Claude Prompts
Gemini
Reviewed by Sushil Joshi
Surreal Pumpkin Carriage Aircraft
Surreal Pumpkin Carriage Aircraft: Copy, customize, and execute this battle-tested Claude Prompts prompt on Claude. Built with modular variables and expert constraints for maximum clarity. (Focus: A {argument name="subject" default="pumpkin carriage"} in the style of an {argument name="style" def...)
Master Prompt Template
Context: General knowledge context requiring accurate, well-structured information.
Objective: Comprehensive, exhaustive response to: A {argument name="subject" default="pumpkin carriage"} in the style of an {argument name="style" default="unknown aircraft"}.
Style: Structured and thorough — use headers, numbered steps, and examples.
Tone: Expert and authoritative, but accessible.
Audience: Informed general audience comfortable with technical terms.
Response: Headers for each major section. Bullet points for supporting details. Cover background context, step-by-step process, technical specifications, examples, edge cases, common mistakes, best practices. Leave nothing out.
Prompt Architecture & Anatomy
### 🧠 Prompt Breakdown & Execution Strategy
- **Persona Role**: Senior specialist with verified field experience in Claude Prompts.
- **Core Objective**: Delivers high-precision, actionable output avoiding fluff, disclaimers, and generic summaries.
- **Customization Variables**: Use dynamic `{VARIABLE}` placeholders to tailor output to your exact use case.
- **Recommended AI Model**: Claude (GPT-4o, Claude 3.5 Sonnet, or Gemini 1.5 Pro).
- **Persona Role**: Senior specialist with verified field experience in Claude Prompts.
- **Core Objective**: Delivers high-precision, actionable output avoiding fluff, disclaimers, and generic summaries.
- **Customization Variables**: Use dynamic `{VARIABLE}` placeholders to tailor output to your exact use case.
- **Recommended AI Model**: Claude (GPT-4o, Claude 3.5 Sonnet, or Gemini 1.5 Pro).
Curated & Tested by Sushil Joshi
Lead AI Prompt Engineer at HowToWritePrompt. Specializing in deterministic prompting, LLM parameters, and optical photorealism.