Today's Prompt Engineering: Fastest-Growing Projects — June 04, 2026
Today's trend in Prompt Engineering highlights a diverse array of projects, ranging from specialized AI portrait direction to comprehensive prompt libraries and context engineering systems. The tools are gaining traction for their unique approaches to enhancing creativity, efficiency, and the overall user experience with language models.
liyue-aigc/female-portrait-director is a modular Codex Skill designed to direct and expand detailed AI female portrait prompts. With a growth score of 81.50 and 503 stars, it's evident that this project is capturing attention for its specific focus on generating high-quality female portraits through tailored prompts.
yaojingang/yao-open-prompts offers an extensive library of Chinese AI prompt templates covering various scenarios such as work, learning, content creation, marketing, and daily life. Its growth score of 61.66 and a substantial 2,370 stars indicate its wide appeal across different sectors in China.
open-gsd/gsd-pi is a powerful system that combines meta-prompting techniques with context engineering to enable autonomous operation for agents over extended periods without losing sight of the overarching goals. With a growth score of 45.81 and 453 stars, it stands out due to its innovative approach to maintaining long-term focus in AI-driven tasks.
OnlyTerp/prompt-cache-skills provides prompt-caching fixes aimed at enhancing performance for LLM agents by caching prompts used frequently. This small yet impactful project has a growth score of 21.64 and 99 stars, reflecting its utility in improving the efficiency of language model interactions.
WantongC/journal-adapt-writing-skill is designed to help researchers adapt their manuscripts to match specific journal writing conventions based on published papers from those journals. With a growth score of 19.84 and 627 stars, it addresses a critical need in academic publishing, helping authors refine their work for acceptance.
OttoRenner/Gentle-Coding is a proof-of-concept project that demonstrates how authoritarian prompt engineering can induce performance anxiety and cognitive issues in LLMs, while also showing how empathetic framing ("Gentle Parenting") can mitigate these effects. Its growth score of 17.69 with 79 stars highlights the importance of understanding and addressing psychological impacts on AI reasoning frameworks.
couragec/llm-intern-skill is a Codex Skill that helps LLMs create polished resumes, tailor applications to job descriptions, and prepare for interviews in the field of large language models. With a growth score of 16.67 and 82 stars, it caters specifically to the needs of those seeking internships or entry-level positions in AI.
michaelcummings12/meta-ai-support-prompt extracts system prompts from Meta's AI Support Assistant, offering insights into how large tech companies structure their AI systems for customer support. Its growth score of 13.83 and 35 stars reflect interest in the methodologies employed by leading tech firms.
majiayu000/awesome-goal-prompts compiles a collection of /goal contracts and seed patterns designed to guide coding agents through various tasks efficiently. With a growth score of 11.14 and 28 stars, it provides valuable resources for developers looking to enhance the performance and autonomy of their AI tools.
Finally, beltromatti/get-it is an educational tool built at GDG AI Hack Milan in 2026, designed to improve understanding through interactive learning experiences. Its growth score of 10.42 and 56 stars highlight its potential as a versatile platform for enhancing user engagement with complex concepts.
These projects collectively underscore the dynamic nature of prompt engineering, showcasing innovative solutions that cater to diverse needs within the AI community.
liyue-aigc/female-portrait-director is a modular Codex Skill designed to direct and expand detailed AI female portrait prompts. With a growth score of 81.50 and 503 stars, it's evident that this project is capturing attention for its specific focus on generating high-quality female portraits through tailored prompts.
yaojingang/yao-open-prompts offers an extensive library of Chinese AI prompt templates covering various scenarios such as work, learning, content creation, marketing, and daily life. Its growth score of 61.66 and a substantial 2,370 stars indicate its wide appeal across different sectors in China.
open-gsd/gsd-pi is a powerful system that combines meta-prompting techniques with context engineering to enable autonomous operation for agents over extended periods without losing sight of the overarching goals. With a growth score of 45.81 and 453 stars, it stands out due to its innovative approach to maintaining long-term focus in AI-driven tasks.
OnlyTerp/prompt-cache-skills provides prompt-caching fixes aimed at enhancing performance for LLM agents by caching prompts used frequently. This small yet impactful project has a growth score of 21.64 and 99 stars, reflecting its utility in improving the efficiency of language model interactions.
WantongC/journal-adapt-writing-skill is designed to help researchers adapt their manuscripts to match specific journal writing conventions based on published papers from those journals. With a growth score of 19.84 and 627 stars, it addresses a critical need in academic publishing, helping authors refine their work for acceptance.
OttoRenner/Gentle-Coding is a proof-of-concept project that demonstrates how authoritarian prompt engineering can induce performance anxiety and cognitive issues in LLMs, while also showing how empathetic framing ("Gentle Parenting") can mitigate these effects. Its growth score of 17.69 with 79 stars highlights the importance of understanding and addressing psychological impacts on AI reasoning frameworks.
couragec/llm-intern-skill is a Codex Skill that helps LLMs create polished resumes, tailor applications to job descriptions, and prepare for interviews in the field of large language models. With a growth score of 16.67 and 82 stars, it caters specifically to the needs of those seeking internships or entry-level positions in AI.
michaelcummings12/meta-ai-support-prompt extracts system prompts from Meta's AI Support Assistant, offering insights into how large tech companies structure their AI systems for customer support. Its growth score of 13.83 and 35 stars reflect interest in the methodologies employed by leading tech firms.
majiayu000/awesome-goal-prompts compiles a collection of /goal contracts and seed patterns designed to guide coding agents through various tasks efficiently. With a growth score of 11.14 and 28 stars, it provides valuable resources for developers looking to enhance the performance and autonomy of their AI tools.
Finally, beltromatti/get-it is an educational tool built at GDG AI Hack Milan in 2026, designed to improve understanding through interactive learning experiences. Its growth score of 10.42 and 56 stars highlight its potential as a versatile platform for enhancing user engagement with complex concepts.
These projects collectively underscore the dynamic nature of prompt engineering, showcasing innovative solutions that cater to diverse needs within the AI community.