Today's Prompt Engineering: Fastest-Growing Projects — July 31, 2026
Today's Prompt Engineering, we see a blend of innovative approaches to managing and enhancing interactions with large language models (LLMs). From collections of leaked prompts to sophisticated toolkits aimed at improving software development processes, the space is dynamic and diverse. The standout projects this week include a repository that curates behavioral guardrails for LLMs based on expert advice and another focused on refining AI-generated content in traditional Chinese.
First up is "leaked-llm-prompts" by Eversmile12, which compiles collections of leaked prompts for various LLMs. The project has seen a significant growth score of 76.86 with 329 stars, likely due to the high interest in understanding and leveraging internal AI systems' capabilities.
Next is "andrej-karpathy-skills" by 0xwilliamortiz, which distills insights from Andrej Karpathy's field notes into behavioral guardrails for LLMs. This repository has garnered 545 stars, reflecting its value in guiding developers on how to better manage and utilize AI models when writing software.
"Speak-Human-TW" by Raymondhou0917 is a skill designed to refine AI-generated text in Traditional Chinese, identifying common AI patterns and correcting them for clarity. With 725 stars, it stands out due to its practical application in improving the readability of machine-generated content.
Levi-qiao's "octopus-skill" offers a versatile prompt library for long-term agent work, integrating with multiple platforms like Claude Code and Codex. The project's growth score of 19.00 reflects ongoing development activity and interest in extending AI capabilities across different applications.
Lololerigolo60’s “Prompt-architect” is a Python desktop app that leverages local Ollama LLMs to analyze text and images, extracting visual descriptions into optimized JSON prompts for generative AI tasks. With 43 stars, the project's growth score of 18.83 indicates steady interest in its ability to streamline prompt creation processes.
"Coding-with-base44" by cporter202 is a beginner-friendly guide designed to help non-coders build and launch apps using Base44 with plain-English prompts and practical examples. With a growth score of 16.83, the project's low commit activity might be slowing its growth despite its simplicity and accessibility.
Emadd’s "mise-en-claude" provides a paste-in prompt for setting up or rescuing projects' engineering foundations. The repository has gained 50 stars, likely due to its utility in establishing robust project structures with consent-first principles.
"Growth-marketing-os" by growthack88 offers an open-source platform with AI marketing prompts and playbooks aimed at enhancing growth strategies. With 66 stars and a solid growth score of 10.71, the project’s ongoing development suggests strong community interest in its comprehensive approach to leveraging AI for marketing purposes.
V-Songbird's "foreman" is a prompt-engineering plugin that helps craft professional XML prompts and track tasks. Attracting 27 stars with a moderate growth score of 10.19, it highlights the demand for tools that simplify project management through advanced prompting techniques.
Finally, Amir Mushichge’s “cinematic-scroll-prompt-kit” provides reusable AI prompt systems for creating cinematic scroll-driven 2.5D websites. With an impressive 190 stars and a growth score of 9.36, this project's popularity underscores the growing interest in integrating sophisticated visual effects into web design through AI.
These projects collectively demonstrate the expanding scope of Prompt Engineering, ranging from foundational toolkits to specialized applications that cater to niche needs within software development and creative industries.
First up is "leaked-llm-prompts" by Eversmile12, which compiles collections of leaked prompts for various LLMs. The project has seen a significant growth score of 76.86 with 329 stars, likely due to the high interest in understanding and leveraging internal AI systems' capabilities.
Next is "andrej-karpathy-skills" by 0xwilliamortiz, which distills insights from Andrej Karpathy's field notes into behavioral guardrails for LLMs. This repository has garnered 545 stars, reflecting its value in guiding developers on how to better manage and utilize AI models when writing software.
"Speak-Human-TW" by Raymondhou0917 is a skill designed to refine AI-generated text in Traditional Chinese, identifying common AI patterns and correcting them for clarity. With 725 stars, it stands out due to its practical application in improving the readability of machine-generated content.
Levi-qiao's "octopus-skill" offers a versatile prompt library for long-term agent work, integrating with multiple platforms like Claude Code and Codex. The project's growth score of 19.00 reflects ongoing development activity and interest in extending AI capabilities across different applications.
Lololerigolo60’s “Prompt-architect” is a Python desktop app that leverages local Ollama LLMs to analyze text and images, extracting visual descriptions into optimized JSON prompts for generative AI tasks. With 43 stars, the project's growth score of 18.83 indicates steady interest in its ability to streamline prompt creation processes.
"Coding-with-base44" by cporter202 is a beginner-friendly guide designed to help non-coders build and launch apps using Base44 with plain-English prompts and practical examples. With a growth score of 16.83, the project's low commit activity might be slowing its growth despite its simplicity and accessibility.
Emadd’s "mise-en-claude" provides a paste-in prompt for setting up or rescuing projects' engineering foundations. The repository has gained 50 stars, likely due to its utility in establishing robust project structures with consent-first principles.
"Growth-marketing-os" by growthack88 offers an open-source platform with AI marketing prompts and playbooks aimed at enhancing growth strategies. With 66 stars and a solid growth score of 10.71, the project’s ongoing development suggests strong community interest in its comprehensive approach to leveraging AI for marketing purposes.
V-Songbird's "foreman" is a prompt-engineering plugin that helps craft professional XML prompts and track tasks. Attracting 27 stars with a moderate growth score of 10.19, it highlights the demand for tools that simplify project management through advanced prompting techniques.
Finally, Amir Mushichge’s “cinematic-scroll-prompt-kit” provides reusable AI prompt systems for creating cinematic scroll-driven 2.5D websites. With an impressive 190 stars and a growth score of 9.36, this project's popularity underscores the growing interest in integrating sophisticated visual effects into web design through AI.
These projects collectively demonstrate the expanding scope of Prompt Engineering, ranging from foundational toolkits to specialized applications that cater to niche needs within software development and creative industries.