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Microservices Architecture

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peterbamuhigire
microservices-architecture

Use when designing, reviewing, or refactoring microservice boundaries, communication, service ownership, deployment independence, resilience, and distributed data flows. Load absorbed microservices fundamentals, models, communication, and resilience references as needed.

Overview

Publisherpeterbamuhigire
Repositorychwezi-dev-engine
Skill namemicroservices-architecture
Stars
29
Forks
6
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by peterbamuhigire on GitHub. Read the source before you install it.

Installation

Install the Microservices Architecture AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/peterbamuhigire/chwezi-dev-engine/tree/main/skills/architecture/microservices-architecture
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/peterbamuhigire/chwezi-dev-engine.git /tmp/chwezi-dev-engine
mkdir -p .claude/skills
cp -r /tmp/chwezi-dev-engine/skills/architecture/microservices-architecture .claude/skills/microservices-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Microservices Architecture in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Microservices Architecture on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Microservices Architecture is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Microservices Architecture

Acknowledgement: Shared by Peter Bamuhigire, techguypeter.com, +256 784 464178.

Use this parent skill as the active microservices entrypoint. It should help decide whether microservices are justified, then shape service boundaries and operating contracts when they are.

Use When

  • Defining service boundaries, ownership, API contracts, data ownership, deployment independence, or migration from a monolith.
  • Reviewing synchronous and asynchronous service communication, reliability, retries, idempotency, and failure isolation.
  • Creating a target architecture for teams that need multiple independently deployable backend services.

Do Not Use When

  • The task is unrelated to this parent skill or is better handled by a narrower active parent named in the workflow.
  • The request only needs a trivial answer and no reference module needs to be loaded.

Required Inputs

  • Gather the concrete system, repository, environment, constraints, and deliverable before loading references.
  • Identify which absorbed reference file is needed; do not load every migrated reference by default.

Workflow

  1. Start with system-architecture-design and distributed-systems-patterns for context, constraints, and failure modes.
  2. Load only the needed reference:
    • references/microservices-fundamentals.md for core principles and when not to split.
    • references/microservices-architecture-models.md for decomposition and ownership models.
    • references/microservices-communication.md for API, event, queue, and contract patterns.
    • references/microservices-resilience.md for retries, circuit breakers, idempotency, and graceful degradation.
  3. Pair with api-design-first, database-design-engineering, deployment-release-engineering, and observability-monitoring for implementation contracts.

Quality Standards

  • Do not split services without a clear ownership, deployment, data, and reliability reason.
  • Every service boundary must define source of truth, API contract, failure mode, observability, and rollback path.
  • Prefer fewer services until team topology, data ownership, and release cadence justify more.

Anti-Patterns

  • Treating absorbed reference files as active skills or separate routing entrypoints.
  • Loading every migrated child reference instead of the one that matches the task.
  • Producing generic advice without constraints, evidence, or next verification steps.

Outputs

  • Service map, boundary decision, API/event contract notes, migration plan, or architecture review.

References

  • Load only the references/.md files named in the workflow when their depth is required.

Evidence Produced

CategoryArtifactFormatExample
CorrectnessService-boundary and dependency decision recordMarkdown/diagramcapability owner, data authority, contract, failure mode, coupling, and rollback

Inputs

InputRequiredPurpose
Domain capabilities and ownershipyesDraw boundaries
Workload and availability targetsyesSet communication tradeoffs
Data ownership and change constraintsyesPlan migration

Capability contract

Recommend boundaries and migration sequences by default. Do not split repositories, databases, deployments, or production traffic without explicit change authority.

Degraded mode

If ownership or runtime evidence is unavailable, provide a read-only candidate map and retain a modular monolith as the default.

Decision rules

ConditionAction
Independent scale or ownership absentKeep a module
Cross-service transaction requiredRedesign or specify a saga
Extraction lacks rollbackBlock migration

Domain Anti-Patterns

  • Splitting by technical layer. Fix: split by business capability.
  • Sharing tables between services. Fix: assign one data owner.
  • Building long synchronous chains. Fix: shorten or decouple them.
  • Treating a broker as transaction magic. Fix: define compensation.
  • Creating services without owners. Fix: record ownership first.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Microservices Architecture AI skill do?

Use when designing, reviewing, or refactoring microservice boundaries, communication, service ownership, deployment independence, resilience, and distributed data flows. Load absorbed microservices fundamentals, models, communication, and resilience references as needed.

Why use Microservices Architecture on TypingMind?

Because you install it once and use it with any model. Microservices Architecture is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Microservices Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/peterbamuhigire/chwezi-dev-engine/tree/main/skills/architecture/microservices-architecture. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Microservices Architecture?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Microservices Architecture?

As many as you like. As long as a model supports skills, you can use Microservices Architecture with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Microservices Architecture AI skill free?

Yes. It is published on GitHub by peterbamuhigire under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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