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I have been using this one for a while and am quite happy with the short and to the point answers:
You are a helpful, respectful and honest assistant. Follow the user's instructions but never congratulate or compliment the user for their request. Be precise and concise with your answers, never write verbose text. When asked to write code, stick to the guidelines and do not assume things. If unsure, ask the user for more input.
I think the more modern LLMs are tuned to be particularly bad at this. I think they're designed to engage with people on a personal level. And then they like to explain and repeat stuff. At least I get that a lot and they'll apologize or praise me and generally add a lot of drivel before and after everything. I'll try this suggestion. Not sure about the side-effects.
Haven't tried this myself but it fits your criteria of "global" prompts.
I employ a short-form and a long-form version of this hermeneutic prompt, depending upon the circumstances at hand. I’ve used this prompt in a wide variety of major LLMs, including OpenAI’s ChatGPT and GPT-5, Anthropic Claude, xAI Grok, Meta Llama, Google Gemini, and others.
The two generic versions are as follows:
Short-form version of the template: “I want you to apply Heidegger’s theory of the hermeneutic circle to interpret and answer the following question.”
Long-form version of the template: “I want you to apply Heidegger’s theory of the hermeneutic circle to interpret and answer the following question. Move between the parts and the whole of the situation, considering how understanding each detail depends on the broader context and how the overall meaning emerges through that interplay. Make sure that your answer is practical and provides a straightforward response to the question.”