Today's Prompt Engineering: Fastest-Growing Projects — May 08, 2026
Today's Prompt Engineering, we're seeing a surge in tools that focus on improving the efficiency and effectiveness of language model prompts. From prompt compression to multimodal injection testing, developers are creating innovative solutions to help users get more out of their LLMs. With growth scores ranging from 3 to 19, these projects are gaining traction quickly.
yaojingang/yao-open-prompts is a comprehensive library of Chinese AI prompts covering various scenarios such as work, learning, content creation, and marketing. Its high growth score of 19.12 and over 1,085 stars indicate its popularity among developers seeking to tap into the vast potential of Chinese language models.
Anbeeld/WRITING.md provides rules for crafting sharper and more genre-aware text with concrete anchors and a built-in self-auditing workflow. With a growth score of 13.54 and 241 stars, this project is gaining attention from writers and developers looking to refine their LLM-generated content.
freestylefly/awesome-gpt-image-2 is an industrial-level prompt engine and template library for GPT-Image2, boasting over 370 cases of reverse engineering and 20+ sets of industrial-grade templates. Its impressive growth score of 11.74 and 4,420 stars demonstrate the high demand for efficient image generation tools.
jia-gao/leanctx offers a drop-in prompt compression solution for production LLM apps, aiming to cut token bills by 40-60% without requiring code changes. With a growth score of 10.43 and 51 stars, this project is attracting developers seeking to optimize their LLM usage.
shiphrahx/AI-for-engineering-leaders provides practical AI playbooks for engineering leaders to enhance delivery, decision-making, and team productivity with real workflows, prompts, and systems. Its growth score of 7.72 and 46 stars indicate a growing interest in applying AI solutions to improve leadership efficiency.
chengzhongwei/Prompt-sensei is a local-first prompt coach that improves prompts, observes prompting habits, and analyzes local history for Claude Code and Codex users. With a growth score of 6.27 and 70 stars, this project is gaining popularity among developers seeking personalized prompt optimization.
bsquang/claude-comstyle offers 13 prompts to control how Claude communicates, allowing users to choose their preferred style and cut noise. Its growth score of 5.25 and 27 stars demonstrate a growing interest in tailoring LLM output to specific needs.
ZeroLu/awesome-happy-horse is a community-curated resource hub for the Happy Horse model, featuring prompts, news, benchmarks, and sample outputs. With a growth score of 3.69 and 73 stars, this project is attracting users seeking to explore the capabilities of this LLM.
Josh-blythe/bordair-multimodal is an open-source test suite for cross-modal and multimodal prompt injection attacks across various modalities. Its growth score of 3.02 and 46 stars indicate a growing interest in ensuring the security and robustness of LLMs.
These projects showcase the diversity and innovation happening in the Prompt Engineering space, with developers creating solutions to improve efficiency, effectiveness, and security.
yaojingang/yao-open-prompts is a comprehensive library of Chinese AI prompts covering various scenarios such as work, learning, content creation, and marketing. Its high growth score of 19.12 and over 1,085 stars indicate its popularity among developers seeking to tap into the vast potential of Chinese language models.
Anbeeld/WRITING.md provides rules for crafting sharper and more genre-aware text with concrete anchors and a built-in self-auditing workflow. With a growth score of 13.54 and 241 stars, this project is gaining attention from writers and developers looking to refine their LLM-generated content.
freestylefly/awesome-gpt-image-2 is an industrial-level prompt engine and template library for GPT-Image2, boasting over 370 cases of reverse engineering and 20+ sets of industrial-grade templates. Its impressive growth score of 11.74 and 4,420 stars demonstrate the high demand for efficient image generation tools.
jia-gao/leanctx offers a drop-in prompt compression solution for production LLM apps, aiming to cut token bills by 40-60% without requiring code changes. With a growth score of 10.43 and 51 stars, this project is attracting developers seeking to optimize their LLM usage.
shiphrahx/AI-for-engineering-leaders provides practical AI playbooks for engineering leaders to enhance delivery, decision-making, and team productivity with real workflows, prompts, and systems. Its growth score of 7.72 and 46 stars indicate a growing interest in applying AI solutions to improve leadership efficiency.
chengzhongwei/Prompt-sensei is a local-first prompt coach that improves prompts, observes prompting habits, and analyzes local history for Claude Code and Codex users. With a growth score of 6.27 and 70 stars, this project is gaining popularity among developers seeking personalized prompt optimization.
bsquang/claude-comstyle offers 13 prompts to control how Claude communicates, allowing users to choose their preferred style and cut noise. Its growth score of 5.25 and 27 stars demonstrate a growing interest in tailoring LLM output to specific needs.
ZeroLu/awesome-happy-horse is a community-curated resource hub for the Happy Horse model, featuring prompts, news, benchmarks, and sample outputs. With a growth score of 3.69 and 73 stars, this project is attracting users seeking to explore the capabilities of this LLM.
Josh-blythe/bordair-multimodal is an open-source test suite for cross-modal and multimodal prompt injection attacks across various modalities. Its growth score of 3.02 and 46 stars indicate a growing interest in ensuring the security and robustness of LLMs.
These projects showcase the diversity and innovation happening in the Prompt Engineering space, with developers creating solutions to improve efficiency, effectiveness, and security.