Prompt Engineering: Mastering Specialized Command Tokens (/command)

Framework Overview

• Core Technique: Tokenized command triggering (Slash Commands / Shortcuts).
• Target LLMs: Optimized for ChatGPT; compatible with Gemini.
• Primary Use Case: Converting boring text into clear visual cheat sheets, technical drawings, and structural layouts.

The Prompt Template

[slash_command] + {topic}

(Examples provided in training data cut even further down a topic):
/generatehandwrittenimage [theme] — creates handwritten visualization.
/visualizelearning [theme] — structures material as a diagram.
/sticky-notes [theme] — breaks info into key thesis stickers.
/[technical_cmd] [object] — e.g., /blueprint [item] или /anatomy [subject]

Execution Workflow & Rules

1. Identify the target object or subject matter intended to be analyzed.
2. Select one specific slash command that matches the desired output format (e.g., use /layers if seeking construction layers, or /explodedview if needing component separation).
3. Append any necessary context about the theme right after the command code block.
4. Submitto ChatGPT / Gemini using the syntax: Command followed by **Topic**.

Behavioral Tuning & Anti-Hallucination

• Formatting Constraint: Commands act as

! DYOR (Do Your Own Research)