Today's Prompt Engineering: Fastest-Growing Projects — October 28, 2026
Today's Prompt Engineering, there's a noticeable uptick in repositories focusing on creative and practical applications of AI prompts across various domains like cybersecurity, reverse engineering, and general productivity. The repository "bug-bounty-hunting-prompts" stands out with its structured approach to bug bounty hunting through reusable prompts, earning it a significant growth score despite fewer recent commits. JoasASantos' "REA-Prompts" offers an extensive collection of prompts for the REA tool, enabling users to reverse engineer any program and has garnered substantial interest, evident from its high star count and consistent updates.
The mdpsec/bug-bounty-hunting-prompts repository provides reusable prompts designed to streamline bug bounty hunting by focusing on a structured, evidence-first workflow. Its growth score of 22.59 highlights a growing community interest in leveraging AI for more efficient cybersecurity practices, despite fewer commits over the past month.
JoasASantos/REA-Prompts is another standout project with its collection of prompts aimed at enhancing users' ability to reverse engineer software through the REA framework. The repository's impressive growth score of 14.61 and a staggering 2,988 stars indicate robust engagement from developers seeking innovative ways to analyze and understand codebases.
wousp112/awesome-justin-sun-ideas-to-ai-howto translates insights from interviews with Justin Sun into practical AI tutorials and prompt templates for implementing his ideas. The growth score of 9.63 and 189 stars suggest that developers are increasingly interested in applying real-world scenarios to their AI projects, seeking actionable guidance.
Work-Fisher/fisher-moss-prompt-expander helps users expand their ideas into detailed image prompts using Chinese SKILL and ComfyUI templates, aiming for more creative output from AI systems. The repository's growth score of 7.50 reflects steady interest in leveraging advanced language skills to enhance visual creativity through AI.
e2sy/jailbreak-archives compiles structured archives of adversarial prompt engineering techniques designed to test the robustness of large language models (LLMs). With a moderate growth score of 5.32 and 70 stars, this repository draws attention from researchers interested in enhancing AI safety measures through rigorous testing.
menonpg/ste-prompt integrates Simplified Technical English (STE100) into coding agents like Claude Code and Codex to produce clearer, unambiguous outputs. Its growth score of 2.52 and 41 stars indicate a growing need for precise communication in technical AI applications.
doublesq97-ui/bot-team-playbook outlines strategies for managing bot teams with customizable prompts tailored to different personas, aiming to streamline collaboration between humans and bots. The repository's modest growth score of 2.00 suggests ongoing interest in optimizing human-bot interaction workflows.
barnabywren3/minimax-h3-prompts offers a variety of prompt templates and agent skill patterns for video generation, creative input, API lifecycle management, error handling, and post-processing tasks using MiniMax H3 technology. With a growth score of 1.08, this repository is gaining traction among developers looking to leverage advanced AI capabilities in media production.
khalidllogic/AI-Prompt-Engineering presents an extensive collection of prompt engineering templates aimed at optimizing large language models for various AI workflows and enhancing productivity. Its steady growth score of 1.00 reflects a consistent demand for curated, high-quality prompts to improve the efficiency of AI systems across different industries.
These repositories showcase the diverse applications and growing importance of prompt engineering in advancing AI capabilities and fostering innovation across multiple fields.
The mdpsec/bug-bounty-hunting-prompts repository provides reusable prompts designed to streamline bug bounty hunting by focusing on a structured, evidence-first workflow. Its growth score of 22.59 highlights a growing community interest in leveraging AI for more efficient cybersecurity practices, despite fewer commits over the past month.
JoasASantos/REA-Prompts is another standout project with its collection of prompts aimed at enhancing users' ability to reverse engineer software through the REA framework. The repository's impressive growth score of 14.61 and a staggering 2,988 stars indicate robust engagement from developers seeking innovative ways to analyze and understand codebases.
wousp112/awesome-justin-sun-ideas-to-ai-howto translates insights from interviews with Justin Sun into practical AI tutorials and prompt templates for implementing his ideas. The growth score of 9.63 and 189 stars suggest that developers are increasingly interested in applying real-world scenarios to their AI projects, seeking actionable guidance.
Work-Fisher/fisher-moss-prompt-expander helps users expand their ideas into detailed image prompts using Chinese SKILL and ComfyUI templates, aiming for more creative output from AI systems. The repository's growth score of 7.50 reflects steady interest in leveraging advanced language skills to enhance visual creativity through AI.
e2sy/jailbreak-archives compiles structured archives of adversarial prompt engineering techniques designed to test the robustness of large language models (LLMs). With a moderate growth score of 5.32 and 70 stars, this repository draws attention from researchers interested in enhancing AI safety measures through rigorous testing.
menonpg/ste-prompt integrates Simplified Technical English (STE100) into coding agents like Claude Code and Codex to produce clearer, unambiguous outputs. Its growth score of 2.52 and 41 stars indicate a growing need for precise communication in technical AI applications.
doublesq97-ui/bot-team-playbook outlines strategies for managing bot teams with customizable prompts tailored to different personas, aiming to streamline collaboration between humans and bots. The repository's modest growth score of 2.00 suggests ongoing interest in optimizing human-bot interaction workflows.
barnabywren3/minimax-h3-prompts offers a variety of prompt templates and agent skill patterns for video generation, creative input, API lifecycle management, error handling, and post-processing tasks using MiniMax H3 technology. With a growth score of 1.08, this repository is gaining traction among developers looking to leverage advanced AI capabilities in media production.
khalidllogic/AI-Prompt-Engineering presents an extensive collection of prompt engineering templates aimed at optimizing large language models for various AI workflows and enhancing productivity. Its steady growth score of 1.00 reflects a consistent demand for curated, high-quality prompts to improve the efficiency of AI systems across different industries.
These repositories showcase the diverse applications and growing importance of prompt engineering in advancing AI capabilities and fostering innovation across multiple fields.