C4 Container

C4 Container Level: System Deployment

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/c4-container from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

C4 Container Level: System Deployment

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Containers, Purpose, Components, Interfaces, Dependencies, Infrastructure.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• Working on c4 container level: system deployment tasks or workflows
• Needing guidance, best practices, or checklists for c4 container level: system deployment
• The task is unrelated to c4 container level: system deployment
• You need a different domain or tool outside this scope
• Use when the request clearly matches the imported source intent: Expert C4 Container-level documentation specialist.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.

Operating Table

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Clarify goals, constraints, and required inputs.
2. Apply relevant best practices and validate outcomes.
3. Provide actionable steps and verification.
4. If detailed examples are required, open resources/implementation-playbook.md.
5. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
6. Read the overview and provenance files before loading any copied upstream support files.
7. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.

Imported Workflow Notes

Imported: 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.

Imported: 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.]

Examples

Example 1: Ask for the upstream workflow directly

Use @c4-container to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @c4-container against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @c4-container for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @c4-container using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Imported Usage Notes

Imported: 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"

Imported: 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

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/c4-container, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Imported Reference Notes

Imported: Purpose

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

Imported: Components

This container deploys the following components:

• • Documentation: c4-component-name.md

Imported: 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]

Imported: Dependencies

Containers Used

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

External Systems

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

Imported: Infrastructure

• Deployment Config: [Link to Dockerfile, K8s manifest, etc.]
• Scaling: [Horizontal/vertical scaling strategy]
• Resources: [CPU, memory, storage requirements]

Imported: 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

Imported: 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

Imported: 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

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.