c4-container

sickn33/antigravity-awesome-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill c4-container
0 commentsdiscussion
summary

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

skill.md

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:

    • 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:

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")

**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:

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"
  • "Map the API components to containers and document their APIs as OpenAPI specs"
  • "Create container-level documentation for the microservices architecture"
  • "Document container interfaces as Swagger/OpenAPI specifications"
  • "Analyze Kubernetes manifests and create container documentation"

Key Distinctions

  • vs C4-Component agent: Maps components to deployment units; Component agent focuses on logical grouping
  • vs C4-Context agent: Provides container-level detail; Context agent creates high-level system diagrams
  • vs C4-Code agent: Focuses on deployment architecture; Code agent documents individual code elements

Output Examples

When synthesizing containers, provide:

  • Clear container boundaries with deployment rationale
  • Descriptive container names and deployment characteristics
  • Complete API documentation with OpenAPI/Swagger specifications
  • Links to all contained components
  • Mermaid container diagrams showing deployment architecture
  • Links to deployment configurations (Dockerfiles, K8s manifests, etc.)
  • Infrastructure requirements and scaling considerations
  • Consistent documentation format across all containers
how to use c4-container

How to use c4-container on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add c4-container
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill c4-container

The skills CLI fetches c4-container from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/c4-container

Reload or restart Cursor to activate c4-container. Access the skill through slash commands (e.g., /c4-container) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.646 reviews
  • Chinedu Anderson· Dec 24, 2024

    We added c4-container from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Diego Farah· Dec 24, 2024

    Keeps context tight: c4-container is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chinedu Tandon· Dec 16, 2024

    c4-container has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Dhruvi Jain· Dec 8, 2024

    c4-container reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ama Flores· Dec 8, 2024

    c4-container fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Oshnikdeep· Nov 27, 2024

    I recommend c4-container for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Chinedu Iyer· Nov 27, 2024

    c4-container is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Chinedu Jain· Nov 15, 2024

    Keeps context tight: c4-container is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakura Kim· Nov 15, 2024

    Solid pick for teams standardizing on skills: c4-container is focused, and the summary matches what you get after install.

  • Ganesh Mohane· Oct 18, 2024

    Useful defaults in c4-container — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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