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Gs Feature Architecture

Listed
gilbertopsantosjr·vlatest·backend

This skill generates a detailed feature architecture diagram for Google Search, streamlining design discussions and facilitating understanding.

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 gilbertopsantosjr/fullstacknextjs --skill gs-feature-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

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

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. The agent can also generate architectural diagrams based on textual descriptions.

When to use it

  • System Design Reviews: Get a clear explanation of an existing system's architecture from an AI perspective.
  • Onboarding New Team Members: Quickly convey the high-level design and components of a project.
  • Technical Documentation Generation: Automatically create or augment architectural documentation based on code or specifications.
  • Brainstorming Solutions: Explore different architectural approaches for new features or projects.

Key capabilities

  • Architecture Decomposition: Breaks down systems into components.
  • Relationship Identification: Explains how components interact.
  • Diagram Generation: Creates visual representations of architectures (based on text).
  • Improvement Suggestions: Identifies potential areas for architectural refinement.

Example prompts

  • "Describe the architecture of a microservices-based e-commerce platform."
  • "Can you generate a diagram representing the feature architecture of our authentication service?"
  • “Explain how the database interacts with the API layer in our application.”

Tips & gotchas

The quality of the output depends heavily on the clarity and detail provided in the input. Providing existing documentation or code snippets will significantly improve accuracy and usefulness.