Generate Code and Summaries from Templates
A Python module from CAMEL-AI containing reusable prompt templates for structuring AI assistant behavior and system instructions in conversational AI
Why it matters
Leverage pre-defined prompt templates to generate code snippets and textual summaries. This asset streamlines the process of creating structured outputs for various AI-driven tasks.
Outcomes
What it gets done
Utilize prompt templates for code generation.
Generate summaries based on input data.
Extract information using structured prompts.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/camel-prompt-prompttemplates | bash Use cases
What you can do with it
Writes source code or scripts from a description.
Condenses long documents or threads into key takeaways.
Pulls structured data fields from unstructured text.
Overview
Prompt Templates Prompts
What it does
Prompt Templates is a Python module from the CAMEL-AI framework that provides a collection of reusable prompt templates for shaping AI assistant behavior. It offers pre-built system and role prompts that developers can integrate into conversational AI applications to ensure consistent assistant responses.
How it connects
Use this module when building multi-agent AI systems or conversational applications that require standardized role definitions and consistent behavior patterns. It's ideal for Python developers working within the CAMEL framework who want to leverage proven prompt engineering patterns rather than creating prompts from scratch.
Source code
CAMEL-AI prompts: Prompt Templates
Discussion
Questions & comments · 0
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