An AI prompt optimizer for writing better prompts and getting better AI results.
The most customisable and low-latency cross platform/shell prompt renderer
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
This repo includes Claude prompt curation to use Claude better.
Free prompt engineering online course. ChatGPT and Midjourney tutorials are now included!
An Open-Source Framework for Prompt-Learning.
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
A full-featured & carefully designed adaptive prompt for Bash & Zsh
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
Must-read papers on prompt-based tuning for pre-trained language models.
CLI for SQLite Databases with auto-completion and syntax highlighting
Jupyter notebooks in the terminal
A Python module for common interactive command line user interfaces
A playground of highly experimental prompts, Jinja2 templates & scripts for machine intelligence models from OpenAI, Anthropic, DeepSeek, Meta, Mistral, Google, xAI & others. Author: Alex Bilzerian (2022-present).
一款包含了 Prompt管理，Skill管理，Agent管理的一站式AI工具箱，助你高效管理提示词，一键分发skills ，一站式管理Agent资产，并实现云同步，备份，版本管理 | An all-in-one AI toolbox for prompt, agent, and skills management. Reuse prompts, distribute skills with one click, manage agent assets, and support cloud sync, backup, and version control
Prompt工程师指南，源自英文版，但增加了AIGC的prompt部分，为了降低同学们的学习门槛，翻译更新
A simple standalone viewer for reading prompts from Stable Diffusion generated image outside the webui.
Promptr is a CLI tool that applies plain language instructions to the filesystem. Instructions can utilize a liquidjs based templating system. Use cases include refactoring, code generation, and experimentation.
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