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C4 Architecture

OrganizationPopular
softaworks
c4-architecture

Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".

Overview

Publishersoftaworks
Repositoryagent-toolkit
Skill namec4-architecture
Stars
2.5K
Forks
226
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by softaworks on GitHub. Read the source before you install it.

Installation

Install the C4 Architecture AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/softaworks/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/c4-architecture .claude/skills/c4-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable C4 Architecture in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads C4 Architecture on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so C4 Architecture is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

C4 Architecture Documentation

Generate software architecture documentation using C4 model diagrams in Mermaid syntax.

Workflow

  1. Understand scope - Determine which C4 level(s) are needed based on audience
  2. Analyze codebase - Explore the system to identify components, containers, and relationships
  3. Generate diagrams - Create Mermaid C4 diagrams at appropriate abstraction levels
  4. Document - Write diagrams to markdown files with explanatory context

C4 Diagram Levels

Select the appropriate level based on the documentation need:

LevelDiagram TypeAudienceShowsWhen to Create
1C4ContextEveryoneSystem + external actorsAlways (required)
2C4ContainerTechnicalApps, databases, servicesAlways (required)
3C4ComponentDevelopersInternal componentsOnly if adds value
4C4DeploymentDevOpsInfrastructure nodesFor production systems
-C4DynamicTechnicalRequest flows (numbered)For complex workflows

Key Insight: "Context + Container diagrams are sufficient for most software development teams." Only create Component/Code diagrams when they genuinely add value.

Quick Start Examples

System Context (Level 1)

mermaid
C4Context
  title System Context - Workout Tracker

  Person(user, "User", "Tracks workouts and exercises")
  System(app, "Workout Tracker", "Vue PWA for tracking strength and CrossFit workouts")
  System_Ext(browser, "Web Browser", "Stores data in IndexedDB")

  Rel(user, app, "Uses")
  Rel(app, browser, "Persists data to", "IndexedDB")

Container Diagram (Level 2)

mermaid
C4Container
  title Container Diagram - Workout Tracker

  Person(user, "User", "Tracks workouts")

  Container_Boundary(app, "Workout Tracker PWA") {
    Container(spa, "SPA", "Vue 3, TypeScript", "Single-page application")
    Container(pinia, "State Management", "Pinia", "Manages application state")
    ContainerDb(indexeddb, "IndexedDB", "Dexie", "Local workout storage")
  }

  Rel(user, spa, "Uses")
  Rel(spa, pinia, "Reads/writes state")
  Rel(pinia, indexeddb, "Persists", "Dexie ORM")

Component Diagram (Level 3)

mermaid
C4Component
  title Component Diagram - Workout Feature

  Container(views, "Views", "Vue Router pages")

  Container_Boundary(workout, "Workout Feature") {
    Component(useWorkout, "useWorkout", "Composable", "Workout execution state")
    Component(useTimer, "useTimer", "Composable", "Timer state machine")
    Component(workoutRepo, "WorkoutRepository", "Dexie", "Workout persistence")
  }

  Rel(views, useWorkout, "Uses")
  Rel(useWorkout, useTimer, "Controls")
  Rel(useWorkout, workoutRepo, "Saves to")

Dynamic Diagram (Request Flow)

mermaid
C4Dynamic
  title Dynamic Diagram - User Sign In Flow

  ContainerDb(db, "Database", "PostgreSQL", "User credentials")
  Container(spa, "Single-Page App", "React", "Banking UI")

  Container_Boundary(api, "API Application") {
    Component(signIn, "Sign In Controller", "Express", "Auth endpoint")
    Component(security, "Security Service", "JWT", "Validates credentials")
  }

  Rel(spa, signIn, "1. Submit credentials", "JSON/HTTPS")
  Rel(signIn, security, "2. Validate")
  Rel(security, db, "3. Query user", "SQL")

  UpdateRelStyle(spa, signIn, $textColor="blue", $offsetY="-30")

Deployment Diagram

mermaid
C4Deployment
  title Deployment Diagram - Production

  Deployment_Node(browser, "Customer Browser", "Chrome/Firefox") {
    Container(spa, "SPA", "React", "Web application")
  }

  Deployment_Node(aws, "AWS Cloud", "us-east-1") {
    Deployment_Node(ecs, "ECS Cluster", "Fargate") {
      Container(api, "API Service", "Node.js", "REST API")
    }
    Deployment_Node(rds, "RDS", "db.r5.large") {
      ContainerDb(db, "Database", "PostgreSQL", "Application data")
    }
  }

  Rel(spa, api, "API calls", "HTTPS")
  Rel(api, db, "Reads/writes", "JDBC")

Element Syntax

People and Systems

Person(alias, "Label", "Description")
Person_Ext(alias, "Label", "Description")       # External person
System(alias, "Label", "Description")
System_Ext(alias, "Label", "Description")       # External system
SystemDb(alias, "Label", "Description")         # Database system
SystemQueue(alias, "Label", "Description")      # Queue system

Containers

Container(alias, "Label", "Technology", "Description")
Container_Ext(alias, "Label", "Technology", "Description")
ContainerDb(alias, "Label", "Technology", "Description")
ContainerQueue(alias, "Label", "Technology", "Description")

Components

Component(alias, "Label", "Technology", "Description")
Component_Ext(alias, "Label", "Technology", "Description")
ComponentDb(alias, "Label", "Technology", "Description")

