Today's Prompt Engineering: Fastest-Growing Projects — May 24, 2026
This week, the Prompt Engineering space continues to show significant activity as developers and researchers refine techniques for crafting more effective prompts that can guide AI models like Claude and Codex toward desired outputs in various contexts, from novel writing to journal article adaptation. The tools listed below highlight some of the most active projects this week.
*yaojingang/yao-open-prompts* is a repository containing a comprehensive collection of Chinese-language AI prompt templates tailored for a range of scenarios including work, study, content creation, marketing, and daily life. With a growth score of 93.81 and over 2,000 stars, the project's popularity likely stems from its extensive coverage and relevance to users seeking practical applications in these areas.
*zy-zmc/tianming-skill* offers a modular system for crafting AI prompts specifically designed for collaborative long-form novel writing projects using Claude as the AI agent. The tool appears to be growing due to its specialized focus on creative writing, which attracts developers interested in pushing the boundaries of narrative creation with AI assistance.
*WantongC/journal-adapt-writing-skill* enables users to analyze and adapt their manuscript writing style to match conventions found in published papers from specific journals. This tool's growth score of 29.18 indicates a steady increase in interest, likely driven by its utility for academic researchers and writers aiming to improve the quality and acceptance rate of their publications.
*A-cat-with-carrots/TypeAnything* is an innovative Windows input method that leverages AI to transform user-typed Chinese text into various writing styles or languages based on user-specified preferences. With a growth score of 13.71, this project's rise in popularity may be attributed to its unique approach and the broad appeal it has for users looking to experiment with different linguistic expressions.
*open-gsd/gsd-pi* presents a sophisticated system designed to enable AI agents to operate autonomously over extended periods by providing them with meta-prompting and context engineering capabilities. The project's growth score of 11.71 suggests steady development interest, likely due to its potential applications in long-term AI-driven tasks that require continuous oversight.
*freestylefly/awesome-gpt-image-2* is an industrial-grade prompt engine and template library for GPT models aimed at image generation tasks, featuring over 370 reverse-engineered cases and more than 20 ready-to-use templates. With a high growth score of 10.96 and nearly 6,000 stars, this project's rapid ascension can be attributed to its comprehensive set of resources for developers working on AI-driven image generation projects.
*jnMetaCode/ai-shortfilm-prompts* provides methodologies, prompts, and skills used in creating an AI-generated short film titled "Zombie Scavenger," which received critical acclaim. This repository's growth score of 7.75 reflects a growing interest among creators exploring the potential of AI in filmmaking.
*win4r/goal-prompt-builder* is designed to help developers create compliant /goal prompts for OpenAI Codex, ensuring that code generation tasks adhere to ethical and legal standards. The tool’s steady growth with a score of 4.32 suggests consistent interest from developers concerned with the responsible use of AI in coding environments.
*chengzhongwei/Prompt-sensei* acts as a local-first prompt coach for Claude Code and Codex, enhancing prompts, observing prompting habits, and analyzing local history while respecting user consent. With a growth score of 3.84, this tool's development appears to be driven by the increasing need for personalized and ethical AI interaction tools.
Finally, *shiphrahx/AI-for-engineering-leaders* offers practical playbooks that engineering leaders can use to enhance delivery, decision-making, and team productivity through real-world workflows and prompts with AI integration. The project’s growth score of 2.98 indicates a gradual but consistent interest from engineering teams looking for ways to leverage AI in their daily operations.
These tools collectively demonstrate the diverse applications of prompt engineering across various domains, reflecting an ongoing trend towards more sophisticated and specialized approaches in leveraging AI capabilities through tailored prompts and workflows.
*yaojingang/yao-open-prompts* is a repository containing a comprehensive collection of Chinese-language AI prompt templates tailored for a range of scenarios including work, study, content creation, marketing, and daily life. With a growth score of 93.81 and over 2,000 stars, the project's popularity likely stems from its extensive coverage and relevance to users seeking practical applications in these areas.
*zy-zmc/tianming-skill* offers a modular system for crafting AI prompts specifically designed for collaborative long-form novel writing projects using Claude as the AI agent. The tool appears to be growing due to its specialized focus on creative writing, which attracts developers interested in pushing the boundaries of narrative creation with AI assistance.
*WantongC/journal-adapt-writing-skill* enables users to analyze and adapt their manuscript writing style to match conventions found in published papers from specific journals. This tool's growth score of 29.18 indicates a steady increase in interest, likely driven by its utility for academic researchers and writers aiming to improve the quality and acceptance rate of their publications.
*A-cat-with-carrots/TypeAnything* is an innovative Windows input method that leverages AI to transform user-typed Chinese text into various writing styles or languages based on user-specified preferences. With a growth score of 13.71, this project's rise in popularity may be attributed to its unique approach and the broad appeal it has for users looking to experiment with different linguistic expressions.
*open-gsd/gsd-pi* presents a sophisticated system designed to enable AI agents to operate autonomously over extended periods by providing them with meta-prompting and context engineering capabilities. The project's growth score of 11.71 suggests steady development interest, likely due to its potential applications in long-term AI-driven tasks that require continuous oversight.
*freestylefly/awesome-gpt-image-2* is an industrial-grade prompt engine and template library for GPT models aimed at image generation tasks, featuring over 370 reverse-engineered cases and more than 20 ready-to-use templates. With a high growth score of 10.96 and nearly 6,000 stars, this project's rapid ascension can be attributed to its comprehensive set of resources for developers working on AI-driven image generation projects.
*jnMetaCode/ai-shortfilm-prompts* provides methodologies, prompts, and skills used in creating an AI-generated short film titled "Zombie Scavenger," which received critical acclaim. This repository's growth score of 7.75 reflects a growing interest among creators exploring the potential of AI in filmmaking.
*win4r/goal-prompt-builder* is designed to help developers create compliant /goal prompts for OpenAI Codex, ensuring that code generation tasks adhere to ethical and legal standards. The tool’s steady growth with a score of 4.32 suggests consistent interest from developers concerned with the responsible use of AI in coding environments.
*chengzhongwei/Prompt-sensei* acts as a local-first prompt coach for Claude Code and Codex, enhancing prompts, observing prompting habits, and analyzing local history while respecting user consent. With a growth score of 3.84, this tool's development appears to be driven by the increasing need for personalized and ethical AI interaction tools.
Finally, *shiphrahx/AI-for-engineering-leaders* offers practical playbooks that engineering leaders can use to enhance delivery, decision-making, and team productivity through real-world workflows and prompts with AI integration. The project’s growth score of 2.98 indicates a gradual but consistent interest from engineering teams looking for ways to leverage AI in their daily operations.
These tools collectively demonstrate the diverse applications of prompt engineering across various domains, reflecting an ongoing trend towards more sophisticated and specialized approaches in leveraging AI capabilities through tailored prompts and workflows.