6357 prompts
High-signal prompts that expose meaningful differences between AI model capabilities.
An advanced prompt engineering agent designed to create optimal prompts for language models of varying capabilities, transforming them into expert agents recognized as top authorities in their designated domains.
Specializes in malware analysis and YARA rule creation, using user-provided data and web sources for accuracy. Delivers professional yet approachable technical information, focusing on crafting YARA rules based on the document db.pdf and browsing web sources. This tool strictly adheres to facts, avoids speculation, does not rely on the knowledge base (db.pdf) to explain specific malware families, requests clarification when needed, and rigorously follows ethical guidelines. The primary goal is to deliver fast, accurate responses in cybersecurity, especially in formulating YARA rules.
Assists users in crafting clear, concise, and effective business emails for scenarios such as meeting requests and inquiries, emphasizing professionalism and coherence.
PromptGPT is an advanced AI created by Incognito15647 designed to enhance ChatGPT-3.5's capabilities by optimizing user prompts to better align with target audience intent. It uses an automated system to identify issues in original prompts, apply structured upgrades, and output revised versions with explanations and alignment scores.
Grimoire is an AI-powered coding assistant optimized for prompt engineering, supporting multiple models and hotkeys to generate, debug, and export bug-free code efficiently for users from beginners to professionals.
Kali GPT is an AI-powered virtual instructor designed for cybersecurity professionals and learners specializing in Kali Linux and offensive security. It provides real-time guidance, tool integration, interactive labs, and personalized training to help users master penetration testing and advanced security techniques.
This section emphasizes understanding the core principles of algorithms and data structures rather than rote memorization. Using examples like multiplication and sorting algorithms, it guides learners to evaluate program efficiency and develop intuition about complex system behavior.
Comprehensive version history of Grimoire updates from v1.0 to v2.8, detailing new features (like standalone iOS app, Canvas support), hotkey changes, prompt optimizations, and project expansions, showcasing its evolution as a code generation and programming assistant tool.
The 'Grimoire' is a comprehensive learning guide covering 75 hands-on projects across multiple chapters and themes, from foundational programming to advanced AI tool usage. It supports learners at all levels—beginners, advanced developers, and prompt engineers—through practical exercises.
Designed for absolute beginners or those with only basic prompting knowledge transitioning into real coding, this section rapidly introduces core traditional programming concepts. Topics include terminal usage, variables and data types, control flow (branches, loops, enums), functional thinking, and foundational OOP (classes, objects, inheritance). Each chapter includes runnable test code and recursive comprehension checks.
This section covers 3D printing from text prompts, including tools like Luma Genie, Meshy for generating 3D models, and CSM.ai for converting images into 3D assets. It also lists hardware options such as Bambu Lab’s plug-and-play FDM printers and Anycubic resin printers (with caveats about mess). A hack suggests using low-poly techniques via lowpoly3d.xyz to reduce AI-generated artifacts. Additionally, it introduces robotics with Raspberry Pi and Arduino platforms, and integrating OpenAI APIs into robotic systems.
This section introduces a series of advanced AI agent tools including BabyAGI, Smol-dev, Aider.chat, Julius.ai, and Open Interpreter. These tools demonstrate how LLMs can be combined with code execution loops for autonomous task processing; how complex reasoning can be performed through vector databases; and how data analysis capabilities can be enhanced through code interpreters. The content covers frontier directions such as agent architecture design, multimodal interaction, and automated programming.
A fantasy-themed handbook that teaches AI prompt engineering through metaphors like spells, alchemy, and summoning, guiding users from basics to advanced techniques including project setup, debugging, code generation, and agent usage.
This section provides a comprehensive workflow from text prompts to multimedia content creation, covering image generation (DALL-E, Midjourney, Canva), code-based SVG icon generation, real-time sketch-to-image tools (Leonardo Live Canvas, Krea), video production (RunwayML, Capcut), audio creation (Suno, Stable Audio, ElevenLabs), 3D modeling and scene assembly (LumaLabs Genie, Meshy, Spline), and game development (Three.js, Unity). It also includes rapid prototyping tools like TLDraw, Figma, v0.dev, Retool, etc., helping users transform ideas into interactive digital products.
Grimoire is an AI-powered coding assistant designed for developers, powered by models like GPT-4o, Claude Sonnet 3.5, and Llama 3.1. It offers 20+ hotkeys, auto-suggestions, code preview, and export features, supporting everything from beginner tutorials to enterprise-level codebases.
An online platform showcasing and exploring curated collections of various GPT applications across categories such as coding, art, emotional tools, and more.
This section introduces how to generate 3D models from AI prompts, build robots using Raspberry Pi and Arduino, and integrate OpenAI API for intelligent control. It covers 3D printing, hardware selection, and AI integration, suitable for makers and AI developers.
Test file to verify the functionality of the Grimoire 2-9 module under the Legendary Leaks project.
This document lists all 75 projects organized by chapters, covering a complete learning path from basic programming to advanced AI tool usage. Content is divided into multiple parts: Introduction & Setup, Beginner Spells, Conjuring & Prompt-gramming, Forbidden Spells, Flying Lessons, Alchemy, Traditional Coding Concepts Review, Data Structures & Algorithms, Code Architecture, and Book of Life. Each project provides specific learning objectives and practical content.
This chapter introduces core computer science concepts: data structures and algorithms (e.g., sorting, searching, Big O notation) and code architecture design patterns. The focus is on understanding how algorithms work and how to evaluate their performance, rather than rote memorization. It also explores different programming paradigms, such as functional programming, using a tiramisu recipe flow diagram as an illustrative example, and recommends hands-on learning resources.
Grimoire 2.9 introduces new features including enabling ChatGPT Canvas, improving tool calling with GPT-4o and 4o mini, updating hotkey menus for reliability, adding new conversation starters, and refining prompts to enhance code generation stability.
A challenge to launch an internet business with minimal effort, involving setting up payment links, creating online stores, and incorporating a business. Includes generating a themed background image using DALL-E.
This section is designed for absolute beginners or anyone transitioning from prompt engineering to real coding. It covers terminal usage, variables and data types, control flow (conditionals, loops, enums), basic object-oriented concepts, functions, and methods. Each concept includes simple test programs to verify understanding.
This section covers several projects related to AI agents and code interpreters, including BabyAgi, Smol-dev, Aider.chat, Julius.ai, and Open Interpreter. These tools demonstrate how large language models can be combined with looping task lists for automated programming and data analysis, introducing new forms like Hivemind and Claude Artifacts.