Tags: #prompt-engineering

A powerful AI prompt optimization tool designed to enhance AI output quality by intelligently refining prompts across various models and platforms.

Coze Loop is an open-source, full-lifecycle management platform for AI agent development, debugging, evaluation, and monitoring.

A free and open-source platform for discovering, sharing, and collecting high-quality AI prompts, supporting various large language models.

Gitingest transforms any Git repository or local codebase into a prompt-friendly text digest, optimized for use with Large Language Models.

An open-source framework that organizes AI prompts by real-world tasks to solve AI integration challenges and augment human capabilities.

A comprehensive repository offering 22 hands-on Jupyter Notebook tutorials on prompt engineering techniques for leveraging large language models.

BAML is an AI framework that transforms prompt engineering into schema engineering, enabling developers to build reliable, type-safe AI workflows and agents across multiple programming languages.

A structured, community-driven learning platform designed to make complex applied AI concepts accessible and practical for everyone.

A comprehensive, hand-curated collection of resources for Prompt Engineering and Context Engineering, covering papers, tools, models, APIs, and courses for Large Language Models.

A curated collection of high-quality prompts, advanced engineering frameworks, and research papers to master effective interaction with large language models.

An open-source LLMOps platform integrating prompt management, evaluation, and observability to accelerate reliable LLM application development.

A comprehensive platform for end-to-end testing, simulation, evaluation, and monitoring of LLM-powered agents.

A curated collection of high-fidelity prompts and resources for mastering the Nano Banana Pro AI image model.

A powerful CLI tool and ecosystem to convert entire codebases into structured, token-counted prompts for Large Language Models.

A comprehensive development suite for building, testing, evaluating, deploying, and monitoring high-quality LLM-based AI applications.

A comprehensive collection of GPT system prompts and prompt injection knowledge, designed to enhance prompt engineering skills and AI security awareness.

A comprehensive open-source resource hub summarizing LLM and Prompt Engineering research papers, datasets, models, and AIGC applications.

A Claude skill designed to generate precise, token-efficient prompts for any AI tool, eliminating wasted credits and re-prompting while maintaining full context.

A Python library for task-based NLP using LLMs, providing structured outputs, universal LLM backend support, and built-in evaluation.

A comprehensive guide and resource hub for prompt engineering, context engineering, RAG, and AI Agents, designed to empower developers and researchers in leveraging large language models.

A prompt rewriting tool that refines user prompts into clearer, structured versions to enhance the quality of text-to-image generation and image-to-image editing.

A config-based framework for building, managing, and iterating on generative AI applications by separating AI behavior from application code.

A comprehensive collection of resources focusing on LLM prompt security, jailbreaks, prompt leaks, and advanced prompt engineering techniques.

An open-source, self-hostable toolkit for testing, experimenting with, and evaluating prompts, large language models (LLMs), and vector databases.

LangGPT is a structured, reusable prompt design framework that transforms chaotic prompt engineering into a systematic, template-based methodology for creating high-quality prompts for Large Language Models.

A permanently free and open-source AIGC course platform covering prompt engineering, generative AI tools like ChatGPT, Midjourney, Stable Diffusion, and advanced topics such as LLM fine-tuning and AI agents.