Home - diShine-digital-agency/ai-prompt-library GitHub Wiki

๐Ÿ“š AI Prompt Library โ€” Wiki

๐ŸŒ New exclusive home โ€” prompt.dishine.it ย ยทย  the Prompt Workshop now lives exclusively on the web, with a Live Battle & Leaderboard, private accounts & chat, AI chat with files & memory, and many more models. The CLI, Desktop apps, and viewer.html described in this wiki are frozen at v2.4.0 and no longer maintained โ€” the Markdown templates under prompts/ are still accepted via pull request and are consumed directly by the website.

82+ expert-level prompt engineering templates. Originally shipped as a CLI, browser-based Prompt Workshop, and desktop apps โ€” now delivered through the web at prompt.dishine.it.

Welcome to the official wiki for the AI Prompt Library by diShine Digital Agency. This is your central hub for learning everything about the tool โ€” from the current website to the legacy local surfaces.

๐Ÿ‡ฎ๐Ÿ‡น Leggi in italiano ย ยทย  ๐Ÿ‡ซ๐Ÿ‡ท Lire en franรงais

What Is the AI Prompt Library?

The AI Prompt Library is a comprehensive, zero-dependency toolkit for prompt engineering. It provides:

  • 82+ production-ready prompt templates organized across 8 categories
  • CLI tool (prompt-lib) for terminal-based prompt discovery, building, and optimization
  • Prompt Workshop โ€” a browser-based interactive SPA (viewer.html) that works offline
  • Desktop apps for macOS (native Swift), Linux (GTK), and Windows (Edge app mode)
  • Quality tools โ€” Linter (14-rule scoring), Optimizer (content-aware rewriting), Recommender (intent-based suggestions)
  • AI Playground โ€” send prompts directly to GPT, Claude, or Gemini from the browser
  • Prompt Generator โ€” dynamically create prompts using 5 frameworks
  • Compose & Create โ€” layer system prompts + frameworks + templates, or build custom prompts with dynamic fields

Version: 2.4.0 ย |ย  License: MIT ย |ย  Dependencies: Zero (only Node.js 18+ built-in modules)

Key Features at a Glance

Feature CLI Prompt Workshop Description
Browse & Search โœ… โœ… Find prompts by keyword, category, or tag
Show & Use โœ… โœ… View full prompts and fill {{placeholders}} interactively
Copy to Clipboard โœ… โœ… One-click copy of prompt templates
Compose โœ… โœ… Layer system prompt + framework + template
Create โœ… โœ… Build custom prompts with dynamic fields
Generate โœ… โœ… Generate prompts from 5 frameworks
Lint โœ… โœ… Score prompt quality (0โ€“100, Aโ€“F grade)
Optimize โœ… โœ… Rewrite prompts with best practices
Recommend โœ… โœ… Smart prompt suggestions based on intent
AI Playground โ€” โœ… Send prompts to GPT/Claude/Gemini
My Library โœ… โœ… Save, edit, export/import prompts
Dark Mode โ€” โœ… Light/dark theme toggle
Multi-Model Compare โ€” โœ… Send same prompt to all providers, compare side-by-side

Three Ways to Use It

1. CLI (prompt-lib)

A terminal-based tool for searching, building, composing, linting, and optimizing prompts. Install globally via npm or run directly from the repository.

prompt-lib search "chain of thought"
prompt-lib use code-review
prompt-lib lint

2. Prompt Workshop (viewer.html)

A standalone HTML single-page application with 7 tabs โ€” Browse, Compose, Create, Generate, Tools, Playground, and My Library. Works offline, no server needed, no Node.js required.

3. Desktop Apps

Native applications for macOS (Swift + WebKit), Linux (Python + GTK + WebKitGTK), and Windows (Edge app mode). Build from source with ./desktop/build-all.sh.

Prompt Categories

Category Count Description
business 12 Proposals, pitches, stakeholder updates, OKRs
data 10 SQL, dashboards, ETL, ML evaluation, data quality
development 13 Code review, architecture, debugging, testing
frameworks 12 Chain-of-thought, ReAct, few-shot, meta-prompting
image-generation 8 Portraits, logos, scenes, character design
marketing 11 SEO, email campaigns, ad copy, brand voice
model-specific 6 Claude, GPT, Gemini, Llama, Mistral best practices
system-prompts 10 Coding assistant, researcher, content writer, tutor

Wiki Pages

Page Description
Getting Started Installation, setup, and first steps
CLI Reference Complete command-line documentation
Prompt Workshop Browser-based interactive tool guide
Prompting Techniques Frameworks, patterns, and best practices
AI Models Guide Model comparison, pricing, selection
Tools: Linter, Optimizer, Recommender Quality tools deep-dive
API & Playground AI Playground and programmatic usage
Architecture Technical architecture and module reference
Desktop Apps Desktop application guide
Contributing How to contribute prompts, code, and frameworks

Quick Links

Navigation: Getting Started โ†’