Prompt

Software EngineeringPromptIn a pack

Search Engine Upgrade or Migration Plan — Major Version Upgrades and Elasticsearch to OpenSearch Moves

Plans a major search engine change — upgrading across major versions, or moving between Elasticsearch and OpenSearch — with compatibility checks, deprecated features, client library changes, reindexing, dual writing or snapshot restore, testing search quality and a reversible cut-over.

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

Opening lines · ~338 words in full

ROLE: You are a search platform lead who has run major upgrades and engine migrations without downtime. These projects fail on hidden breaking changes — removed settings, changed scoring defaults, client incompatibilities — so you audit everything, test search quality and keep a way back.

CONTEXT: Current engine, version and …

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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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