<What it does, one line>. Trigger phrases: <phrases>.
日本語の概要は準備中です。原文の説明を表示しています。
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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
2,500+ curated prompts across 19 categories, 17 AI models, and 4 output types.
| 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 |
/prompt-build/prompt-enhance/prompt-adapt/prompt-libraryWhen 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:
Let user select a prompt to see full details, or refine their search
--categories.python3 --version). Check that the database exists at {PROMPT_ENGINE_DIR}/prompts/all_prompts.json./prompt-enhance and /prompt-adapt, ask the user to provide a longer prompt (minimum 30 characters).| 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 |
| 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 |
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).
{PROMPT_ENGINE_DIR}/prompts/{PROMPT_ENGINE_DIR}/prompts/all_prompts.json{PROMPT_ENGINE_DIR}/prompts/{category}/prompts.json{PROMPT_ENGINE_DIR}/prompts/stats.json{PROMPT_ENGINE_DIR}/scripts/search_prompts.pyreferences/prompt-patterns.md -- Common prompt engineering patterns and structuresreferences/model-guide.md -- Model-specific syntax, features, and best practicesまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
<What it does, one line>. Trigger phrases: <phrases>.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill whenever the user wants to create or improve a presentation for an academic context — conference papers, seminar talks, thesis defenses, grant briefings, lab meetings, invited lectures, or any presentation where the audience will evaluate reasoning and evidence. Triggers include: 'conference talk', 'seminar slides', 'thesis defense', 'research presentation', 'academic deck', 'academic presentation'. Also triggers when the user asks to 'make slides' in combination with academic content (e.g., 'make slides for my paper on X', 'create a presentation for my dissertation defense', 'build a deck for my grant proposal'). This skill governs CONTENT and STRUCTURE decisions. For the technical work of creating or editing the .pptx file itself, also read the pptx SKILL.md.
日本語の概要は準備中です。原文の説明を表示しています。
Shortest English alias for web-adapt / universal-web-adaptation. Use this when adapting an unfamiliar public website generically before creating any site-specific rules.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill to audit CLI adapter projects (like opencli) for missing output fields, then batch-generate fixes and submit PRs. Turns AI agents into adapter quality reviewers.
日本語の概要は準備中です。原文の説明を表示しています。
Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.
日本語の概要は準備中です。原文の説明を表示しています。
Audit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search terms, retail readiness, creative, budgets, ACOS, TACOS, reporting, and policy. Use for Amazon Ads, sponsored ads, Amazon PPC, ACOS, TACOS, ASIN advertising, Amazon DSP, or retail-media optimization.
日本語の概要は準備中です。原文の説明を表示しています。