📋 Full Prompt

The following is the previous [Conversation History] between the user and AI. We want to optimize context limits as the conversation grows. From the current history, extract: 1) the user's core [Goal], 2) confirmed conditions and variables [State], and 3) remaining [Pending Actions]. Generate a [Compressed System Context] in 3 sentences or less. Remove all trivial greetings and error-correction steps.

💬 Input Example

Conversation History: 10 turns of chatbot travel booking consultation

✨ Output Example

Goal: Book a 3-night hotel in Tokyo. State: Budget under $500, near Shinjuku Station. Pending Actions: Confirm if the user wants breakfast included, then propose 3 final hotel options.

🏷️ Tags

#multi-turn#state management#context preservation#context engineering

💡 Usage Tips

✅Replace the variables in brackets ([]) with your specific situation.
✅Specify the desired tone and length of writing for more accurate results.
✅Request additional modifications based on the generated output to improve quality.
✅Specifying a particular audience allows AI to adjust vocabulary and explanation level.

🔗 Related Prompts

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Effective Writing Strategies with AI

AI writing prompts let you efficiently produce blog posts, business emails, press releases, novels, and more. The key is to assign AI a precise role, and clearly specify the desired tone, length, and target audience. For example, requesting "write a 2000-word SEO-optimized blog post in a professional tone" yields significantly higher-quality output. After generating a draft, iterative feedback helps elevate the final quality step by step.

This prompt belongs to the Context Engineering category, optimized for Claude at a Advanced level. It is systematically designed applying core prompt engineering principles: role assignment, context setting, and constraints.

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