Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/engineerwithai/engineerwith-agents/microservices-patternsnpx skills add EngineerWithAI/engineerwith-agents --skill microservices-patternsgit clone --depth 1 https://github.com/EngineerWithAI/engineerwith-agentsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00038 | $0.03564 |
| Opus 5 | $0.00019 | $0.01782 |
| Sonnet 5 | $0.00008 | $0.00713 |
| Haiku 4.5 | $0.00004 | $0.00356 |
Grade A, and why
microservices-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to microservices-patterns — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 586 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microservices Patterns
Master microservices architecture patterns including service boundaries, inter-service communication, data management, and resilience patterns for building distributed systems.
When to Use This Skill
- Decomposing monoliths into microservices
- Designing service boundaries and contracts
- Implementing inter-service communication
- Managing distributed data and transactions
- Building resilient distributed systems
- Implementing service discovery and load balancing
- Designing event-driven architectures
Core Concepts
1. Service Decomposition Strategies
By Business Capability
- Organize services around business functions
- Each service owns its domain
- Example: OrderService, PaymentService, InventoryService
By Subdomain (DDD)
- Core domain, supporting subdomains
- Bounded contexts map to services
- Clear ownership and responsibility
Strangler Fig Pattern
- Gradually extract from monolith
- New functionality as microservices
- Proxy routes to old/new systems
2. Communication Patterns
Synchronous (Request/Response)
- REST APIs
- gRPC
- GraphQL
Asynchronous (Events/Messages)
- Event streaming (Kafka)
- Message queues (RabbitMQ, SQS)
- Pub/Sub patterns
3. Data Management
Database Per Service
- Each service owns its data
- No shared databases
- Loose coupling
Saga Pattern
- Distributed transactions
- Compensating actions
- Eventual consistency
4. Resilience Patterns
Circuit Breaker
- Fail fast on repeated errors
- Prevent cascade failures
Retry with Backoff
- Transient fault handling
- Exponential backoff
Bulkhead
- Isolate resources
- Limit impact of failures
Service Decomposition Patterns
Pattern 1: By Business Capability
# E-commerce example
# Order Service
class OrderService:
"""Handles order lifecycle."""
async def create_order(self, order_data: dict) -> Order:
order = Order.create(order_data)
# Publish event for other services
await self.event_bus.publish(
OrderCreatedEvent(
order_id=order.id,
customer_id=order.customer_id,
items=order.items,
total=order.total
)
)
return order
# Payment Service (separate service)
class PaymentService:
"""Handles payment processing."""
async def process_payment(self, payment_request: PaymentRequest) -> PaymentResult:
# Process payment
result = await self.payment_gateway.charge(
amount=payment_request.amount,
customer=payment_request.customer_id
)
if result.success:
await self.event_bus.publish(
PaymentCompletedEvent(
order_id=payment_request.order_id,
transaction_id=result.transaction_id
)
)
return result
# Inventory Service (separate service)
class InventoryService:
"""Handles inventory management."""
async def reserve_items(self, order_id: str, items: List[OrderItem]) -> ReservationResult:
# Check availability
for item in items:
available = await self.inventory_repo.get_available(item.product_id)
if available < item.quantity:
return ReservationResult(
success=False,
error=f"Insufficient inventory for {item.product_id}"
)
# Reserve items
reservation = await self.create_reservation(order_id, items)
await self.event_bus.publish(
InventoryReservedEvent(
order_id=order_id,
reservation_id=reservation.id
)
)
return ReservationResult(success=True, reservation=reservation)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 586 lines · 38 tokens per session scan A e7a1982b1328
microservices-patterns is a skill published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 7mo ago), licensed MIT. It adds 38 tokens to every session and 3,564 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to microservices-patterns, differing in 0 lines, and is treated as a copy.
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