Prompt 工程工具排行

Source code for the IBM Granite AI Model Workshop

Grompt is a Python utility that uses the Groq LLM provider service to instantly refactor amazingly detailed and effective prompts. It's designed to optimize user prompts for better results when working with large language models.

Responsible Prompting is an LLM-agnostic tool that aims at dynamically supporting users in crafting prompts that embed responsible intentions and help avoid harmful, adversarial prompts.

A Codex skill that keeps human outcomes and creative intent ahead of overengineering.

🎭 cc-best: Turn Claude Code into a full dev team — PM→Lead→Dev→QA autonomous workflow. 44 commands · 19 skills · 8 agents · 43 rules · 30 hooks · auto-learning pipeline. | 一个插件，完整开发团队。

A vibe coded Sora JSON Prompt Crafter for curious humans and prompt engineers

An opinionated ecosystem of rules, skills, and steerings to elevate Delphi development to a state-of-the-art level with Artificial Intelligence.

Supercharge Open WebUI with AI-powered prompt generation, spotlight-style search, and interactive variable forms.

Dory treats hosted LLM interfaces as disposable tools by offloading state to your local environment and enforcing atomic sessions.

jailbreakme.xyz is an open-source decentralized app (dApp) where users are challenged to try and jailbreak pre-existing LLMs in order to find weaknesses and be rewarded. 🏆

A macOS tool to build long-context prompts for models like OpenAI o3 and Gemini 2.5.

A modular narrative simulation architecture based on the Single Responsibility Principle (SRP). Dozens of independent prompt modules interact to generate complex, dynamic stories. Optimized for the prompt adherence and large context of Google's Gemini 2.5 Pro to ensure stability, scalability, and maintainability. licensed under Apache-2.0 license

VS Code extension for managing, sharing, and installing AI primitives (Agents, Skills, Prompts, Instructions, MCP) collections for GitHub Copilot and other AI assistants

A structured failure-analysis workflow that assumes your plan already failed and works backward to find every reason why. Based on Gary Klein's premortem method (Harvard Business Review), validated by prospective-hindsight research from Wharton and Cornell

💬 Prompt Engineering: Patterns and Techniques

[ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer

Build production ready apps for GPT using Node.js & TypeScript

High-performance computer vision implementation featuring real-time image segmentation matrices, dynamic alpha-channel compositing, and automated tensor boundary cropping pipelines.

AI-powered mock interview simulator for Tech & Behavioral rounds. Master German & English job interviews using the STAR method in complete privacy before taking real offers.

Universal AI behavior rule framework — pin your 5-10 rules so AI doesn't drift in long tasks. Dev-scenario preset built in; switch to any scenario in one line. Claude / Codex / Cursor / Hermes. Zero LLM, zero network, zero deps.