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Designing Architecture

Checked
cloudai-x·vlatest·backend·MIT

This skill generates architectural designs based on your prompts, offering a quick and creative starting point for projects.

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 cloudai-x/claude-workflow-v2 --skill designing-architecture -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

cloudai-x

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 cloudai-x/claude-workflow-v2 at 4c242af16f.

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

Commit
4c242af16f
Manifest
skills/designing-architecture/SKILL.md
Scanned
1 file, 210 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 helps AI agents generate architectural designs for software projects. It provides a starting point by suggesting appropriate architecture patterns and directory structures based on project size, team capabilities, and other factors. The tool guides through a structured design process, including understanding requirements, assessing project scope, selecting patterns, defining structure, documenting decisions, and validating against established frameworks.

When to use it

This skill is useful in the following scenarios:

  • Starting a new software project requiring architectural planning.
  • Designing module structures for existing projects.
  • Choosing appropriate architecture patterns (e.g., MVC/Layered, Clean Architecture, Microservices).
  • Defining directory structures for codebases.
  • When needing guidance on trade-offs and decision making in architectural design.

Key capabilities

  • Suggests architecture patterns based on project size (Small, Medium, Large) and team size (1-3 developers, 4-10 developers, 10+ developers).
  • Provides examples of common architectural patterns: Layered Architecture, Clean Architecture, Hexagonal Architecture (Ports & Adapters), Event-Driven Architecture, and CQRS.
  • Offers a recommended feature-based directory structure pattern for medium to large projects.
  • Includes a checklist to guide the architecture design workflow.

Example prompts

  • "Suggest an architecture pattern for a small project with a team of 2 developers."
  • "What's a good directory structure for a medium-sized application?"
  • "Explain the benefits and drawbacks of Clean Architecture compared to Layered Architecture."
  • “I need to design a system that needs to swap external dependencies easily. What architecture pattern should I consider?”

Tips & gotchas

  • The skill is intended as a starting point, not a complete solution. Further refinement and customization will likely be needed.
  • Consider the trade-offs associated with each suggested pattern before implementation.
  • Project size is defined by lines of code (<10K LOC, 10K-100K LOC, >100K LOC).