Today's Prompt Engineering: Fastest-Growing Projects — October 22, 2026
Today's the Prompt Engineering space, we see a mix of repositories focusing on various applications such as bug bounty hunting, reverse engineering, and AI safety research. The community continues to explore innovative ways to leverage large language models (LLMs) for diverse tasks through structured prompts and templates. Leading this week is mdpsec's "bug-bounty-hunting-prompts," which offers a robust set of reusable prompts designed to streamline the bug bounty hunting process.
mdpsec/bug-bounty-hunting-prompts
This repository provides reusable prompts that guide users in creating an evidence-first workflow for structured bug bounty hunting. With over 700 stars and a growth score of 27.14, it's clear that security professionals find these prompts invaluable for enhancing their vulnerability discovery efforts.
JoasASantos/REA-Prompts
Prompts are provided to help users effectively use REA (Reverse Engineer Anything) to reverse engineer any program, clone, or break down software efficiently. With 1,329 stars and a growth score of 18.63, this repository stands out for its comprehensive approach to reverse engineering with AI.
wousp112/awesome-justin-sun-ideas-to-ai-howto
This project translates ideas from interviews into practical AI tutorials using prompts designed to streamline implementation processes. With a growth score of 13.54 and 178 stars, it caters to those looking for hands-on guidance in applying AI solutions based on expert advice.
e2sy/jailbreak-archives
Focused on adversarial prompt engineering techniques against large language models, this repository serves as a structured archive aimed at advancing research in AI safety. With a growth score of 5.77 and 50 stars, it highlights the importance of defensive strategies within AI development.
menonpg/ste-prompt
This plugin for Claude Code, Codex & coding agents simplifies technical English output to ensure clarity and unambiguity from LLMs. Its moderate growth score of 3.54 alongside 39 stars indicates its utility in enhancing the precision of language models’ responses.
TripoGrowthLab/awesome-opus-5-5-prompts
A collection of prompts tailored for Claude Opus 5.5 to create content across various domains such as 3D scenes, games, and simulations. With a growth score of 2.90 and 75 stars, this repository reflects the growing interest in leveraging AI for creative industries.
barnabywren3/minimax-h3-prompts
This project offers MiniMax H3 prompt and agent skill patterns for video generation and other tasks. Its focus on API lifecycle management and error handling is evident with a growth score of 1.44 and 34 stars, suggesting it’s gaining traction among developers.
khalidllogic/AI-Prompt-Engineering
Curated templates to optimize AI workflows and productivity by leveraging LLMs are provided in this repository. With a growth score of 1.22 and 35 stars, it underscores the growing demand for efficient prompt engineering practices.
Li-Evan/awesome-opus-5.5-video-prompts
A repository containing verified prompts used to create videos with Claude Opus 5.5, complete with previews and translations. Its growth score of 0.92 alongside 22 stars signifies its relevance in the video creation space through AI.
These repositories highlight the dynamic range of applications for prompt engineering within the broader AI ecosystem, demonstrating both practical utility and innovative potential across various industries and use cases.
mdpsec/bug-bounty-hunting-prompts
This repository provides reusable prompts that guide users in creating an evidence-first workflow for structured bug bounty hunting. With over 700 stars and a growth score of 27.14, it's clear that security professionals find these prompts invaluable for enhancing their vulnerability discovery efforts.
JoasASantos/REA-Prompts
Prompts are provided to help users effectively use REA (Reverse Engineer Anything) to reverse engineer any program, clone, or break down software efficiently. With 1,329 stars and a growth score of 18.63, this repository stands out for its comprehensive approach to reverse engineering with AI.
wousp112/awesome-justin-sun-ideas-to-ai-howto
This project translates ideas from interviews into practical AI tutorials using prompts designed to streamline implementation processes. With a growth score of 13.54 and 178 stars, it caters to those looking for hands-on guidance in applying AI solutions based on expert advice.
e2sy/jailbreak-archives
Focused on adversarial prompt engineering techniques against large language models, this repository serves as a structured archive aimed at advancing research in AI safety. With a growth score of 5.77 and 50 stars, it highlights the importance of defensive strategies within AI development.
menonpg/ste-prompt
This plugin for Claude Code, Codex & coding agents simplifies technical English output to ensure clarity and unambiguity from LLMs. Its moderate growth score of 3.54 alongside 39 stars indicates its utility in enhancing the precision of language models’ responses.
TripoGrowthLab/awesome-opus-5-5-prompts
A collection of prompts tailored for Claude Opus 5.5 to create content across various domains such as 3D scenes, games, and simulations. With a growth score of 2.90 and 75 stars, this repository reflects the growing interest in leveraging AI for creative industries.
barnabywren3/minimax-h3-prompts
This project offers MiniMax H3 prompt and agent skill patterns for video generation and other tasks. Its focus on API lifecycle management and error handling is evident with a growth score of 1.44 and 34 stars, suggesting it’s gaining traction among developers.
khalidllogic/AI-Prompt-Engineering
Curated templates to optimize AI workflows and productivity by leveraging LLMs are provided in this repository. With a growth score of 1.22 and 35 stars, it underscores the growing demand for efficient prompt engineering practices.
Li-Evan/awesome-opus-5.5-video-prompts
A repository containing verified prompts used to create videos with Claude Opus 5.5, complete with previews and translations. Its growth score of 0.92 alongside 22 stars signifies its relevance in the video creation space through AI.
These repositories highlight the dynamic range of applications for prompt engineering within the broader AI ecosystem, demonstrating both practical utility and innovative potential across various industries and use cases.