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System Design Generator

Checked
patricio0312rev·vlatest·utilities·MIT

Automatically generates basic system design diagrams and outlines based on user-provided functional requirements.

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 patricio0312rev/skills --skill system-design-generator -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

patricio0312rev

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 patricio0312rev/skills at 79ea6af485.

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

Commit
79ea6af485
Manifest
architecture/system-design-generator/SKILL.md
Scanned
1 file, 324 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 automatically generates basic system design diagrams and outlines based on user-provided functional requirements. It produces a structured document including an overview, detailed component descriptions (API Gateway, Upload Service, Storage (S3), Processing Queue, Processor Workers), data flow explanations, and a sample data model. The output is intended to provide a starting point for designing software systems.

When to use it

  • When you need a quick architectural outline for a new feature or product.
  • To visualize the components involved in a video upload and processing system.
  • As a basis for discussion and refinement of system design with your team.
  • For generating documentation related to system architecture.
  • To quickly understand the high-level design of a video processing pipeline.

Key capabilities

  • Generates diagrams illustrating system components and data flow.
  • Provides descriptions of component responsibilities, technologies used, and scaling strategies.
  • Outlines API endpoints for services like the Upload Service.
  • Defines storage structures within S3.
  • Includes a sample TypeScript data model for Upload and ProcessingJob.

Example prompts

  • "Generate a system design for a video upload service."
  • "Create an architecture diagram for handling user-uploaded videos, including processing and notifications."
  • "Design a system to process videos, handle 1000 uploads per day, and ensure high availability."

Tips & gotchas

  • The generated designs are basic outlines; further refinement is likely needed.
  • The skill assumes familiarity with technologies like Kong/AWS API Gateway, Node.js, Express, AWS SQS, Python, FFmpeg, and S3.
  • The output focuses on the architectural aspects of a video processing system as described in the provided example.