Feature Architecture

Name: Feature Architecture
Author: gilbertopsantosjr

Listed

gilbertopsantosjr·vlatest·backend

This skill generates diverse architectural patterns for features, accelerating development and promoting flexible system design.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it gs-feature-architecture, not the name it is listed under, so the command below uses that name.

Run this in your project

terminal

$ npx skills add gilbertopsantosjr/fullstacknextjs --skill gs-feature-architecture -a claude-code

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

gilbertopsantosjr

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 2 Oct 2026

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

Declares what it does: failed
No SKILL.md was found in the skill's directory.
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 gilbertopsantosjr/fullstacknextjs at 2974a1a5d1.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: 2974a1a5d1
Manifest: skills/gs-feature-architecture/SKILL.md
Scanned: 0 files

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 allows AI agents to analyze and describe software feature architectures. It can break down complex systems into their constituent parts, explain the relationships between them, and identify potential areas for improvement or optimization. The agent can also generate architectural diagrams based on textual descriptions.

When to use it

System Design Reviews: Have the AI agent assess a proposed architecture and highlight potential risks or inefficiencies.
Technical Documentation: Generate clear and concise documentation explaining existing system architectures for new team members.
Codebase Understanding: Help developers quickly grasp the overall structure of a large codebase by providing architectural overviews.
Refactoring Planning: Identify dependencies and impact areas before undertaking significant code refactorings.

Key capabilities

Architecture Diagram Generation (text-based)
Component Relationship Analysis
System Breakdown & Explanation
Risk Identification within Architectures

Example prompts

"Describe the architecture of a microservices-based e-commerce platform."
"Can you generate a diagram outlining the key components and data flow in this system: [paste description]?"
“What are potential bottlenecks in this application’s architecture? [paste architectural overview]"

Tips & gotchas

The quality of the output depends heavily on the clarity and detail provided in the input. Providing existing documentation or diagrams will significantly improve the agent's ability to accurately analyze and describe the feature architecture.