commerce platform supporting 1M users with high availability and scalability. ## Architecture Principles 1. Microservices for domain separation 2. API-first design 3. Event-driven communication 4. Cloud-native (AWS) 5. Infrastructure as Code ## System Context (C4 Level 1) [Diagram showing users, system, external systems] ## Container Diagram (C4 Level 2) **Frontend:** - React SPA (S3 + CloudFront) - Mobile Apps (iOS/Android) **Backend Services:** - API Gateway (AWS API Gateway) - User Service (Node.js, PostgreSQL) - Product Service (Node.js, PostgreSQL) - Order Service (Node.js, PostgreSQL) - Payment Service (Node.js) - Notification Service (Node.js, SES) **Data Stores:** - PostgreSQL (RDS Multi-AZ) - Redis (ElastiCache) - S3 (product images) **Messaging:** - EventBridge (event bus) - SQS (queues) **External:** - Stripe (payment processing) - SendGrid (email) ## Technology Stack **Frontend:** - React 18 - TypeScript - Tailwind CSS **Backend:** - Node.js 20 - Express.js - TypeScript - PostgreSQL 15 - Redis 7 **Infrastructure:** - AWS (primary cloud) - Terraform (IaC) - GitHub Actions (CI/CD) - DataDog (monitoring) ## Security - HTTPS only (TLS 1.3) - JWT authentication - Role-based access control - Encryption at rest (AES-256) - Regular security scans (Snyk, OWASP ZAP) ## Scalability - Horizontal scaling with Auto Scaling Groups - Database read replicas - CDN for static assets - Redis caching - Async processing with SQS ## Disaster Recovery - RPO: 1 hour - RTO: 4 hours - Multi-AZ deployment - Daily database backups - Cross-region replication for critical data ## Monitoring & Observability - DataDog APM - CloudWatch logs - Custom metrics dashboard - PagerDuty alerts
Best Practices
- Keep it current - Update with changes
- Multiple views - Different stakeholders need different levels
- Visual diagrams - Architecture diagrams, sequence diagrams
- Decision rationale - Document "why", not just "what"
- ADRs for major decisions - Track decision history
- Living documentation - Evolve with system
- Version control - Track changes over time
- Review regularly - Quarterly architecture reviews
Resources
- C4 Model: https://c4model.com
- ADR Templates: https://adr.github.io
- Structurizr: Architecture diagram tool