Today's Prompt Engineering: Fastest-Growing Projects — May 19, 2026
Today's Prompt Engineering, we see a diverse range of projects emerging on GitHub that cater to various needs within AI and language processing. From enhancing writing conventions for academic journals to customizing input methods for creative text generation, these tools are gaining traction among developers and researchers alike. One notable project is WantongC's journal-adapt-writing-skill, which helps users adapt their manuscript writing style to match specific journal standards.
WantongC’s journal-adapt-writing-skill learns the conventions of a given academic journal from its published papers and assists in revising manuscripts section by section to align with these standards. With a growth score of 44.75 and over 300 stars, this repository is rapidly gaining recognition for its practical application in the academic writing community.
A-cat-with-carrots' TypeAnything offers an innovative input method that converts user-penned Chinese text into various styles through AI-driven transformations. This tool supports a wide range of outputs including English, slang, formal language, and even Klingon. With 35 stars and a steady stream of commits in the last month, TypeAnything is growing due to its unique approach to multilingual and stylistic text generation.
Freestylefly’s awesome-gpt-image-2 presents an extensive collection of industrial-grade templates and case studies for crafting effective prompts within GPT-based image processing tasks. The repository, with over 5,000 stars, continues to attract developers looking for practical examples and advanced strategies in prompt engineering for AI-driven image applications.
Yaojingang’s yao-open-prompts provides a comprehensive library of Chinese AI prompts tailored for various contexts such as work, education, content creation, marketing, and daily life. With nearly 2,000 stars, the project is witnessing significant growth due to its broad applicability across different sectors where clear communication through AI-generated text is crucial.
Anbeeld’s WRITING.md outlines a set of rules designed to enhance the clarity and genre-awareness of language generated by large language models (LLMs). The repository includes concrete examples and workflows for auditing LLM outputs, contributing to its steady growth with 270 stars.
Win4r's goal-prompt-builder focuses on creating audit-friendly prompts specifically for OpenAI Codex, aiming to streamline the development process and ensure compliance. With a modest yet consistent growth rate indicated by 94 stars, this tool is gaining traction among developers working on AI coding projects.
Chengzhongwei’s Prompt-sensei serves as a local-first coach that provides feedback on prompts used with Claude Code and Codex, enhancing prompting habits and analyzing historical data. The project's growing popularity, evident from its 117 stars, reflects the increasing demand for localized and personalized prompt optimization tools in AI development.
Shiphrahx’s AI-for-engineering-leaders offers practical playbooks and systems designed to improve delivery, decision-making, and team productivity through real-world workflows and prompts. With a growth score of 3.62 and 49 stars, the repository is growing due to its applicability for engineering teams seeking to integrate AI into their daily operations.
Bsquang’s claude-comstyle provides a collection of 13 prompts aimed at controlling Claude's communication style, allowing users to customize outputs according to specific needs or preferences. The steady growth indicated by 27 stars and frequent updates suggests ongoing interest in this tool for those looking to refine AI-generated text styles.
WantongC’s journal-adapt-writing-skill learns the conventions of a given academic journal from its published papers and assists in revising manuscripts section by section to align with these standards. With a growth score of 44.75 and over 300 stars, this repository is rapidly gaining recognition for its practical application in the academic writing community.
A-cat-with-carrots' TypeAnything offers an innovative input method that converts user-penned Chinese text into various styles through AI-driven transformations. This tool supports a wide range of outputs including English, slang, formal language, and even Klingon. With 35 stars and a steady stream of commits in the last month, TypeAnything is growing due to its unique approach to multilingual and stylistic text generation.
Freestylefly’s awesome-gpt-image-2 presents an extensive collection of industrial-grade templates and case studies for crafting effective prompts within GPT-based image processing tasks. The repository, with over 5,000 stars, continues to attract developers looking for practical examples and advanced strategies in prompt engineering for AI-driven image applications.
Yaojingang’s yao-open-prompts provides a comprehensive library of Chinese AI prompts tailored for various contexts such as work, education, content creation, marketing, and daily life. With nearly 2,000 stars, the project is witnessing significant growth due to its broad applicability across different sectors where clear communication through AI-generated text is crucial.
Anbeeld’s WRITING.md outlines a set of rules designed to enhance the clarity and genre-awareness of language generated by large language models (LLMs). The repository includes concrete examples and workflows for auditing LLM outputs, contributing to its steady growth with 270 stars.
Win4r's goal-prompt-builder focuses on creating audit-friendly prompts specifically for OpenAI Codex, aiming to streamline the development process and ensure compliance. With a modest yet consistent growth rate indicated by 94 stars, this tool is gaining traction among developers working on AI coding projects.
Chengzhongwei’s Prompt-sensei serves as a local-first coach that provides feedback on prompts used with Claude Code and Codex, enhancing prompting habits and analyzing historical data. The project's growing popularity, evident from its 117 stars, reflects the increasing demand for localized and personalized prompt optimization tools in AI development.
Shiphrahx’s AI-for-engineering-leaders offers practical playbooks and systems designed to improve delivery, decision-making, and team productivity through real-world workflows and prompts. With a growth score of 3.62 and 49 stars, the repository is growing due to its applicability for engineering teams seeking to integrate AI into their daily operations.
Bsquang’s claude-comstyle provides a collection of 13 prompts aimed at controlling Claude's communication style, allowing users to customize outputs according to specific needs or preferences. The steady growth indicated by 27 stars and frequent updates suggests ongoing interest in this tool for those looking to refine AI-generated text styles.