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Microservices Architect

Checked
jeffallan·vlatest·backend·MIT

Designs scalable microservice architectures, defining APIs, data models, and deployment strategies based on provided requirements.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeffallan/claude-skills --skill microservices-architect -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeffallan

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned jeffallan/claude-skills at 1be15d8064.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
6 files, 2,873 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to design and analyze microservice architectures. It can help decompose monolithic applications into smaller, independently deployable services, considering factors like scalability, fault isolation, and team autonomy. The agent can also evaluate existing microservice setups for potential improvements or bottlenecks.

When to use it

  • Breaking down a monolith: You have a large, complex application that's difficult to maintain and scale.
  • Designing new applications: You want to build a system from the ground up using a microservices approach.
  • Troubleshooting performance issues: Your existing microservice architecture is experiencing slowdowns or instability.
  • Evaluating architectural choices: You need an expert opinion on whether a microservices architecture is appropriate for a given project.

Key capabilities

  • Microservice decomposition strategies
  • API design and management considerations
  • Scalability and fault tolerance patterns
  • Team autonomy and service ownership models

Example prompts

  • "I have a monolithic e-commerce application. Can you suggest how to break it down into microservices?"
  • “Evaluate this existing microservice architecture for potential bottlenecks and areas of improvement.”
  • "What are the trade-offs between using a microservices architecture versus a serverless approach for a new mobile app backend?"

Tips & gotchas

The agent's output is based on established architectural patterns. It assumes a reasonable understanding of distributed systems concepts; providing context about your specific environment will improve results.