PullRepo

Daily radar for the fastest-growing AI tools & repos

Today's Prompt Engineering: Fastest-Growing Projects — October 23, 2026

Today's the Prompt Engineering space, we see a mix of innovative and specialized repositories gaining traction on GitHub. Repositories focused on bug bounty hunting, reverse engineering, AI safety research, and video generation are making notable progress. The mdpsec/bug-bounty-hunting-prompts repository leads this category with its structured approach to bug bounty workflows, while JoasASantos/REA-Prompts offers a versatile toolkit for reverse engineering tasks.

The mdpsec/bug-bounty-hunting-prompts repository provides reusable prompts designed to streamline the process of conducting evidence-first bug bounty hunts. Its growth score of 26.28 and over 700 stars indicate that security professionals are increasingly relying on these structured workflows to enhance their bug hunting efficiency.

JoasASantos/REA-Prompts is another standout repository, offering a comprehensive set of prompts for reverse engineering any program with the REA (Reverse Engineer Anything) framework. With nearly 1,500 stars and regular updates, it clearly resonates with developers looking to dissect and understand complex software systems.

wousp112/awesome-justin-sun-ideas-to-ai-howto compiles AI implementation tutorials based on interviews with industry figures like Justin Sun. Its growth score of 12.68 suggests a growing interest in practical applications of AI ideas within the tech community, particularly among those interested in leveraging AI for real-world problem-solving.

e2sy/jailbreak-archives is an essential resource for researchers and developers working on AI safety by compiling adversarial prompt engineering techniques against large language models. With over 50 stars, it highlights a growing concern about AI security and the need for robust defensive strategies in the development of LLMs.

menonpg/ste-prompt integrates Simplified Technical English (ASD-STE100) into Claude Code, Codex & coding agents to ensure clearer and unambiguous output. Its modest growth score of 3.33 reflects its niche appeal among developers seeking precise technical communication in their AI workflows.

barnabywren3/minimax-h3-prompts provides a range of prompts and agent skill patterns for video generation and prompt engineering tasks, targeting the MiniMax H3 platform. With fewer than 5 stars but steady updates, it demonstrates ongoing development focused on specific use cases within the creative technology space.

khalidllogic/AI-Prompt-Engineering curates advanced templates designed to optimize AI workflows and productivity through effective LLM interactions. Its growth score of 1.17 indicates sustained interest from developers seeking to refine their prompt engineering skills for better AI outcomes.

Li-Evan/awesome-opus-5.5-video-prompts compiles verified prompts used by creators to generate videos with Claude Opus 5.5, providing both English and Chinese translations along with previews. Its modest growth score of 0.90 reflects its specialized focus on video generation tools for AI platforms like Claude.

These repositories showcase the diverse applications of prompt engineering across security, reverse engineering, creative technology, and technical communication domains, highlighting the growing importance of tailored prompts in enhancing AI capabilities and workflows.
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