📋 Full Prompt

Design a memory-augmented agent system prompt for [agent purpose]. Distinguish these three memory layers: [Short-term Memory] Current conversation context (last 5 turns) Format: {speaker: "user/agent", content: "..."} [Long-term Memory] Relevant past experiences retrieved from vector DB Format: {relevance: 0.9, content: "..."} [Procedural Memory] Frequently used tool usage patterns Format: {task_type: "...", tool_sequence: [...]} Write a system prompt template that integrates all memory layers.

💬 Input Example

Purpose: Personalized learning coach agent

✨ Output Example

System prompt: [Short-term]: Today's conversation... [Long-term]: User's weak area is calculus... [Procedural]: Quiz-first → explanation style preferred

🏷️ Tags

#agent#memory#long-term recall

💡 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.

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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 Coding 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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Discover 90+ verified prompts in the PromptGenie library.

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