Today's Prompt Engineering: Fastest-Growing Projects — October 25, 2026
Today's the Prompt Engineering space, there's a notable uptick in repositories focusing on structured workflows and creative applications of AI-driven prompts across various domains such as bug bounty hunting, reverse engineering, and video generation. The top repository this week is "bug-bounty-hunting-prompts" by mdpsec, which provides reusable prompts for an organized approach to finding vulnerabilities.
The repository "bug-bounty-hunting-prompts" offers a collection of prompts designed to streamline the process of conducting bug bounty hunts with a focus on evidence-based methodologies. With its growth score of 24.72 and over 759 stars, it stands out due to its practical application in cybersecurity and the structured workflow it provides for ethical hackers.
JoasASantos's "REA-Prompts" is another standout tool this week, offering a variety of prompts designed to help users reverse-engineer anything using REA (Reverse Engineer Anything). Its growth score of 15.25 and over 2,062 stars indicate its popularity among developers looking for comprehensive guides to break down or clone programs efficiently.
"Wousp112's 'awesome-justin-sun-ideas-to-ai-howto'" translates ideas from interviews with Justin Sun into practical AI tutorials. This repository has gained traction with a growth score of 11.25 and 183 stars, suggesting its value in providing actionable insights for implementing advanced AI concepts.
"Work-Fisher's 'fisher-moss-prompt-expander'" utilizes Chinese skills to expand ideas into detailed image prompts using ComfyUI templates. With a growth score of 10.25 and 49 stars, this tool is growing due to its unique approach in combining language understanding with visual creativity.
"e2sy's 'jailbreak-archives'" compiles adversarial prompt engineering techniques against large language models for AI safety research. This repository has seen a growth score of 5.62 and 59 stars as it addresses critical aspects of ethical AI development, drawing interest from researchers concerned with AI security.
"Menonpg's 'ste-prompt'" integrates Simplified Technical English (STE100) into coding agents like Claude Code to ensure clear and unambiguous outputs. With a growth score of 2.97 and 41 stars, it appeals to developers seeking precise communication through language models.
"doublesq97-ui's 'bot-team-playbook'" provides copy-ready prompts for various bot personas within a team setting. This repository has attracted interest with its unique approach to managing bot teams, evident from its growth score of 2.79 and 21 stars.
"barnabywren3's 'minimax-h3-prompts'" offers patterns for prompt engineering in video generation and other creative applications. Its relatively lower growth score of 1.24 but steady star count (34) suggests ongoing interest from developers involved in multimedia AI projects.
"khalidllogic's 'AI-Prompt-Engineering'" curates advanced templates to optimize AI workflows, contributing a growth score of 1.10 and 36 stars. This repository is valued for its comprehensive collection aimed at enhancing productivity through refined prompt design.
"Li-Evan's 'awesome-opus-5.5-video-prompts'" compiles verified prompts used in video generation with Claude Opus 5.5, offering both English and Chinese translations. With a growth score of 0.84 and 23 stars, it serves as an invaluable resource for creators looking to leverage AI for multimedia projects.
These repositories collectively highlight the expanding utility of prompt engineering across diverse fields, from cybersecurity to creative content generation, underscoring its growing importance in the broader landscape of artificial intelligence applications.
The repository "bug-bounty-hunting-prompts" offers a collection of prompts designed to streamline the process of conducting bug bounty hunts with a focus on evidence-based methodologies. With its growth score of 24.72 and over 759 stars, it stands out due to its practical application in cybersecurity and the structured workflow it provides for ethical hackers.
JoasASantos's "REA-Prompts" is another standout tool this week, offering a variety of prompts designed to help users reverse-engineer anything using REA (Reverse Engineer Anything). Its growth score of 15.25 and over 2,062 stars indicate its popularity among developers looking for comprehensive guides to break down or clone programs efficiently.
"Wousp112's 'awesome-justin-sun-ideas-to-ai-howto'" translates ideas from interviews with Justin Sun into practical AI tutorials. This repository has gained traction with a growth score of 11.25 and 183 stars, suggesting its value in providing actionable insights for implementing advanced AI concepts.
"Work-Fisher's 'fisher-moss-prompt-expander'" utilizes Chinese skills to expand ideas into detailed image prompts using ComfyUI templates. With a growth score of 10.25 and 49 stars, this tool is growing due to its unique approach in combining language understanding with visual creativity.
"e2sy's 'jailbreak-archives'" compiles adversarial prompt engineering techniques against large language models for AI safety research. This repository has seen a growth score of 5.62 and 59 stars as it addresses critical aspects of ethical AI development, drawing interest from researchers concerned with AI security.
"Menonpg's 'ste-prompt'" integrates Simplified Technical English (STE100) into coding agents like Claude Code to ensure clear and unambiguous outputs. With a growth score of 2.97 and 41 stars, it appeals to developers seeking precise communication through language models.
"doublesq97-ui's 'bot-team-playbook'" provides copy-ready prompts for various bot personas within a team setting. This repository has attracted interest with its unique approach to managing bot teams, evident from its growth score of 2.79 and 21 stars.
"barnabywren3's 'minimax-h3-prompts'" offers patterns for prompt engineering in video generation and other creative applications. Its relatively lower growth score of 1.24 but steady star count (34) suggests ongoing interest from developers involved in multimedia AI projects.
"khalidllogic's 'AI-Prompt-Engineering'" curates advanced templates to optimize AI workflows, contributing a growth score of 1.10 and 36 stars. This repository is valued for its comprehensive collection aimed at enhancing productivity through refined prompt design.
"Li-Evan's 'awesome-opus-5.5-video-prompts'" compiles verified prompts used in video generation with Claude Opus 5.5, offering both English and Chinese translations. With a growth score of 0.84 and 23 stars, it serves as an invaluable resource for creators looking to leverage AI for multimedia projects.
These repositories collectively highlight the expanding utility of prompt engineering across diverse fields, from cybersecurity to creative content generation, underscoring its growing importance in the broader landscape of artificial intelligence applications.