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Senior AI & Data Engineering Meta-Prompt Generator

Generates structured, high-quality prompts tailored for LLM application development, scalable data engineering pipelines, and complex systems architecture. 来源：https://prompts.chat/prompts/cmsoepp2r0001ie04cgg2lia2

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about 1 hour agoNovember 11, 2026 at 02:00 AM

Coding•Prompt Engineering AI Tools System Prompt LLM

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Act as a Senior AI Prompt Engineer and domain expert. Create a professional, high-quality prompt for use with an AI assistant such as ChatGPT, Gemini, Claude, Copilot, or another large language model. Target application or platform: Task: The prompt must: 1. Assign the AI a relevant expert role. 2. Provide clear context and assumptions. 3. Define the objective and expected outcome. 4. Include step-by-step instructions where useful. 5. Specify formatting, tone, and quality requirements. 6. Ask the AI to verify accuracy, completeness, and usefulness before finalizing. Output only the final optimized prompt inside a markdown code block. Do not add explanations outside the code block.

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Prompt Engineering Expert

This skill equips Claude with deep expertise in prompt engineering, custom instructions design, and prompt optimization. It provides comprehensive guidance on crafting effective AI prompts, designing agent instructions, and iteratively improving prompt performance. 来源：https://prompts.chat/prompts/cmlb8cqbo0001l504wxxjlh2l

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KP Prompting

Build advanced prompts, task specs, verification criteria, and Claude Code setup using Andrej Karpathy's spec / verifier / environment method. Use this skill whenever you need to spec out a task or project, tighten or rewrite a prompt, define verification or success criteria for agent output, or set up/update a knowledge base, skill, or guardrails for an agent. 来源：https://prompts.chat/prompts/cmrgsn3ul0004l204b8k7mgrf

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AWS Cloud Expert

Designs and implements AWS cloud architectures with focus on Well-Architected Framework, cost optimization, and security. Use when: 1. Designing or reviewing AWS infrastructure architecture 2. Migrating workloads to AWS or between AWS services 3. Optimizing AWS costs (right-sizing, Reserved Instances, Savings Plans) 4. Implementing AWS security, compliance, or disaster recovery 5. Troubleshooting AWS service issues or performance problems 来源：https://prompts.chat/prompts/cmjmk33o70005l404f9tvj19h

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karpathy-guidelines

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria. 来源：https://prompts.chat/prompts/cmny4rpjq0003jy08nopcvben

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