Sometimes, the hardest part of using an AI model is figuring out how to prompt it effectively. To help with this, we've created an experimental helper "meta"-prompt that can guide Claude to generate a high-quality prompts tailored to your specific tasks.

To use the metaprompt, follow the instructions in our metaprompt Google Colab notebook. There, you can easily run the code to have Claude construct prompts on your behalf.

Note that to run the Colab notebook, you will need an API key.

The metaprompt is particularly useful as a "getting started" tool or as a method to generate multiple prompt versions for a given task, making it easier to test a variety of initial prompt variations for your use case.

Additional resources

• Prompt engineering techniques: Explore other strategies for optimizing your prompts and enhancing Claude's performance.
• Anthropic cookbook: Browse a collection of Jupyter notebooks featuring copy-able code snippets that demonstrate highly effective and advanced techniques, integrations, and implementations using Claude.
• Prompt library: Get inspired by a curated selection of prompts for various tasks and use cases.