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Code Architecture Review

Checked
omer-metin·vlatest·backend·Apache-2.0

Analyzes backend codebases for architectural flaws, suggesting improvements to scalability, maintainability, and security.

Repository

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 omer-metin/skills-for-antigravity --skill code-architecture-review -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

omer-metin

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 omer-metin/skills-for-antigravity at e8dcf4e873.

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

Commit
e8dcf4e873
Manifest
skills/code-architecture-review/SKILL.md
Scanned
4 files, 1,037 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

The code-architecture-review skill enables AI agents to analyze software designs, identify structural flaws, and suggest improvements for backend systems. It focuses on evaluating scalability, maintainability, and adherence to best practices within complex codebases.

When to use it

  • Before deploying a new microservice architecture to ensure components are loosely coupled.
  • During code refactoring phases to verify that changes do not introduce technical debt.
  • When integrating third-party libraries to assess potential security or dependency risks.
  • To validate system design documents against actual implementation constraints.

Key capabilities

  • Analyzes code structure for scalability and performance bottlenecks.
  • Identifies anti-patterns and suggests architectural refactoring strategies.
  • Evaluates adherence to industry-standard design principles like SOLID or DRY.
  • Reviews database schemas and API designs for consistency and efficiency.

Example prompts

  • "Review the attached microservice architecture diagram and code snippets for potential single points of failure."
  • "Analyze this backend module for scalability issues as user traffic increases tenfold."
  • "Identify any architectural anti-patterns in the current database schema and propose a normalized alternative."

Tips & gotchas

Ensure you provide sufficient context, such as system requirements or specific constraints, to get relevant feedback. This skill is designed for high-level structural analysis rather than line-by-line syntax checking.