Today's Prompt Engineering: Fastest-Growing Projects — August 01, 2026
This week, the Prompt Engineering space continues to buzz with activity as developers and researchers refine techniques for guiding AI models more effectively through tailored prompts. The community remains engaged in creating comprehensive libraries of prompts aimed at addressing specific challenges, such as software development pitfalls and removing AI jargon from text.
The repository "leaked-llm-prompts" by Eversmile12 gathers a collection of leaked prompts designed to test the limits of large language models (LLMs). With a growth score of 67.19 and 328 stars, this repository likely gains traction due to its unique approach in providing insights into how LLMs are being pushed beyond their typical use cases.
"andrej-karpathy-skills," maintained by 0xwilliamortiz, offers behavioral guardrails for Claude Code based on Andrej Karpathy's field notes about common mistakes made when using LLMs to write software. With a growth score of 38.68 and 545 stars, the repository’s relevance in addressing practical coding issues likely fuels its popularity.
"Raymondhou0917/speak-human-tw" aims to strip AI-generated text of machine-like language while correcting Chinese usage and punctuation for Claude Code, Codex, Cursor, among others. With a growth score of 24.38 and 729 stars, the repository’s focus on improving readability and removing technical jargon resonates well with its audience.
"levi-qiao/octopus-skill" presents an extensive library of curated prompts for long-horizon agent work across various hosts including Claude Code, grok, Cursor, and Codex. The project's growth score of 19.15 alongside 39 stars suggests that the multifaceted approach to prompt engineering is attracting interest from those looking for versatile solutions.
"Prompt-architect," developed by lololerigolo60, leverages local Ollama LLMs to analyze raw texts and images, converting them into structured JSON prompts optimized for generative AI. Its growth score of 16.14 with 43 stars indicates that developers are keen on tools that automate the process of crafting effective prompts.
"cporter202/vibe-coding-with-base44" provides a beginner-friendly guide to building and launching apps using Base44, an approach that utilizes plain-English prompts and practical examples for those without coding experience. With a growth score of 12.75 and 36 stars, the repository’s accessibility is appealing to novice developers.
"emadd/mise-en-claude" offers a paste-in prompt for setting up or rescuing project engineering foundations with consent-first principles. Its growth score of 12.45 and 50 stars suggest that developers appreciate its comprehensive approach to establishing strong project foundations from the outset.
"V-Songbird/foreman" serves as a plugin for crafting professional XML prompts, surveying tasks, and tracking progress within projects. The repository’s focus on prompt engineering and task management with a growth score of 9.78 and 27 stars highlights its utility in managing complex project workflows.
The "cinematic-scroll-prompt-kit" by amirmushichge is designed for creating cinematic scroll-driven 2.5D websites through reusable AI prompts and project brief systems. With a growth score of 8.73 and 190 stars, the repository’s innovative approach to web design captures significant interest among developers.
Lastly, "nomaan5541/motionsites-prompt-collection" compiles 470 AI web design prompts for generating stunning landing pages quickly using platforms like Bolt.new, v0, GPT-Engineer. With a growth score of 7.10 and 56 stars, the repository’s extensive library of design prompts is proving valuable to those seeking rapid prototyping solutions.
These tools collectively demonstrate the evolving landscape of prompt engineering, highlighting efforts to refine, automate, and innovate in how developers interact with AI models for diverse applications ranging from software development to creative content generation.
The repository "leaked-llm-prompts" by Eversmile12 gathers a collection of leaked prompts designed to test the limits of large language models (LLMs). With a growth score of 67.19 and 328 stars, this repository likely gains traction due to its unique approach in providing insights into how LLMs are being pushed beyond their typical use cases.
"andrej-karpathy-skills," maintained by 0xwilliamortiz, offers behavioral guardrails for Claude Code based on Andrej Karpathy's field notes about common mistakes made when using LLMs to write software. With a growth score of 38.68 and 545 stars, the repository’s relevance in addressing practical coding issues likely fuels its popularity.
"Raymondhou0917/speak-human-tw" aims to strip AI-generated text of machine-like language while correcting Chinese usage and punctuation for Claude Code, Codex, Cursor, among others. With a growth score of 24.38 and 729 stars, the repository’s focus on improving readability and removing technical jargon resonates well with its audience.
"levi-qiao/octopus-skill" presents an extensive library of curated prompts for long-horizon agent work across various hosts including Claude Code, grok, Cursor, and Codex. The project's growth score of 19.15 alongside 39 stars suggests that the multifaceted approach to prompt engineering is attracting interest from those looking for versatile solutions.
"Prompt-architect," developed by lololerigolo60, leverages local Ollama LLMs to analyze raw texts and images, converting them into structured JSON prompts optimized for generative AI. Its growth score of 16.14 with 43 stars indicates that developers are keen on tools that automate the process of crafting effective prompts.
"cporter202/vibe-coding-with-base44" provides a beginner-friendly guide to building and launching apps using Base44, an approach that utilizes plain-English prompts and practical examples for those without coding experience. With a growth score of 12.75 and 36 stars, the repository’s accessibility is appealing to novice developers.
"emadd/mise-en-claude" offers a paste-in prompt for setting up or rescuing project engineering foundations with consent-first principles. Its growth score of 12.45 and 50 stars suggest that developers appreciate its comprehensive approach to establishing strong project foundations from the outset.
"V-Songbird/foreman" serves as a plugin for crafting professional XML prompts, surveying tasks, and tracking progress within projects. The repository’s focus on prompt engineering and task management with a growth score of 9.78 and 27 stars highlights its utility in managing complex project workflows.
The "cinematic-scroll-prompt-kit" by amirmushichge is designed for creating cinematic scroll-driven 2.5D websites through reusable AI prompts and project brief systems. With a growth score of 8.73 and 190 stars, the repository’s innovative approach to web design captures significant interest among developers.
Lastly, "nomaan5541/motionsites-prompt-collection" compiles 470 AI web design prompts for generating stunning landing pages quickly using platforms like Bolt.new, v0, GPT-Engineer. With a growth score of 7.10 and 56 stars, the repository’s extensive library of design prompts is proving valuable to those seeking rapid prototyping solutions.
These tools collectively demonstrate the evolving landscape of prompt engineering, highlighting efforts to refine, automate, and innovate in how developers interact with AI models for diverse applications ranging from software development to creative content generation.