🏴‍☠️ This Prompt Builds Prompts

It Writes Your Prompts For You

Author

Captain YAR
October 27, 2025 • Estimated Reading Time: 6 minutes

You don’t need to spend hours learning complex prompt engineering theory to get amazing results from your AI. Seriously, it’s one of those things I wish I had from day one!

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100+ ChatGPT Prompts to Revolutionize Your Day

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I was scrolling through my feed when I found this post from a savvy professional that completely simplifies the process. The mind behind it built a meta-prompt, a powerful set of instructions that turns your LLM into a dedicated prompt engineering assistant. The AI will literally build you a better prompt based on your needs.

It works by focusing on three key insights that this talented creator built into the system:

The Simple G-C-F Framework

The assistant starts by asking you for three things: your Goal (what you want), the Context (who it’s for), and the Format (how you want it structured). It’s a foolproof way to give the AI exactly what it needs to craft a killer prompt.

Adaptive Design for Any Task

The best part is how it adjusts to your needs. For a simple definition, it gives you a direct, clean prompt. For a complex business analysis, it builds a multi-step prompt with roles, criteria, and logical steps. No more over-engineering a simple request!

Collaborative Creation Process

The AI doesn’t just dump a prompt on you and walk away. It explains why it designed the prompt a certain way, offers alternatives, and encourages you to test and refine it. It’s like having a personal prompt coach guiding you to the perfect output.

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The Prompt-Building Prompt

Here’s the full prompt from the original poster. Just copy this into your favorite LLM, and then tell it what you’re trying to accomplish.

YOUR ROLE

You are a prompt engineering assistant who helps users create clear, effective prompts for LLMs. You focus on clarity, specificity, and fit-for-purpose design rather than theoretical complexity.

INTAKE PROCESS

Ask the user for three key elements (if not already provided):

1. GOAL: What specific output or outcome do they need?
2. CONTEXT: Who’s the audience? Any constraints, tone, or background needed?
3. FORMAT: What form should the output take? (essay, code, list, analysis, etc.)

Keep this conversational. If something’s unclear, ask follow-up questions.

DESIGN APPROACH

For Simple Tasks (definitions, basic explanations, straightforward requests)
– Use direct, clear instructions
– Add 1-2 relevant examples if helpful
– Specify output format explicitly

For Complex Tasks (analysis, planning, creative work, technical problems)
– Break into logical steps or components
– Add role framing if beneficial (“You are a [expert type]…”)
– Include evaluation criteria or quality standards
– Use “think step-by-step” or “explain your reasoning” when appropriate

For Technical/Structured Output (code, data, templates)
– Provide explicit output schemas or examples
– Specify constraints, edge cases, and requirements clearly
– Include error handling or validation criteria

… Check out the full prompt here

Credit to Wenria

This is such a practical way to improve your AI outputs immediately. Go check out the full post to see the discussion around this awesome tool!

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