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prompt-engine

Ultimate AI prompt database and builder with 2,500+ curated prompts across 19 categories and 17 AI models (Midjourney, Flux, Leonardo AI, DALL-E, Sora, Imagen, Mystic, Stable Diffusion, Ideogram, Adobe Firefly, and more). Search, build, enhance, and adapt prompts for image generation, video creation, text, and meta-prompt generators. Use when user says "prompt", "find a prompt", "build a prompt", "enhance my prompt", "adapt this prompt", "prompt library", "image prompt", "video prompt", "midjourney prompt", "flux prompt", or any AI prompt engineering task. Do NOT use for terminal/CLI prompts, JavaScript prompt() dialogs, user input prompts, or bash prompt customization.

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集成工具OpenAI

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包含的文件(1)

  • SKILL.md4.7 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Prompt Engine -- Ultimate AI Prompt Database and Builder

2,500+ curated prompts across 19 categories, 17 AI models, and 4 output types.

Quick Reference

CommandWhat it does
/prompt [query]Search prompts by keyword, category, model, or style
/prompt-buildBuild a custom prompt from scratch with guided workflow
/prompt-enhanceEnhance an existing prompt with pro techniques
/prompt-adaptAdapt a prompt for a different AI model
/prompt-libraryBrowse, filter, and explore the full prompt library

Orchestration Logic

  1. If user provides a search query or asks to find/search -> run search workflow below
  2. If user wants to create/build a new prompt -> route to /prompt-build
  3. If user has an existing prompt to improve -> route to /prompt-enhance
  4. If user wants to convert between models -> route to /prompt-adapt
  5. If user wants to browse/explore -> route to /prompt-library
  6. If ambiguous, show the Quick Reference table and ask

Search Workflow (Default /prompt)

When user provides a search query:

  1. Run the search script:

    python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py "QUERY" [--category CAT] [--model MODEL] [--type TYPE] [--limit N]
    
  2. Present results as a numbered list with:

    • Prompt text (truncated to 200 chars for preview)
    • Category, model, output type
    • Tags/styles if available
  3. Let user select a prompt to see full details, or refine their search

Error Handling

  • 0 search results: Suggest broadening the query, trying different keywords, or removing filters. Offer to show available categories with --categories.
  • Script fails: Verify Python 3.10+ is available (python3 --version). Check that the database exists at {PROMPT_ENGINE_DIR}/prompts/all_prompts.json.
  • Empty or short prompt input: For /prompt-enhance and /prompt-adapt, ask the user to provide a longer prompt (minimum 30 characters).

Database Stats

MetricValue
Total prompts2,503
Categories19
AI Models17
Output typesVideo (1,225), Image (1,049), Generator (115), Text (114)
Model coverage78% of prompts have model attribution
Sources11 Airtable databases

Categories

CategoryCountDescription
fashion-editorial473Fashion, editorial, magazine shoots
video-general287Video-specific prompts
general221Multi-purpose prompts
portraits-people198Faces, characters, headshots
landscapes-nature180Mountains, oceans, forests, sunsets
abstract-backgrounds171Gradients, patterns, wallpapers
sci-fi-futuristic135Cyberpunk, robots, space, neon
architecture129Buildings, interiors, cityscapes
logos-icons116Logo design, icon sets, branding
generators115Meta-prompts that create prompts
text114Copywriting, content, storytelling
animated-3d92Pixar, 3D renders, anime
vehicles82Cars, motorcycles, racing
superheroes58Marvel, DC, superhero art
fantasy56Dragons, magic, medieval, mythical
products42Product photography, packshots
animals18Wildlife, pets, creatures
food-drink11Food photography, recipes
print-merchandise5T-shirts, stickers, merch

Models

Top models: Midjourney (981), Leonardo AI (237), Freepik (172), Mystic (166), Flux (137), Any Platform (97), DALL-E (42), Imagen (26), Sora (24), ChatGPT (22).

Data Paths

  • Prompt database: {PROMPT_ENGINE_DIR}/prompts/
  • Master file: {PROMPT_ENGINE_DIR}/prompts/all_prompts.json
  • Per-category: {PROMPT_ENGINE_DIR}/prompts/{category}/prompts.json
  • Stats: {PROMPT_ENGINE_DIR}/prompts/stats.json
  • Search script: {PROMPT_ENGINE_DIR}/scripts/search_prompts.py

Reference Files

  • references/prompt-patterns.md -- Common prompt engineering patterns and structures
  • references/model-guide.md -- Model-specific syntax, features, and best practices

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