MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

C4 Container

C4 Container is an data AI skill with a core value of |. It helps developers solve real-world problems in the data domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

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Last verified on: 2026-07-08

Quick Facts

Category data
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-08
Risk Level Low
mkdir -p ./skills/c4-container && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/c4-container/SKILL.md -o ./skills/c4-container/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# C4 Container Level: System Deployment


Use this skill when


- Working on c4 container level: system deployment tasks or workflows

- Needing guidance, best practices, or checklists for c4 container level: system deployment


Do not use this skill when


- The task is unrelated to c4 container level: system deployment

- You need a different domain or tool outside this scope


Instructions


- Clarify goals, constraints, and required inputs.

- Apply relevant best practices and validate outcomes.

- Provide actionable steps and verification.

- If detailed examples are required, open `resources/implementation-playbook.md`.


Containers


[Container Name]


- **Name**: [Container name]

- **Description**: [Short description of container purpose and deployment]

- **Type**: [Web Application, API, Database, Message Queue, etc.]

- **Technology**: [Primary technologies: Node.js, Python, PostgreSQL, Redis, etc.]

- **Deployment**: [Docker, Kubernetes, Cloud Service, etc.]


Purpose


[Detailed description of what this container does and how it's deployed]


Components


This container deploys the following components:


- [Component Name]: [Description]

- Documentation: c4-component-name.md


Interfaces


[API/Interface Name]


- **Protocol**: [REST/GraphQL/gRPC/Events/etc.]

- **Description**: [What this interface provides]

- **Specification**: [Link to OpenAPI/Swagger/API Spec file]

- **Endpoints**:

- `GET /api/resource` - [Description]

- `POST /api/resource` - [Description]


Dependencies


Containers Used


- [Container Name]: [How it's used, communication protocol]


External Systems


- [External System]: [How it's used, integration type]


Infrastructure


- **Deployment Config**: [Link to Dockerfile, K8s manifest, etc.]

- **Scaling**: [Horizontal/vertical scaling strategy]

- **Resources**: [CPU, memory, storage requirements]


Container Diagram


Use proper Mermaid C4Container syntax:


mermaid
C4Container
    title Container Diagram for [System Name]

    Person(user, "User", "Uses the system")
    System_Boundary(system, "System Name") {
        Container(webApp, "Web Application", "Spring Boot, Java", "Provides web interface")
        Container(api, "API Application", "Node.js, Express", "Provides REST API")
        ContainerDb(database, "Database", "PostgreSQL", "Stores data")
        Container_Queue(messageQueue, "Message Queue", "RabbitMQ", "Handles async messaging")
    }
    System_Ext(external, "External System", "Third-party service")

    Rel(user, webApp, "Uses", "HTTPS")
    Rel(webApp, api, "Makes API calls to", "JSON/HTTPS")
    Rel(api, database, "Reads from and writes to", "SQL")
    Rel(api, messageQueue, "Publishes messages to")
    Rel(api, external, "Uses", "API")
text

**Key Principles** (from [c4model.com](https://c4model.com/diagrams/container)):

- Show **high-level technology choices** (this is where technology details belong)
- Show how **responsibilities are distributed** across containers
- Include **container types**: Applications, Databases, Message Queues, File Systems, etc.
- Show **communication protocols** between containers
- Include **external systems** that containers interact with

API Specification Template


For each container API, create an OpenAPI/Swagger specification:


yaml
openapi: 3.1.0
info:
  title: [Container Name] API
  description: [API description]
  version: 1.0.0
servers:
  - url: https://api.example.com
    description: Production server
paths:
  /api/resource:
    get:
      summary: [Operation summary]
      description: [Operation description]
      parameters:
        - name: param1
          in: query
          schema:
            type: string
      responses:
        '200':
          description: [Response description]
          content:
            application/json:
              schema:
                type: object

Example Interactions


- "Synthesize all components into containers based on deployment definitions"

- "

🎯 Best For

  • Claude users
  • Data professionals
  • Analytics teams
  • Researchers

💡 Use Cases

  • Data pipeline auditing
  • Query optimization

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply C4 Container to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

How do I install C4 Container?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/c4-container/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Ignoring data quality

AI analysis inherits all data quality issues — profile your data first.

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