Today's Prompt Engineering: Fastest-Growing Projects — May 22, 2026
This week, the Prompt Engineering space on GitHub continues to show significant growth with a range of innovative projects aimed at enhancing AI interactions and productivity. The standout project this week is WantongC's journal-adapt-writing-skill, which has seen substantial interest from developers looking to refine their manuscript writing skills in alignment with established academic journals.
WantongC/journal-adapt-writing-skill helps users learn the specific writing conventions of various journals by analyzing published papers and then revising manuscripts accordingly. With a growth score of 33.83 and 396 stars, this project's popularity reflects its utility for researchers seeking to improve their publication success rates.
A-cat-with-carrots/TypeAnything is another notable tool that leverages AI to transform user input into various linguistic styles, from financial jargon to ancient languages, making it a versatile writing aid. With a growth score of 13.58 and 86 stars, its appeal lies in the creative freedom it offers users who want their text to fit specific tones or contexts.
freestylefly's awesome-gpt-image-2 is an industrial-grade prompt engine and template library for GPT-Image2, featuring over 370 reverse-engineered cases and more than 20 professional templates. Its growth score of 11.35 and a remarkable 5,792 stars highlight its value to developers working on advanced image generation tasks.
Anbeeld/WRITING.md outlines rules for making large language model (LLM) text sharper and genre-aware while including built-in self-auditing workflows. With a growth score of 7.45 and 273 stars, this project stands out due to its comprehensive approach to improving the quality of AI-generated content.
yaojingang/yao-open-prompts is a Chinese AI prompt library covering various scenarios such as work, learning, and daily life. It has garnered significant attention with a growth score of 7.29 and 2,209 stars, making it an essential resource for those looking to enhance their interactions with AI in multiple contexts.
win4r/goal-prompt-builder focuses on creating audit-friendly /goal prompts specifically for OpenAI Codex, aiming to streamline the development process by ensuring compliance from the outset. With a growth score of 4.65 and 107 stars, its relevance is underscored by its alignment with best practices in AI-driven software engineering.
chengzhongwei/Prompt-sensei functions as a local-first prompt coach for Claude Code and Codex, aiming to improve prompts, monitor prompting habits, and analyze local history with explicit user consent. Its growth score of 4.13 and 118 stars indicate its growing importance in personalizing AI interactions.
shiphrahx/AI-for-engineering-leaders provides practical AI playbooks for engineering leaders to enhance delivery, decision-making, and team productivity through real-world workflows, prompts, and systems. With a growth score of 3.17 and 50 stars, this project is gaining traction as more teams seek to leverage AI in their day-to-day operations.
bsquang/claude-comstyle offers 13 prompts designed to control Claude's communication style, allowing users to select from various modes that suit their needs best. Its growth score of 2.62 and 27 stars reflect its niche appeal among those who want tailored AI interactions.
mturac/promptguard audits prompts as behavioral contracts, serving as a pre-write guard for agents that ship code. With a growth score of 1.46 and 34 stars, this project's steady growth highlights the increasing demand for robust prompt validation in AI-driven development environments.
These projects collectively demonstrate the ongoing innovation in the Prompt Engineering domain, with developers continuously pushing the boundaries to create more effective and versatile tools for AI interactions across various industries and use cases.
WantongC/journal-adapt-writing-skill helps users learn the specific writing conventions of various journals by analyzing published papers and then revising manuscripts accordingly. With a growth score of 33.83 and 396 stars, this project's popularity reflects its utility for researchers seeking to improve their publication success rates.
A-cat-with-carrots/TypeAnything is another notable tool that leverages AI to transform user input into various linguistic styles, from financial jargon to ancient languages, making it a versatile writing aid. With a growth score of 13.58 and 86 stars, its appeal lies in the creative freedom it offers users who want their text to fit specific tones or contexts.
freestylefly's awesome-gpt-image-2 is an industrial-grade prompt engine and template library for GPT-Image2, featuring over 370 reverse-engineered cases and more than 20 professional templates. Its growth score of 11.35 and a remarkable 5,792 stars highlight its value to developers working on advanced image generation tasks.
Anbeeld/WRITING.md outlines rules for making large language model (LLM) text sharper and genre-aware while including built-in self-auditing workflows. With a growth score of 7.45 and 273 stars, this project stands out due to its comprehensive approach to improving the quality of AI-generated content.
yaojingang/yao-open-prompts is a Chinese AI prompt library covering various scenarios such as work, learning, and daily life. It has garnered significant attention with a growth score of 7.29 and 2,209 stars, making it an essential resource for those looking to enhance their interactions with AI in multiple contexts.
win4r/goal-prompt-builder focuses on creating audit-friendly /goal prompts specifically for OpenAI Codex, aiming to streamline the development process by ensuring compliance from the outset. With a growth score of 4.65 and 107 stars, its relevance is underscored by its alignment with best practices in AI-driven software engineering.
chengzhongwei/Prompt-sensei functions as a local-first prompt coach for Claude Code and Codex, aiming to improve prompts, monitor prompting habits, and analyze local history with explicit user consent. Its growth score of 4.13 and 118 stars indicate its growing importance in personalizing AI interactions.
shiphrahx/AI-for-engineering-leaders provides practical AI playbooks for engineering leaders to enhance delivery, decision-making, and team productivity through real-world workflows, prompts, and systems. With a growth score of 3.17 and 50 stars, this project is gaining traction as more teams seek to leverage AI in their day-to-day operations.
bsquang/claude-comstyle offers 13 prompts designed to control Claude's communication style, allowing users to select from various modes that suit their needs best. Its growth score of 2.62 and 27 stars reflect its niche appeal among those who want tailored AI interactions.
mturac/promptguard audits prompts as behavioral contracts, serving as a pre-write guard for agents that ship code. With a growth score of 1.46 and 34 stars, this project's steady growth highlights the increasing demand for robust prompt validation in AI-driven development environments.
These projects collectively demonstrate the ongoing innovation in the Prompt Engineering domain, with developers continuously pushing the boundaries to create more effective and versatile tools for AI interactions across various industries and use cases.