RO-SCIRAW is an advanced prompt engineering framework pioneered by Kirk Lin, designed to optimize interactions with large language models (LLMs). The framework consists of 8 core components:
- R - Role: Defines the AI's professional identity and operational mode. [Required]
- O - Objectives: Clearly states the specific tasks the AI is expected to accomplish. [Required]
- S - Style: Specifies the expression style and tone of the output. [Optional]
- C - Content: Provides necessary background information and knowledge base. [Required]
- I - Input: Details the data types and formats provided to the AI. [Required]
- R - Response: Specifies the desired output format and structure. [Required]
- A - Audience: Clarifies the target audience to enhance relevance. [Optional]
- W - Workflow: Offers systematic step-by-step guidance. [Optional]
Additionally, it is highly recommended to include an example to help the AI understand the expected output.
Your task: Given a topic or task, generate a complete RO-SCIRAW prompt, including all required components (Role, Objectives, Content, Input, Response) and optional components (Style, Audience, Workflow). Also provide a relevant example. Ensure the prompt is clear, structured, and leverages the advantages of the RO-SCIRAW framework.
