microservices-architect
Designs distributed system architectures, decomposes monoliths into bounded-context services, recommends communication patterns, and produces service boundary diagrams and resilience strategies.
Source: Jeffallan
At a glance
- Best for
- Development
- Works with
- Claude Code
- Outcome
- Designs distributed system architectures, decomposes monoliths into bounded-context services, recommends communication patterns, and produces service boundary diagrams and resilience strategies.
- Source
- Jeffallan/claude-skills
01 / Understand the skill
About microservices-architect
Designs distributed system architectures, decomposes monoliths into bounded-context services, recommends communication patterns, and produces service boundary diagrams and resilience strategies. Use when designing distributed systems, decomposing monoliths, or implementing microservices patterns — including service boundaries, DDD, saga patterns, event sourcing, CQRS, service mesh, or distributed tracing.
Requirements
- A concrete system/domain brief; runtime examples require their own Node/Python/Kubernetes dependencies and must be adapted to the target system.
- Preserve the Skill directory and bundled references; compatibility is recorded as Compatible, not runtime Verified.
Check before installing
Compatible platforms
Claude Code
Best fit
Development
Review the source instructions if the required output differs from the formats described above.
Install and use
Compatible with Claude Code · Published by Jeffallan
Ready to add microservices-architect?
Use the published instructions below, then provide the required input and describe the result you need.
General instructions · Claude Code
npx -y skills add Jeffallan/claude-skills --skill microservices-architect --agent claude-code
Review the source repository and license before installing third-party skills.
Continue exploring
Similar skills
Authoritative reference for the Claude API and Anthropic SDKs: model IDs, pricing, thinking/effort params, streaming, tool use, caching, managed agents, and model migration.
Read, edit, create, and fix Excel/CSV files — formulas, formatting, charts, and clean financial models with zero formula errors.
Generate distinctive, production-grade frontend UI that avoids generic AI aesthetics — pages, components, dashboards, and landing pages.
Build high-quality MCP (Model Context Protocol) servers in Python (FastMCP) or Node/TypeScript that let LLMs use external services through well-designed tools.