Boundaries

Enterprise_Boundary(alias, "Label") { ... }
System_Boundary(alias, "Label") { ... }
Container_Boundary(alias, "Label") { ... }
Boundary(alias, "Label", "type") { ... }

Relationships

Rel(from, to, "Label")
Rel(from, to, "Label", "Technology")
BiRel(from, to, "Label")                        # Bidirectional
Rel_U(from, to, "Label")                        # Upward
Rel_D(from, to, "Label")                        # Downward
Rel_L(from, to, "Label")                        # Leftward
Rel_R(from, to, "Label")                        # Rightward

Deployment Nodes

Deployment_Node(alias, "Label", "Type", "Description") { ... }
Node(alias, "Label", "Type", "Description") { ... }  # Shorthand

Styling and Layout

Layout Configuration

UpdateLayoutConfig($c4ShapeInRow="3", $c4BoundaryInRow="1")
  • $c4ShapeInRow - Number of shapes per row (default: 4)
  • $c4BoundaryInRow - Number of boundaries per row (default: 2)

Element Styling

UpdateElementStyle(alias, $fontColor="red", $bgColor="grey", $borderColor="red")

Relationship Styling

UpdateRelStyle(from, to, $textColor="blue", $lineColor="blue", $offsetX="5", $offsetY="-10")

Use $offsetX and $offsetY to fix overlapping relationship labels.

Best Practices

Essential Rules

  1. Every element must have: Name, Type, Technology (where applicable), and Description
  2. Use unidirectional arrows only - Bidirectional arrows create ambiguity
  3. Label arrows with action verbs - "Sends email using", "Reads from", not just "uses"
  4. Include technology labels - "JSON/HTTPS", "JDBC", "gRPC"
  5. Stay under 20 elements per diagram - Split complex systems into multiple diagrams

Clarity Guidelines

  1. Start at Level 1 - Context diagrams help frame the system scope
  2. One diagram per file - Keep diagrams focused on a single abstraction level
  3. Meaningful aliases - Use descriptive aliases (e.g., orderService not s1)
  4. Concise descriptions - Keep descriptions under 50 characters when possible
  5. Always include a title - "System Context diagram for [System Name]"

What to Avoid

See references/common-mistakes.md for detailed anti-patterns:

  • Confusing containers (deployable) vs components (non-deployable)
  • Modeling shared libraries as containers
  • Showing message brokers as single containers instead of individual topics
  • Adding undefined abstraction levels like "subcomponents"
  • Removing type labels to "simplify" diagrams

Microservices Guidelines

Single Team Ownership

Model each microservice as a container (or container group):

mermaid
C4Container
  title Microservices - Single Team

  System_Boundary(platform, "E-commerce Platform") {
    Container(orderApi, "Order Service", "Spring Boot", "Order processing")
    ContainerDb(orderDb, "Order DB", "PostgreSQL", "Order data")
    Container(inventoryApi, "Inventory Service", "Node.js", "Stock management")
    ContainerDb(inventoryDb, "Inventory DB", "MongoDB", "Stock data")
  }

Multi-Team Ownership

Promote microservices to software systems when owned by separate teams:

mermaid
C4Context
  title Microservices - Multi-Team

  Person(customer, "Customer", "Places orders")
  System(orderSystem, "Order System", "Team Alpha")
  System(inventorySystem, "Inventory System", "Team Beta")
  System(paymentSystem, "Payment System", "Team Gamma")

  Rel(customer, orderSystem, "Places orders")
  Rel(orderSystem, inventorySystem, "Checks stock")
  Rel(orderSystem, paymentSystem, "Processes payment")

Event-Driven Architecture

Show individual topics/queues as containers, NOT a single "Kafka" box:

mermaid
C4Container
  title Event-Driven Architecture

  Container(orderService, "Order Service", "Java", "Creates orders")
  Container(stockService, "Stock Service", "Java", "Manages inventory")
  ContainerQueue(orderTopic, "order.created", "Kafka", "Order events")
  ContainerQueue(stockTopic, "stock.reserved", "Kafka", "Stock events")

  Rel(orderService, orderTopic, "Publishes to")
  Rel(stockService, orderTopic, "Subscribes to")
  Rel(stockService, stockTopic, "Publishes to")
  Rel(orderService, stockTopic, "Subscribes to")

Output Location

Write architecture documentation to docs/architecture/ with naming convention:

  • c4-context.md - System context diagram
  • c4-containers.md - Container diagram
  • c4-components-{feature}.md - Component diagrams per feature
  • c4-deployment.md - Deployment diagram
  • c4-dynamic-{flow}.md - Dynamic diagrams for specific flows

Audience-Appropriate Detail

AudienceRecommended Diagrams
ExecutivesSystem Context only
Product ManagersContext + Container
ArchitectsContext + Container + key Components
DevelopersAll levels as needed
DevOpsContainer + Deployment

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the C4 Architecture AI skill do?

Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".

Why use C4 Architecture on TypingMind?

Because you install it once and use it with any model. C4 Architecture is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install C4 Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/softaworks/agent-toolkit/tree/main/skills/c4-architecture. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use C4 Architecture?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with C4 Architecture?

As many as you like. As long as a model supports skills, you can use C4 Architecture with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the C4 Architecture AI skill free?

Yes. It is published on GitHub by softaworks under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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