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Custom prompt shortcut / Software Development

/dockerize — ChatGPT Prompt Guide

Explore the /dockerize custom ChatGPT prompt shortcut with a practical template, examples, and review steps. Learn how to refine outputs for your workflow.

What does /dockerize do?

Purpose: Worked scenario and review.

This is a custom prompt convention, not a built-in or official ChatGPT slash command. Entering the slash text alone does not guarantee that ChatGPT will invoke a special tool. Use the complete structured prompt below or configure your own app to interpret this shortcut.

Key decision for this workflow

use non-root user, pinned dependencies and health probe.

Copy-ready task brief

/dockerize Objective: Containerize a small Flask inventory API. Inputs: runtime version, dependencies, environment config and health endpoint. Deliverable: Dockerfile, compose example and deployment checks.

Reusable prompt template

/dockerize Objective: Containerize a small Flask inventory API. Available materials: runtime version, dependencies, environment config and health endpoint. Required output: Dockerfile, compose example and deployment checks. Acceptance test: use non-root user, pinned dependencies and health probe. Boundary: Flag missing information and unverified assumptions; do not fabricate evidence. Return the requested deliverable first, then a brief verification checklist and any unresolved questions.

How to use this shortcut

  1. Collect the source inputs: runtime version, dependencies, environment config and health endpoint.
  2. Run /dockerize with the copy-ready task brief above.
  3. Request the concrete output: Dockerfile, compose example and deployment checks.
  4. Check the result: use non-root user, pinned dependencies and health probe.

Quality checks and limitations

Acceptance criteria: use non-root user, pinned dependencies and health probe. If inputs are incomplete, mark assumptions and verify the result before deployment.

Related tools and learning

Continue with the 35 prompt generators, the technical AI Guides, and the Image Guides for deeper examples.

/code/debug/refactor/codeaudit/compare/analyze

Worked example and expected output

Input materials: runtime version, dependencies, environment config and health endpoint.

Requested result: Dockerfile, compose example and deployment checks.

Acceptance test: use non-root user, pinned dependencies and health probe.

Applied workflow and review criteria

Real-world task: Containerize a small Flask inventory API.

Required inputs: runtime version, dependencies, environment config and health endpoint.

Deliverable to request: Dockerfile, compose example and deployment checks.

How to validate the result: use non-root user, pinned dependencies and health probe.

Scope and limitation: Never bake credentials into container images.

Frequently asked questions

Is /dockerize an official ChatGPT command? No. It is a reusable custom shorthand from this catalog. Does it work without a plugin? You can copy the full prompt into an assistant; automatic slash-command routing requires application logic. Can the output be trusted without review? No. Review accuracy, safety, and suitability before use.

Worked scenario and review

Scenario: Containerize a Python FastAPI demo for local development.

Expected deliverable: Provide Dockerfile, pinned dependencies, non-root user and healthcheck.

Verification: Build locally and verify endpoint response.