Claude Prompts — AI-Powered Prompt Engine

Claude Prompts

AI prompt database and builder skill for Claude Code with 2,500+ curated prompts across 19 categories and 17 AI models.

Search, build, enhance, and adapt prompts for Midjourney, Flux, Leonardo AI, DALL-E, Sora, Imagen, Mystic, Stable Diffusion, Ideogram, Adobe Firefly, Freepik, and more.

Features

2,503 curated prompts extracted from 11 Airtable sources
19 categories: fashion-editorial, video, portraits, landscapes, sci-fi, architecture, logos, fantasy, and more
17 AI models: Midjourney (981), Leonardo AI (237), Freepik (172), Mystic (166), Flux (137), and others
4 output types: Video (1,225), Image (1,049), Generator (115), Text (114)
5 skill commands for searching, building, enhancing, adapting, and browsing prompts

Commands

Command	What it does
`/prompt [query]`	Search prompts by keyword, category, model, or style
`/prompt-build`	Build a custom prompt from scratch with guided workflow
`/prompt-enhance`	Enhance an existing prompt with pro techniques
`/prompt-adapt`	Adapt a prompt for a different AI model
`/prompt-library`	Browse, filter, and explore the full prompt library

Installation

Requirements

Claude Code CLI
Python 3.10+

Install (Linux / macOS)

git clone https://github.com/AgriciDaniel/claude-prompts.git
cd claude-prompts
bash install.sh

Install (Windows / PowerShell)

git clone https://github.com/AgriciDaniel/claude-prompts.git
cd claude-prompts
.\install.ps1

Note: The prompt database (prompts/all_prompts.json) is ~5.4 MB. Total repository size is approximately 12 MB.

The install script:

Copies skill files to ~/.claude/skills/
Substitutes path placeholders with your local repo path
Symlinks reference files (no duplication)
Verifies the prompt database and search script

Verify

python3 scripts/search_prompts.py --stats

Usage Examples

Search for prompts

# In Claude Code, just type:
/prompt cyberpunk city

# Or use the search script directly:
python3 scripts/search_prompts.py "cyberpunk city" --limit 5

Filter by model

/prompt --model Midjourney
python3 scripts/search_prompts.py --model "Midjourney" --limit 10

Filter by category

/prompt --category fashion-editorial
python3 scripts/search_prompts.py --category fantasy --limit 10

Get a random prompt

python3 scripts/search_prompts.py --random --model Flux

Build a custom prompt

/prompt-build
# Follow the guided workflow: output type -> target model -> subject -> style

Enhance an existing prompt

/prompt-enhance "A cat sitting on a windowsill"
# Scores your prompt, finds similar top prompts, applies enhancement techniques

Adapt between models

/prompt-adapt
# Translates prompts between Midjourney, Flux, DALL-E, Sora, and other models

Project Structure

claude-prompts/
  prompt-engine/              # Main orchestrator skill
    SKILL.md                  # Entry point with routing table
  skills/                     # Sub-skills
    prompt-build/SKILL.md     # Build custom prompts
    prompt-enhance/SKILL.md   # Enhance existing prompts
    prompt-adapt/SKILL.md     # Adapt between models
    prompt-library/SKILL.md   # Browse the library
  scripts/                    # Python scripts
    search_prompts.py         # Search and filter the database
    extract_prompts.py        # Extract prompts from raw Airtable data
    scrape_airtable.py        # Scrape Airtable shared views (template)
  references/                 # Knowledge files
    model-guide.md            # Model-specific syntax and best practices
    prompt-patterns.md        # Common prompt engineering patterns
  prompts/                    # Prompt database (JSON)
    all_prompts.json          # Master file (2,503 prompts)
    stats.json                # Database statistics
    {category}/prompts.json   # Per-category files (19 categories)
  install.sh                  # Installation script

Adding Your Own Prompts

The extraction pipeline supports Airtable shared views:

Add your Airtable shared view URLs to scripts/scrape_airtable.py (TABLES dict)
Install Playwright: pip install playwright && playwright install chromium
Run the scraper: python3 scripts/scrape_airtable.py --output raw
Extract and categorize: python3 scripts/extract_prompts.py --input raw --output prompts
Reinstall: bash install.sh

Attribution & Disclaimer

The prompts in this database were collected from publicly shared Airtable views and community sources.
If you are the original creator of any prompt and would like it removed or credited differently,
please open an issue and we will address it promptly. This project is intended for educational
and creative purposes. Always respect the original creators' rights and terms of service.

Support

Issues: GitHub Issues
Discussions: GitHub Discussions
Contributing: See CONTRIBUTING.md

License

MIT

Author

Built by Agrici Daniel - AI Workflow Architect.

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Category	Count	Description
fashion-editorial	473	Fashion, editorial, magazine shoots
video-general	287	Video-specific prompts
general	221	Multi-purpose prompts
portraits-people	198	Faces, characters, headshots
landscapes-nature	180	Mountains, oceans, forests, sunsets
abstract-backgrounds	171	Gradients, patterns, wallpapers
sci-fi-futuristic	135	Cyberpunk, robots, space, neon
architecture	129	Buildings, interiors, cityscapes
logos-icons	116	Logo design, icon sets, branding
generators	115	Meta-prompts that create prompts
text	114	Copywriting, content, storytelling
animated-3d	92	Pixar, 3D renders, anime
vehicles	82	Cars, motorcycles, racing
superheroes	58	Marvel, DC, superhero art
fantasy	56	Dragons, magic, medieval, mythical
products	42	Product photography, packshots
animals	18	Wildlife, pets, creatures
food-drink	11	Food photography, recipes
print-merchandise	5	T-shirts, stickers, merch

claude-prompts