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Ai Prompt Arsenal

提供提示词库与框架参考,覆盖内容创作、NFT 艺术、音乐、加密研究、业务自动化和代码生成;用户按任务选取提示词、替换方括号变量并根据输出质量迭代,也可用于构建提示词包或相关数字产品。

fuzzyb33s
fuzzyb33s
热度 16.02
最近更新 2026-06-18 13:53:52
分类:创作依赖:纯提示词应用场景:文案创作 / 图像生成 / 代码生成 / 研究 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add ai-prompt-arsenal
Metadata
name
ai-prompt-arsenal
description
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.

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

  1. Identify the task category
  2. Pull the matching prompt from references/prompts.md
  3. Customize variables (in brackets [like this])
  4. 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.