PullRepo

Daily radar for the fastest-growing AI tools & repos

Today's Prompt Engineering: Fastest-Growing Projects — September 24, 2026

Today's the Prompt Engineering space, there's a noticeable trend towards comprehensive libraries and frameworks that cater to both beginners and advanced users alike, with a particular focus on video generation and AI-assisted research writing. The repository "LearnPrompt/awesome-seedance" leads this category with a growth score of 40.14 and over 1,200 stars, offering a verified library of Seedance prompts for AI-video creation along with daily synced cases from goodcase.ai. Its extensive coverage and detailed verification process make it stand out as a reliable resource for those looking to create high-quality AI videos.

"Rylaispirit/cinematic-video-prompt-skill," with a growth score of 33.00, provides an AI video prompt cheat sheet complete with explanations in Vietnamese, covering essential aspects such as camera angles and lighting. The repository's clear focus on cinematic elements and its growing number of stars indicate a strong interest from creators looking to enhance their AI-generated videos.

The "WestFox-AwA/dsh-prompt-optimizer" project has garnered 82 stars and a growth score of 27.15, offering a plugin for DSH Web that helps users refine prompts before sending them to work-related AI systems. Its ability to adjust context and task difficulty dynamically is likely contributing to its steady growth as more professionals seek out tools to streamline their workflow.

"NotebookLM-para-concursos," with a growth score of 25.67, integrates IA-based study engineering methodologies like the N.A.G. system for exam preparation, providing calibrated prompts and statistical analyses to aid in academic success. The repository's detailed approach and frequent updates are resonating well with students preparing for competitive exams.

"TripoGrowthLab/awesome-astra-prompts," accumulating 280 stars and a growth score of 14.87, compiles curated GPT-6 Astra prompts and examples in multiple languages, offering previews and source links for various applications such as games and interactive worlds. This comprehensive resource is growing due to its broad appeal across different use cases.

The "kydlikebtc/awesome-grokbot" repository has seen a growth score of 14.74 and amassed 318 stars, providing a catalog of x.ai/bot shares for Grok Bot with detailed attribution and bilingual support. Its thorough documentation and structured schema are attracting users looking to manage and utilize bot functionalities efficiently.

With a growth score of 7.39 and 25 stars, "Continuum-AI-Corp/OrcaPromptVault" serves as an open archive documenting how AI agents operate through versioned system prompts and developer instructions. Its unique approach in capturing real-world AI agent behavior is drawing interest from developers and researchers alike.

The repository "Adkid-Zephyr/oral-paper-skill," with a growth score of 7.11, distills common practices from abstracts of top conference papers to help users improve their research and writing skills. Its bilingual content and structured approach are contributing to its steady growth among academic communities.

"apimart-awesome-ai-api-proxy/nano-banana-pro-prompts," boasting a growth score of 6.93, tests and documents prompt recipes for the Nano Banana Pro model, providing example renders and costs. The detailed nature of these examples is likely appealing to developers working with specific AI models like Gemini.

Lastly, "RectangleStory/Superpowers_Multi_AI" has seen a growth score of 6.35 and accumulated 100 stars, offering a modular framework for engineering prompts in AI agents such as Cursor and Claude Code. Its structured approach to SDLC (Software Development Life Cycle) and systematic debugging are attracting developers seeking robust frameworks for their AI projects.

Each of these repositories is contributing uniquely to the evolving landscape of prompt engineering by addressing specific needs and providing comprehensive resources for both novice and experienced users.
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