Microservices Architect
CheckedDesigns 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
Run this in your project
terminal$ npx skills add jeffallan/claude-skills --skill microservices-architect -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
jeffallan
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
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.
- Commit
- 1be15d8064
- Scanned
- 6 files, 2,873 lines
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.