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C4 Architecture

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softaworks·vlatest·backend·MIT

C4 Architecture generates a detailed architectural diagram from code, instantly visualizing your project's structure and improving 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 softaworks/agent-toolkit --skill c4-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

softaworks

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Install target

Live repository

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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

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned softaworks/agent-toolkit at 3027f20f31.

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

Commit
3027f20f31
Manifest
skills/c4-architecture/SKILL.md
Scanned
5 files, 1,775 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

The c4-architecture skill enables AI agents to analyze and model software architecture using the C4 model, which includes Context, Containers, Components, and Code levels. It helps users visualize system structures, identify dependencies, and generate architectural diagrams or documentation based on input requirements.

When to use it

  • When designing a new software system and needing to document its structure at multiple abstraction levels.
  • When reviewing an existing architecture for clarity or scalability improvements.
  • During team collaboration sessions to align stakeholders on the technical vision of a project.
  • When preparing architectural documentation for audits, presentations, or handovers.

Key capabilities

  • Generates C4 model diagrams (Context, Containers, Components, Code).
  • Parses natural language descriptions into structured architecture models.
  • Supports export of architecture models in common formats like UML or JSON.
  • Integrates with codebases to extract component-level details automatically.

Example prompts

  • "Create a C4 architecture diagram for a microservices-based e-commerce platform."
  • "Generate the Context and Containers level of the system described in this document."
  • "Export the Component model of our current application as a JSON file."

Tips & gotchas

  • Ensure input descriptions are clear and detailed to get accurate architectural outputs.
  • This skill works best with systems that have well-defined boundaries and modular components.