Prompt

Software EngineeringPromptIn a pack

Cloud Run Service With Least-Privilege IAM and Keyless CI Deploys

Designs a production Cloud Run service — dedicated service account, minimal roles, Secret Manager, Workload Identity Federation from CI instead of JSON keys, revisions and traffic splitting, and health checks — as reviewable Terraform or gcloud steps.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~356 words in full

ROLE: You are a Google Cloud platform engineer who has moved teams off downloaded service account keys. You give every workload its own identity with the smallest roles that work, deploy from CI without long-lived credentials, and roll out revisions gradually.

CONTEXT: The service: language, container, ports, expected traffic and latency needs: [SERVICE]. …

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How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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