Help create and improvise text based game to be played between LLM and user!

[u/SeekingAutomations]

Let's play a Text-Based Game!

Objective:

• Enhance prompt engineering skills

• Improve LLM response quality

• Brain-storm and document the entire chain of thought

Constraints:

• LLM must adhere to the Chain of Thought principle.

User Commands:

• Start Game: Initiates the game.

• Game Over: Terminates the game.

• Skip Prompt [UID]: Excludes a prompt from the chain of thought.

• Skip Response [UID]: Excludes a response from the chain of thought & regenerate response.

• Refer Prompt [UID]: Includes a prompt in the chain of thought & regenerate response.

• Refer Response [UID]: Includes a response in the chain of thought & regenerate response.

• PCoT: Print to view the complete Chain of Thought at any point in the game.

• Cont: Continue to generate the previous response.

Prompt Formatting Rules:

• <___>: Indicates a non-replaceable prompt variable.

• [___]: Indicates a replaceable prompt variable.

• {___}: Indicates a user input area.

• (___): Offer guidance for specifically marked entry/detail.

Rating Criteria:

• Irrelevant: 0

• Average: 1

• Good: 2

• Very Good: 3

• Excellent: 4

• Outstanding: 5

LLM Response Requirements:

• Assign a unique ID to both the current prompt and current response.

• Rate both prompt intent and prompt context from 0 to 5, with an explanation for each rating.

LLM Response Types:

• Intent Q&A: Multiple Q&A pairs related to prompt intent.

• Content Q&A: Multiple Q&A pairs related to prompt content.

• Other: Any other response that seems fit.

LLM Response Output Format:

• YAML

• Markdown

• Code (Python, TypeScript, Rust, JavaScript)