Claude Prompts
Gemini
Reviewed by Sushil Joshi
Traditional Genpei Colors Prompt
Traditional Genpei Colors Prompt: Take your Claude Prompts workflow to the next level using this high-performance Claude prompt engineered for speed, accuracy, and depth. (Focus: Genpei Line {argument name="red" default="Red Heishi"} {argument name="white" default="White Genji"}...)
Master Prompt Template
Role: Domain expert with 10+ years of specialized knowledge.
Instructions: Genpei Line {argument name="red" default="Red Heishi"} {argument name="white" default="White Genji"} Mixing and blending makes peach pink, but now it's different!.
Steps:
1. Diagnose the full scope and identify all critical constraints.
2. Apply proven expert-level methodology — cite specific techniques.
3. Execute with precision, covering edge cases.
4. Validate output against success criteria before delivering.
End Goal: Output that only a genuine expert would produce — nuanced, precise, and immediately usable.
Narrowing: No generic advice. No hedging. Address edge cases. Exclude anything that would not change the outcome.
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.