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Microservices

skill-cosmicstack-labs-mercury-agent-skills-microservices · by cosmicstack-labs

Service boundaries, communication patterns, event sourcing, CQRS, and distributed tracing

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Install

$ agentstack add skill-cosmicstack-labs-mercury-agent-skills-microservices

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-cosmicstack-labs-mercury-agent-skills-microservices)

Reliability & compatibility

✓ Security review passed
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● 3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Microservices

Design and operate microservice architectures.

Service Boundaries

Bounded Context (DDD)

  • Each service owns a domain concept
  • Service has its own database (no DB sharing)
  • Communication via API or events
  • Avoid "shared" services (leads to tight coupling)

Service Sizing

  • Too small: Nano-services — high overhead, hard to debug
  • Too large: Distributed monolith — worst of both worlds
  • Right size: Team can build, test, deploy independently

Communication Patterns

| Pattern | Type | When | |---------|------|------| | REST | Sync | Request-response, CRUD | | gRPC | Sync (fast) | Internal, high throughput | | Event | Async | Decoupled workflows | | Message Queue | Async | Buffered, reliable delivery |

Event-Driven Communication

Service A → Event Bus → Service B
                       → Service C
                       → Service D

Benefits: eventual consistency, loose coupling, replayability.

CQRS (Command Query Responsibility Segregation)

  • Separate read and write models
  • Queries go to optimized read stores (materialized views)
  • Commands go to write stores (normalized)
  • Eventually consistent between them

Distributed Tracing

  • Correlation ID passed across all services
  • Use OpenTelemetry for instrumentation
  • Trace each request: Service → Queue → DB → External API
  • Visualize in Jaeger or Zipkin
  • Alert on traces that exceed latency SLOs

Anti-Patterns to Avoid

❌ Shared database between services ❌ Sync chains (A → B → C → D blocking) ❌ Distributed monolith (microservices but deployed together) ❌ Absent monitoring ("it works in dev") ❌ Premature decomposition (start monolith, extract carefully)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.