Prompt Engine -- Ultimate AI Prompt Database and Builder
2,500+ curated prompts across 19 categories, 17 AI models, and 4 output types.
Quick Reference
| 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 |
Orchestration Logic
- If user provides a search query or asks to find/search -> run search workflow below
- If user wants to create/build a new prompt -> route to
/prompt-build
- If user has an existing prompt to improve -> route to
/prompt-enhance
- If user wants to convert between models -> route to
/prompt-adapt
- If user wants to browse/explore -> route to
/prompt-library
- If ambiguous, show the Quick Reference table and ask
Search Workflow (Default /prompt)
When user provides a search query:
Run the search script:
python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py "QUERY" [--category CAT] [--model MODEL] [--type TYPE] [--limit N]
Present results as a numbered list with:
- Prompt text (truncated to 200 chars for preview)
- Category, model, output type
- Tags/styles if available
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
| Metric |
Value |
| Total prompts |
2,503 |
| Categories |
19 |
| AI Models |
17 |
| Output types |
Video (1,225), Image (1,049), Generator (115), Text (114) |
| Model coverage |
78% of prompts have model attribution |
| Sources |
11 Airtable databases |
Categories
| 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 |
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 structuresreferences/model-guide.md -- Model-specific syntax, features, and best practices
Converted and distributed by TomeVault — claim your Tome and manage your conversions.
1---2name: agricidaniel-claude-prompts-prompt-engine3description: Prompt Engine -- Ultimate AI Prompt Database and Builder4---56# Prompt Engine -- Ultimate AI Prompt Database and Builder782,500+ curated prompts across 19 categories, 17 AI models, and 4 output types.910## Quick Reference1112| Command | What it does |13|---------|-------------|14| `/prompt [query]` | Search prompts by keyword, category, model, or style |15| `/prompt-build` | Build a custom prompt from scratch with guided workflow |16| `/prompt-enhance` | Enhance an existing prompt with pro techniques |17| `/prompt-adapt` | Adapt a prompt for a different AI model |18| `/prompt-library` | Browse, filter, and explore the full prompt library |1920## Orchestration Logic21221. If user provides a **search query** or asks to **find/search** -> run search workflow below232. If user wants to **create/build** a new prompt -> route to `/prompt-build`243. If user has an **existing prompt** to improve -> route to `/prompt-enhance`254. If user wants to **convert** between models -> route to `/prompt-adapt`265. If user wants to **browse/explore** -> route to `/prompt-library`276. If ambiguous, show the Quick Reference table and ask2829## Search Workflow (Default /prompt)3031When user provides a search query:32331. Run the search script:34 ```bash35 python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py "QUERY" [--category CAT] [--model MODEL] [--type TYPE] [--limit N]36 ```37382. Present results as a numbered list with:39 - Prompt text (truncated to 200 chars for preview)40 - Category, model, output type41 - Tags/styles if available42433. Let user select a prompt to see full details, or refine their search4445## Error Handling4647- **0 search results**: Suggest broadening the query, trying different keywords, or removing filters. Offer to show available categories with `--categories`.48- **Script fails**: Verify Python 3.10+ is available (`python3 --version`). Check that the database exists at `{PROMPT_ENGINE_DIR}/prompts/all_prompts.json`.49- **Empty or short prompt input**: For `/prompt-enhance` and `/prompt-adapt`, ask the user to provide a longer prompt (minimum 30 characters).5051## Database Stats5253| Metric | Value |54|--------|-------|55| Total prompts | 2,503 |56| Categories | 19 |57| AI Models | 17 |58| Output types | Video (1,225), Image (1,049), Generator (115), Text (114) |59| Model coverage | 78% of prompts have model attribution |60| Sources | 11 Airtable databases |6162## Categories6364| Category | Count | Description |65|----------|-------|-------------|66| fashion-editorial | 473 | Fashion, editorial, magazine shoots |67| video-general | 287 | Video-specific prompts |68| general | 221 | Multi-purpose prompts |69| portraits-people | 198 | Faces, characters, headshots |70| landscapes-nature | 180 | Mountains, oceans, forests, sunsets |71| abstract-backgrounds | 171 | Gradients, patterns, wallpapers |72| sci-fi-futuristic | 135 | Cyberpunk, robots, space, neon |73| architecture | 129 | Buildings, interiors, cityscapes |74| logos-icons | 116 | Logo design, icon sets, branding |75| generators | 115 | Meta-prompts that create prompts |76| text | 114 | Copywriting, content, storytelling |77| animated-3d | 92 | Pixar, 3D renders, anime |78| vehicles | 82 | Cars, motorcycles, racing |79| superheroes | 58 | Marvel, DC, superhero art |80| fantasy | 56 | Dragons, magic, medieval, mythical |81| products | 42 | Product photography, packshots |82| animals | 18 | Wildlife, pets, creatures |83| food-drink | 11 | Food photography, recipes |84| print-merchandise | 5 | T-shirts, stickers, merch |8586## Models8788Top models: Midjourney (981), Leonardo AI (237), Freepik (172),89Mystic (166), Flux (137), Any Platform (97), DALL-E (42), Imagen (26),90Sora (24), ChatGPT (22).9192## Data Paths9394- Prompt database: `{PROMPT_ENGINE_DIR}/prompts/`95- Master file: `{PROMPT_ENGINE_DIR}/prompts/all_prompts.json`96- Per-category: `{PROMPT_ENGINE_DIR}/prompts/{category}/prompts.json`97- Stats: `{PROMPT_ENGINE_DIR}/prompts/stats.json`98- Search script: `{PROMPT_ENGINE_DIR}/scripts/search_prompts.py`99100## Reference Files101102- `references/prompt-patterns.md` -- Common prompt engineering patterns and structures103- `references/model-guide.md` -- Model-specific syntax, features, and best practices104105---106> Converted and distributed by [TomeVault](https://tomevault.io/claim/agricidaniel) — claim your Tome and manage your conversions.107<!-- tomevault:4.0:skill_md:2026-04-13 -->
tomevault-io