Today's Prompt Engineering: Fastest-Growing Projects — May 31, 2026
Today's the Prompt Engineering space, there's a noticeable surge in repositories that focus on enhancing AI-generated content through modular and context-aware prompting techniques. These projects cater to various use cases ranging from creative writing to coding assistance, each offering unique approaches to improving AI output quality. The repository with the highest growth score this week is "female-portrait-director," which provides a modular Codex Skill for directing detailed female portrait prompts.
"Female-Portrait-Director," developed by liyue-aigc, offers a series of modules designed to enhance and direct prompt generation for creating highly detailed AI-generated portraits of females. With a growth score of 94.00 and 71 stars, this project is rapidly gaining traction due to its innovative approach in providing structured guidance for portrait creation.
"Yao-Open-Prompts," maintained by yaojingang, serves as an extensive library of Chinese AI prompts covering various scenarios such as work, study, content creation, marketing, and daily life. With a growth score of 70.20 and over 2,331 stars, this repository is experiencing significant growth due to its comprehensive coverage and utility across diverse applications.
"gsd-pi," developed by open-gsd, presents a powerful meta-prompting system designed to enable agents to operate autonomously for extended periods without losing focus on the overarching objectives. This project's high growth score of 60.11 and 380 stars reflect its robust capabilities in context engineering and long-term task management.
"Prompt-Cache-Skills," curated by OnlyTerp, provides a collection of fixes to enhance prompt caching for AI coding agents, improving their efficiency and performance. This repository's steady growth score of 46.00 and 78 stars indicate its practical utility in addressing common issues faced by developers working with large language models.
"Journal-Adapt-Writing-Skill," created by WantongC, offers a tool that helps users adapt their writing to match the conventions of different journals based on published papers from those journals. With a growth score of 20.89 and 509 stars, this project is growing due to its specialized application in academic writing.
"OttoRenner's Gentle-Coding," explores how authoritarian prompt engineering can induce cognitive issues in modern LLM reasoning frameworks and demonstrates the effectiveness of empathetic framing in mitigating these effects. This repository’s growth score of 19.62 and 70 stars suggest an increasing interest in understanding and improving human-AI interaction dynamics.
"TypeAnything," developed by A-cat-with-carrots, is a Windows input method that uses AI to transform written text into various styles or languages based on user description. With a growth score of 11.38 and 205 stars, this project's rapid rise can be attributed to its unique approach in enhancing creative writing through advanced natural language processing.
"Tianming-Skill," by zy-zmc, is an AI collaborative novel writing tool that employs modular prompt engineering techniques tailored for long-form content creation. This repository’s growth score of 11.25 and 69 stars highlight the growing interest in leveraging AI to facilitate creative collaboration among writers.
"Majiayu000's Awesome-Goal-Prompts" offers a collection of goal-oriented prompts designed to guide coding agents towards achieving specific objectives. With a growth score of 9.03 and 25 stars, this project is gaining traction due to its structured approach in enhancing AI task completion efficiency.
Finally, "Ai-Shortfilm-Prompts," curated by jnMetaCode, provides methodologies, prompts, and skills for generating short films using AI, with successful applications showcased through the project's documentation. This repository’s growth score of 8.23 and 70 stars indicate its growing appeal in leveraging AI to craft compelling narratives and visual stories.
These repositories collectively showcase the diverse range of applications and innovative approaches being explored within the realm of prompt engineering, highlighting the ongoing evolution and expansion of this field as developers push the boundaries of what is possible with AI-driven content creation and task management.
"Female-Portrait-Director," developed by liyue-aigc, offers a series of modules designed to enhance and direct prompt generation for creating highly detailed AI-generated portraits of females. With a growth score of 94.00 and 71 stars, this project is rapidly gaining traction due to its innovative approach in providing structured guidance for portrait creation.
"Yao-Open-Prompts," maintained by yaojingang, serves as an extensive library of Chinese AI prompts covering various scenarios such as work, study, content creation, marketing, and daily life. With a growth score of 70.20 and over 2,331 stars, this repository is experiencing significant growth due to its comprehensive coverage and utility across diverse applications.
"gsd-pi," developed by open-gsd, presents a powerful meta-prompting system designed to enable agents to operate autonomously for extended periods without losing focus on the overarching objectives. This project's high growth score of 60.11 and 380 stars reflect its robust capabilities in context engineering and long-term task management.
"Prompt-Cache-Skills," curated by OnlyTerp, provides a collection of fixes to enhance prompt caching for AI coding agents, improving their efficiency and performance. This repository's steady growth score of 46.00 and 78 stars indicate its practical utility in addressing common issues faced by developers working with large language models.
"Journal-Adapt-Writing-Skill," created by WantongC, offers a tool that helps users adapt their writing to match the conventions of different journals based on published papers from those journals. With a growth score of 20.89 and 509 stars, this project is growing due to its specialized application in academic writing.
"OttoRenner's Gentle-Coding," explores how authoritarian prompt engineering can induce cognitive issues in modern LLM reasoning frameworks and demonstrates the effectiveness of empathetic framing in mitigating these effects. This repository’s growth score of 19.62 and 70 stars suggest an increasing interest in understanding and improving human-AI interaction dynamics.
"TypeAnything," developed by A-cat-with-carrots, is a Windows input method that uses AI to transform written text into various styles or languages based on user description. With a growth score of 11.38 and 205 stars, this project's rapid rise can be attributed to its unique approach in enhancing creative writing through advanced natural language processing.
"Tianming-Skill," by zy-zmc, is an AI collaborative novel writing tool that employs modular prompt engineering techniques tailored for long-form content creation. This repository’s growth score of 11.25 and 69 stars highlight the growing interest in leveraging AI to facilitate creative collaboration among writers.
"Majiayu000's Awesome-Goal-Prompts" offers a collection of goal-oriented prompts designed to guide coding agents towards achieving specific objectives. With a growth score of 9.03 and 25 stars, this project is gaining traction due to its structured approach in enhancing AI task completion efficiency.
Finally, "Ai-Shortfilm-Prompts," curated by jnMetaCode, provides methodologies, prompts, and skills for generating short films using AI, with successful applications showcased through the project's documentation. This repository’s growth score of 8.23 and 70 stars indicate its growing appeal in leveraging AI to craft compelling narratives and visual stories.
These repositories collectively showcase the diverse range of applications and innovative approaches being explored within the realm of prompt engineering, highlighting the ongoing evolution and expansion of this field as developers push the boundaries of what is possible with AI-driven content creation and task management.