Prompt Engineering: Fastest-Growing Projects — May 05, 2026
The Prompt Engineering space has seen significant activity this week, with a focus on curating and optimizing prompts for various AI models. Developers are creating repositories that provide high-quality prompts, examples, and guidelines to improve the performance of these models. This trend is reflected in the growth scores and star counts of the top tools in this category.
ZeroLu's awesome-gpt-image repository has taken the lead with a remarkable Growth Score of 28.20 and 1,072 stars. This curated collection of GPT Image 2 prompts and examples from top creators on X has gained popularity due to its comprehensive nature and the value it provides to developers working with GPT Image 2. With 44 commits in the past 30 days, this repository is actively maintained and updated.
Anbeeld's WRITING.md repository has also shown notable growth, with a Growth Score of 15.27 and 201 stars. This repository provides rules to make LLM text sharper and genre-aware, along with concrete anchors and a built-in self-auditing workflow. Its popularity can be attributed to the increasing demand for high-quality text output from LLMs, and this repository's unique approach to achieving that.
Freestylefly's awesome-gpt-image-2 repository boasts an impressive 3,611 stars and a Growth Score of 11.85. This comprehensive library of prompts and templates for GPT-Image2 has gained widespread adoption due to its extensive collection of industrial-level examples and templates. With 47 commits in the past month, this repository is being continuously updated and expanded.
Shiphrahx's AI-for-engineering-leaders repository has seen significant growth with a Growth Score of 11.50 and 45 stars. This practical playbook for engineering leaders provides real workflows, prompts, and systems to improve delivery, decision-making, and team productivity. Its popularity can be attributed to the increasing interest in leveraging AI to enhance engineering leadership.
Bsquang's claude-comstyle repository has a Growth Score of 6.64 and 26 stars, offering 13 prompts to control how Claude communicates. This unique approach to customizing communication styles has gained traction among developers working with Claude, making it an essential tool for those seeking more nuanced interactions.
Chengzhongwei's Prompt-sensei repository boasts a Growth Score of 6.35 and 46 stars. As a local-first prompt coach for Claude Code and Codex, this tool improves prompts, observes prompting habits, and analyzes local history with explicit consent. Its growth can be attributed to the increasing demand for more personalized and effective prompt management.
ZeroLu's awesome-happy-horse repository has seen moderate growth with a Growth Score of 4.06 and 70 stars. This community-curated hub for Happy Horse model prompts, news, benchmarks, and sample outputs provides valuable resources for developers working with this AI model. Its popularity can be attributed to the growing interest in text-to-video and image-to-video examples.
Josh-blythe's bordair-multimodal repository has a Growth Score of 3.36 and 45 stars, offering an open-source cross-modal and multimodal prompt injection test suite. This comprehensive collection of attack payloads across various modalities has gained attention from researchers and developers seeking to improve the security of their AI models.
Overall, Today's trends in Prompt Engineering reflect the growing demand for high-quality prompts, effective prompt management, and more nuanced interactions with AI models. As these tools continue to evolve and gain popularity, we can expect significant advancements in the field of Prompt Engineering.
ZeroLu's awesome-gpt-image repository has taken the lead with a remarkable Growth Score of 28.20 and 1,072 stars. This curated collection of GPT Image 2 prompts and examples from top creators on X has gained popularity due to its comprehensive nature and the value it provides to developers working with GPT Image 2. With 44 commits in the past 30 days, this repository is actively maintained and updated.
Anbeeld's WRITING.md repository has also shown notable growth, with a Growth Score of 15.27 and 201 stars. This repository provides rules to make LLM text sharper and genre-aware, along with concrete anchors and a built-in self-auditing workflow. Its popularity can be attributed to the increasing demand for high-quality text output from LLMs, and this repository's unique approach to achieving that.
Freestylefly's awesome-gpt-image-2 repository boasts an impressive 3,611 stars and a Growth Score of 11.85. This comprehensive library of prompts and templates for GPT-Image2 has gained widespread adoption due to its extensive collection of industrial-level examples and templates. With 47 commits in the past month, this repository is being continuously updated and expanded.
Shiphrahx's AI-for-engineering-leaders repository has seen significant growth with a Growth Score of 11.50 and 45 stars. This practical playbook for engineering leaders provides real workflows, prompts, and systems to improve delivery, decision-making, and team productivity. Its popularity can be attributed to the increasing interest in leveraging AI to enhance engineering leadership.
Bsquang's claude-comstyle repository has a Growth Score of 6.64 and 26 stars, offering 13 prompts to control how Claude communicates. This unique approach to customizing communication styles has gained traction among developers working with Claude, making it an essential tool for those seeking more nuanced interactions.
Chengzhongwei's Prompt-sensei repository boasts a Growth Score of 6.35 and 46 stars. As a local-first prompt coach for Claude Code and Codex, this tool improves prompts, observes prompting habits, and analyzes local history with explicit consent. Its growth can be attributed to the increasing demand for more personalized and effective prompt management.
ZeroLu's awesome-happy-horse repository has seen moderate growth with a Growth Score of 4.06 and 70 stars. This community-curated hub for Happy Horse model prompts, news, benchmarks, and sample outputs provides valuable resources for developers working with this AI model. Its popularity can be attributed to the growing interest in text-to-video and image-to-video examples.
Josh-blythe's bordair-multimodal repository has a Growth Score of 3.36 and 45 stars, offering an open-source cross-modal and multimodal prompt injection test suite. This comprehensive collection of attack payloads across various modalities has gained attention from researchers and developers seeking to improve the security of their AI models.
Overall, Today's trends in Prompt Engineering reflect the growing demand for high-quality prompts, effective prompt management, and more nuanced interactions with AI models. As these tools continue to evolve and gain popularity, we can expect significant advancements in the field of Prompt Engineering.