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c4-container
Expert C4 Container-level documentation specialist.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Stars
25,417
Hot score
99
Updated
March 20, 2026
Overall rating
C4.0
Composite score
4.0
Best-practice grade
B81.2
Install command
npx @skill-hub/cli install sickn33-antigravity-awesome-skills-c4-container
Repository
sickn33/antigravity-awesome-skills
Skill path: skills/c4-container
Expert C4 Container-level documentation specialist.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: sickn33.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install c4-container into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/sickn33/antigravity-awesome-skills before adding c4-container to shared team environments
- Use c4-container for development workflows
Works across
Claude CodeCodex CLIGemini CLIOpenCode
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: c4-container
description: Expert C4 Container-level documentation specialist.
risk: unknown
source: community
date_added: '2026-02-27'
---
# 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")
```
````
**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"
- "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