Today's Prompt Engineering: Fastest-Growing Projects — May 23, 2026
Today's the Prompt Engineering space, we see a continued surge of interest in repositories that offer customizable templates and methodologies for various use cases, from content creation to technical documentation. The top repository this week is "yaojingang/yao-open-prompts," which provides an extensive library of Chinese AI prompts covering numerous scenarios such as work, learning, and daily life. With a growth score of 98.47 and over two thousand stars, it stands out due to its comprehensive coverage and active community engagement.
"open-gsd/gsd-pi" is another notable repository this week with a growth score of 57.00, despite having fewer stars at 24. This project offers a meta-prompting system designed to enable autonomous agent operation for extended periods without losing focus on the broader objectives. Its steady growth reflects its potential utility in complex, long-term AI projects.
"WantongC/journal-adapt-writing-skill," with a growth score of 31.70 and 406 stars, aims to help users adapt their manuscripts to match specific journal writing conventions by analyzing published papers from those journals. The tool's popularity likely stems from its practical application in academic publishing.
"A-cat-with-carrots/TypeAnything" is gaining traction with a growth score of 13.69 and 98 stars. This Windows input method allows users to type in pinyin and then converts the text into various styles, including English, financial jargon, internet slang, and more, using AI technology. Its unique feature set likely attracts developers interested in creative input methods.
"freestylefly/awesome-gpt-image-2," with a growth score of 11.02 and an impressive 5,860 stars, is another standout project. This repository acts as an industrial-grade prompt engine and template library for GPT images, featuring over 370 cases reverse-engineered from various applications. Its extensive collection of templates and ongoing updates make it a valuable resource for developers working with AI-generated imagery.
"jnMetaCode/ai-shortfilm-prompts," boasting a growth score of 8.40 and 21 stars, focuses on providing methodology, prompts, and Claude Code skills behind an acclaimed AI short film project called "Zombie Scavenger." Its targeted approach to creating high-quality short films with AI tools likely appeals to creators in the field.
"Anbeeld/WRITING.md," with a growth score of 7.24 and 276 stars, offers concrete guidelines for making LLM text sharper and more genre-aware while incorporating self-auditing workflows. This tool’s clear rules and practical approach make it appealing for writers looking to refine their use of large language models.
"win4r/goal-prompt-builder," having a growth score of 4.50 and 111 stars, assists in building audit-friendly prompts for OpenAI Codex. Its niche functionality targets developers who need precise control over prompts for auditing purposes.
"chengzhongwei/Prompt-sensei," with a growth score of 3.98 and 118 stars, is a local-first prompt coach designed to improve prompts and observe prompting habits for Claude Code and Codex. The tool’s focus on enhancing user interaction and data analysis likely draws in developers looking to refine their AI interactions locally.
Lastly, "shiphrahx/AI-for-engineering-leaders," with a growth score of 3.10 and 50 stars, provides practical playbooks for engineering leaders aiming to improve delivery, decision-making, and team productivity using real workflows, prompts, and systems. Its targeted approach towards enhancing engineering leadership through AI tools likely resonates with tech managers seeking innovative solutions.
These repositories highlight the diverse applications of prompt engineering across different domains and underscore the ongoing innovation in this space.
"open-gsd/gsd-pi" is another notable repository this week with a growth score of 57.00, despite having fewer stars at 24. This project offers a meta-prompting system designed to enable autonomous agent operation for extended periods without losing focus on the broader objectives. Its steady growth reflects its potential utility in complex, long-term AI projects.
"WantongC/journal-adapt-writing-skill," with a growth score of 31.70 and 406 stars, aims to help users adapt their manuscripts to match specific journal writing conventions by analyzing published papers from those journals. The tool's popularity likely stems from its practical application in academic publishing.
"A-cat-with-carrots/TypeAnything" is gaining traction with a growth score of 13.69 and 98 stars. This Windows input method allows users to type in pinyin and then converts the text into various styles, including English, financial jargon, internet slang, and more, using AI technology. Its unique feature set likely attracts developers interested in creative input methods.
"freestylefly/awesome-gpt-image-2," with a growth score of 11.02 and an impressive 5,860 stars, is another standout project. This repository acts as an industrial-grade prompt engine and template library for GPT images, featuring over 370 cases reverse-engineered from various applications. Its extensive collection of templates and ongoing updates make it a valuable resource for developers working with AI-generated imagery.
"jnMetaCode/ai-shortfilm-prompts," boasting a growth score of 8.40 and 21 stars, focuses on providing methodology, prompts, and Claude Code skills behind an acclaimed AI short film project called "Zombie Scavenger." Its targeted approach to creating high-quality short films with AI tools likely appeals to creators in the field.
"Anbeeld/WRITING.md," with a growth score of 7.24 and 276 stars, offers concrete guidelines for making LLM text sharper and more genre-aware while incorporating self-auditing workflows. This tool’s clear rules and practical approach make it appealing for writers looking to refine their use of large language models.
"win4r/goal-prompt-builder," having a growth score of 4.50 and 111 stars, assists in building audit-friendly prompts for OpenAI Codex. Its niche functionality targets developers who need precise control over prompts for auditing purposes.
"chengzhongwei/Prompt-sensei," with a growth score of 3.98 and 118 stars, is a local-first prompt coach designed to improve prompts and observe prompting habits for Claude Code and Codex. The tool’s focus on enhancing user interaction and data analysis likely draws in developers looking to refine their AI interactions locally.
Lastly, "shiphrahx/AI-for-engineering-leaders," with a growth score of 3.10 and 50 stars, provides practical playbooks for engineering leaders aiming to improve delivery, decision-making, and team productivity using real workflows, prompts, and systems. Its targeted approach towards enhancing engineering leadership through AI tools likely resonates with tech managers seeking innovative solutions.
These repositories highlight the diverse applications of prompt engineering across different domains and underscore the ongoing innovation in this space.