A System-Prompt Skeleton That Survives Claude/GPT/Gemini Swaps

📰 Dev.to · Gabriel Anhaia

Learn to create a system-prompt skeleton that works across different AI models like Claude, GPT, and Gemini, and understand the importance of this flexibility in AI development

intermediate Published 27 Apr 2026

Action Steps

Define a system-prompt skeleton using a modular approach to ensure flexibility
Test the skeleton with different AI models such as Claude, GPT, and Gemini to identify potential issues
Refine the prompt to accommodate per-vendor caveats and limitations
Apply the refined skeleton to various tasks to verify its robustness
Compare the performance of the skeleton across different models and vendors
Iterate on the skeleton based on the comparison results to further improve its compatibility

Who Needs to Know This

This knowledge is beneficial for AI engineers, researchers, and developers who work with large language models (LLMs) and need to ensure their prompts are compatible across different models and vendors.

Key Insight

💡 A well-designed system-prompt skeleton can significantly improve the compatibility and robustness of AI applications across different models and vendors