Today's Prompt Engineering: Fastest-Growing Projects — August 03, 2026
Today's the Prompt Engineering space, there's a noticeable trend towards creating comprehensive libraries and frameworks that help developers and designers craft more effective AI prompts for various applications, from software engineering to web design. One such project stands out as it collects leaked large language model (LLM) prompts, aiming to provide insights into how these models are trained and used.
Eversmile12/leaked-llm-prompts is a repository collecting leaked LLM prompts. With a Growth Score of 54.20 and 328 stars, this project captures the interest of those who want to understand the training data behind large language models.
0xwilliamortiz/andrej-karpathy-skills distills behavioral guardrails for Claude Code from Andrej Karpathy's field notes on where LLMs falter when writing software. This repository, with a Growth Score of 33.00 and 549 stars, is growing due to its valuable insights into improving the reliability of AI-generated code.
Raymondhou0917/speak-human-tw aims to demystify AI-written text in traditional Chinese by identifying common patterns and correcting them. With a Growth Score of 22.83 and 734 stars, this tool is gaining traction for its ability to make AI-generated content more human-readable.
levi-qiao/octopus-skill offers a versatile prompt library designed for long-horizon agent work, curated across multiple hosts like Claude Code and Codex. Its Growth Score of 19.47 and 41 stars indicate it is being recognized for its comprehensive approach to multi-tasking with AI prompts.
lololerigolo60/Prompt-architect is a Python desktop app that uses local Ollama LLMs to analyze raw texts and images, extracting visual descriptions into optimized JSON prompts. With a Growth Score of 12.56 and 43 stars, this tool is growing due to its utility in structuring data for generative AI applications.
emadd/mise-en-claude provides a paste-in prompt that sets up or rescues project engineering foundations such as git workflows and CLAUDE.md files. Its Growth Score of 11.29 and 51 stars suggest it is gaining traction for its robustness in establishing solid engineering practices.
V-Songbird/foreman offers a plugin for crafting professional XML prompts, picking tasks, and tracking progress. With a Growth Score of 9.06 and 27 stars, this tool's growth reflects the demand for more structured and efficient prompt engineering processes.
cporter202/vibe-coding-with-base44 serves as a beginner-friendly guide to building apps using plain-English prompts without coding experience. Its Growth Score of 9.00 and 39 stars indicate its appeal to those looking to leverage AI for app development with minimal technical expertise.
amirmushichge/cinematic-scroll-prompt-kit is designed to create reusable AI prompt systems for cinematic scroll-driven 2.5D websites, featuring a project brief system. With a Growth Score of 7.88 and 193 stars, this kit's popularity underscores the demand for innovative web design solutions.
Lastly, nomaan5541/motionsites-prompt-collection provides over 400 AI web design prompts to generate stunning landing pages quickly. Its Growth Score of 6.73 and 62 stars highlight its value in speeding up the web design process with pre-crafted templates and original designs.
Overall, these tools reflect a growing interest in optimizing how we interact with large language models through prompt engineering, aiming to make AI more accessible, reliable, and creative across various domains.
Eversmile12/leaked-llm-prompts is a repository collecting leaked LLM prompts. With a Growth Score of 54.20 and 328 stars, this project captures the interest of those who want to understand the training data behind large language models.
0xwilliamortiz/andrej-karpathy-skills distills behavioral guardrails for Claude Code from Andrej Karpathy's field notes on where LLMs falter when writing software. This repository, with a Growth Score of 33.00 and 549 stars, is growing due to its valuable insights into improving the reliability of AI-generated code.
Raymondhou0917/speak-human-tw aims to demystify AI-written text in traditional Chinese by identifying common patterns and correcting them. With a Growth Score of 22.83 and 734 stars, this tool is gaining traction for its ability to make AI-generated content more human-readable.
levi-qiao/octopus-skill offers a versatile prompt library designed for long-horizon agent work, curated across multiple hosts like Claude Code and Codex. Its Growth Score of 19.47 and 41 stars indicate it is being recognized for its comprehensive approach to multi-tasking with AI prompts.
lololerigolo60/Prompt-architect is a Python desktop app that uses local Ollama LLMs to analyze raw texts and images, extracting visual descriptions into optimized JSON prompts. With a Growth Score of 12.56 and 43 stars, this tool is growing due to its utility in structuring data for generative AI applications.
emadd/mise-en-claude provides a paste-in prompt that sets up or rescues project engineering foundations such as git workflows and CLAUDE.md files. Its Growth Score of 11.29 and 51 stars suggest it is gaining traction for its robustness in establishing solid engineering practices.
V-Songbird/foreman offers a plugin for crafting professional XML prompts, picking tasks, and tracking progress. With a Growth Score of 9.06 and 27 stars, this tool's growth reflects the demand for more structured and efficient prompt engineering processes.
cporter202/vibe-coding-with-base44 serves as a beginner-friendly guide to building apps using plain-English prompts without coding experience. Its Growth Score of 9.00 and 39 stars indicate its appeal to those looking to leverage AI for app development with minimal technical expertise.
amirmushichge/cinematic-scroll-prompt-kit is designed to create reusable AI prompt systems for cinematic scroll-driven 2.5D websites, featuring a project brief system. With a Growth Score of 7.88 and 193 stars, this kit's popularity underscores the demand for innovative web design solutions.
Lastly, nomaan5541/motionsites-prompt-collection provides over 400 AI web design prompts to generate stunning landing pages quickly. Its Growth Score of 6.73 and 62 stars highlight its value in speeding up the web design process with pre-crafted templates and original designs.
Overall, these tools reflect a growing interest in optimizing how we interact with large language models through prompt engineering, aiming to make AI more accessible, reliable, and creative across various domains.