Today's Prompt Engineering: Fastest-Growing Projects — June 05, 2026
This week, the Prompt Engineering space on GitHub continues to thrive with a variety of innovative projects that cater to different use cases and programming paradigms. One common thread among these repositories is their focus on enhancing user experience and efficiency through sophisticated prompt design and engineering techniques. Among Today's notable entries, "liyue-aigc/female-portrait-director" stands out for its unique approach to directing AI-generated female portraits.
The "female-portrait-director" repository offers a modular Codex Skill designed to direct and expand detailed AI female portrait prompts, enhancing the creativity and control users have over AI-generated images. With a growth score of 68.33 and 508 stars, this project is gaining significant traction due to its innovative approach to generating high-quality, customized portraits.
"gsd-pi," developed by "open-gsd," is a powerful system that enables agents to work autonomously for extended periods without losing context or focus. This meta-prompting tool supports long-term task execution and context management, which is evident from its 43.43 growth score and 472 stars on GitHub.
The repository "journal-adapt-writing-skill" by WantongC teaches users how to adapt their writing style to match the conventions of various academic journals based on published papers. This tool aims to streamline the process of manuscript submission by aligning text with specific journal requirements, contributing to its steady growth with a score of 19.24 and 636 stars.
"prompt-cache-skills," maintained by OnlyTerp, provides drop-in prompt-caching fixes for LLM agent harnesses, ensuring that AI coding agents can operate more efficiently without the need for extensive manual intervention. With a growth score of 18.94 and 99 stars, this repository is growing due to its practical utility in enhancing AI development workflows.
OttoRenner's "Gentle-Coding" project presents an intriguing Proof of Concept that explores how different framing techniques can mitigate performance anxiety and cognitive issues in LLMs. This empathetic approach to prompt engineering garners attention with a growth score of 16.50, alongside its modest but dedicated user base of 81 stars.
Michael Cummings' "meta-ai-support-prompt" repository captures the system prompts used by Meta's AI Support Assistant as of June 2026. This project is growing steadily at a rate of 10.75 and has attracted 35 stars, likely due to its relevance for those interested in understanding the operational aspects of large-scale AI support systems.
"Majiayu000/awesome-goal-prompts" features an extensive collection of /goal contracts and seed patterns designed to guide coding agents towards achieving specific objectives efficiently. With a growth score of 10.65 and 28 stars, this repository is gaining recognition for its comprehensive resource set aimed at enhancing AI-driven development processes.
"Beltromatti/get-it," built during the GDG AI Hack Milan event, focuses on improving user comprehension through multimodal learning experiences. This project's steady growth with a score of 10.28 and 63 stars indicates its appeal to developers interested in innovative educational tools.
"Zy-zmc/tianming-skill" offers a modular prompt engineering system for collaborative AI novel writing, particularly designed for the Chinese market. With a growth rate of 7.42 and 79 stars, this project is growing due to its unique approach to creative collaboration within the realm of AI literature.
Lastly, "jnMetaCode/ai-shortfilm-prompts" provides methodology and prompts used in creating the highly acclaimed short film "Zombie Scavenger." This repository is gaining traction with a growth score of 7.25 and 99 stars, highlighting its value for filmmakers and content creators looking to leverage AI for storytelling.
Each of these projects demonstrates the evolving landscape of prompt engineering across diverse applications, from creative arts to technical development and beyond, showcasing the versatility and potential of this field in enhancing AI capabilities.
The "female-portrait-director" repository offers a modular Codex Skill designed to direct and expand detailed AI female portrait prompts, enhancing the creativity and control users have over AI-generated images. With a growth score of 68.33 and 508 stars, this project is gaining significant traction due to its innovative approach to generating high-quality, customized portraits.
"gsd-pi," developed by "open-gsd," is a powerful system that enables agents to work autonomously for extended periods without losing context or focus. This meta-prompting tool supports long-term task execution and context management, which is evident from its 43.43 growth score and 472 stars on GitHub.
The repository "journal-adapt-writing-skill" by WantongC teaches users how to adapt their writing style to match the conventions of various academic journals based on published papers. This tool aims to streamline the process of manuscript submission by aligning text with specific journal requirements, contributing to its steady growth with a score of 19.24 and 636 stars.
"prompt-cache-skills," maintained by OnlyTerp, provides drop-in prompt-caching fixes for LLM agent harnesses, ensuring that AI coding agents can operate more efficiently without the need for extensive manual intervention. With a growth score of 18.94 and 99 stars, this repository is growing due to its practical utility in enhancing AI development workflows.
OttoRenner's "Gentle-Coding" project presents an intriguing Proof of Concept that explores how different framing techniques can mitigate performance anxiety and cognitive issues in LLMs. This empathetic approach to prompt engineering garners attention with a growth score of 16.50, alongside its modest but dedicated user base of 81 stars.
Michael Cummings' "meta-ai-support-prompt" repository captures the system prompts used by Meta's AI Support Assistant as of June 2026. This project is growing steadily at a rate of 10.75 and has attracted 35 stars, likely due to its relevance for those interested in understanding the operational aspects of large-scale AI support systems.
"Majiayu000/awesome-goal-prompts" features an extensive collection of /goal contracts and seed patterns designed to guide coding agents towards achieving specific objectives efficiently. With a growth score of 10.65 and 28 stars, this repository is gaining recognition for its comprehensive resource set aimed at enhancing AI-driven development processes.
"Beltromatti/get-it," built during the GDG AI Hack Milan event, focuses on improving user comprehension through multimodal learning experiences. This project's steady growth with a score of 10.28 and 63 stars indicates its appeal to developers interested in innovative educational tools.
"Zy-zmc/tianming-skill" offers a modular prompt engineering system for collaborative AI novel writing, particularly designed for the Chinese market. With a growth rate of 7.42 and 79 stars, this project is growing due to its unique approach to creative collaboration within the realm of AI literature.
Lastly, "jnMetaCode/ai-shortfilm-prompts" provides methodology and prompts used in creating the highly acclaimed short film "Zombie Scavenger." This repository is gaining traction with a growth score of 7.25 and 99 stars, highlighting its value for filmmakers and content creators looking to leverage AI for storytelling.
Each of these projects demonstrates the evolving landscape of prompt engineering across diverse applications, from creative arts to technical development and beyond, showcasing the versatility and potential of this field in enhancing AI capabilities.