From prompt-engine
Browse, filter, and explore 2,500+ curated AI prompts by category, model, and output type using Python search script. View stats, get random prompts, and export collections.
How this skill is triggered — by the user, by Claude, or both
Slash command
/prompt-engine:prompt-libraryThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Browse and explore 2,500+ curated prompts with rich filtering.
Browse and explore 2,500+ curated prompts with rich filtering.
Show available categories with counts:
python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py --categories
Then load a specific category:
python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py --category CATEGORY --limit 10
List prompts for a specific AI model:
python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py --model "Midjourney" --limit 10
Filter by output type (image, video, text, generator):
python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py --type video --limit 10
Show database statistics:
python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py --stats
Get a random prompt for inspiration:
python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py --random [--category CAT] [--model MODEL]
When showing prompts, use this format:
## [Category] -- [Model]
**Prompt:**
> [Full prompt text]
**Tags:** [tag1], [tag2], [tag3]
**Output:** [image/video/text]
**Source:** [original Airtable source]
When showing multiple prompts, use a numbered list with truncated previews (first 150 chars) and let the user select one for full details.
{PROMPT_ENGINE_DIR}/prompts/stats.json{PROMPT_ENGINE_DIR}/prompts/all_prompts.json{PROMPT_ENGINE_DIR}/prompts/{category}/prompts.jsonnpx claudepluginhub agricidaniel/claude-promptsSearches, retrieves, and improves AI prompts via the prompts.chat MCP server. Useful for finding prompt templates, getting specific prompts, and enhancing prompts.
Builds custom AI prompts for image, video, and text generation using guided workflows and patterns from a 2,500+ prompt database. Supports Midjourney, Flux, Leonardo AI, DALL-E, Sora, and 12+ models.
Teaches systematic prompt engineering across AI models for images, video, audio, and text. Guides prompt A/B testing, library building, and model-specific language.