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编程
Ai Prompt Arsenal
试用A comprehensive AI prompt engineering toolkit for generating high-quality outputs from Claude, GPT-4, Midjourney, Suno, and other AI models. Use when the use...
它能做什么
A comprehensive AI prompt engineering toolkit for generating high-quality outputs from Claude, GPT-4, Midjourney, Suno, and other AI models. Use when the user wants to create, refine, or optimize prompts for content creation, NFT art generation, music creation, crypto research, business automation, or code generation. Also use when building prompt packs, prompt bundles, or any digital product centered on AI prompts.
技能文档
AI Prompt Arsenal
A curated collection of battle-tested prompts and prompt engineering frameworks for content creators, crypto founders, and indie hackers.
Quick Start
Load the prompt that matches your goal from references/prompts.md. Each prompt is production-ready and has been validated across real use cases.
For framework-level guidance, see references/frameworks.md.
Core Prompt Library
| Category | File | Use Case |
|---|---|---|
| Claude/GPT | prompts.md | Business automation, content, research |
| Midjourney | prompts.md | NFT art, brand assets, thumbnails |
| Suno | prompts.md | Music generation, sound design |
| Crypto | prompts.md | Research, analysis, whale tracking |
| Code | prompts.md | Boilerplate, refactoring, code review |
Workflow
- Identify the task category
- Pull the matching prompt from
references/prompts.md - Customize variables (in brackets
[like this]) - Execute and iterate based on output quality
Prompt Engineering Principles
- Be specific: Vague prompts produce vague results
- Set the role: "You are a [ROLE]" dramatically improves output
- Add constraints: Format, length, tone, audience — all shape quality
- Chain prompts: Break complex tasks into sequential prompts
- Test and iterate: Save winning prompts — they're assets
Variable Convention
Replace anything in [brackets] with your specific context. Do not remove the brackets — they mark customizable inputs.
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