Today's Prompt Engineering: Fastest-Growing Projects — May 07, 2026
Today's Prompt Engineering, we're seeing a surge in tools that aim to optimize and refine language model prompts for various applications. The trend is shifting towards more specialized solutions that cater to specific use cases, such as industrial-grade prompt engines and cross-modal attack test suites.
yaojingang/yao-open-prompts, with a growth score of 25.56 and 802 stars, is a comprehensive Chinese AI prompt library covering various scenarios, including work, study, content creation, marketing, and daily life. Its popularity stems from its extensive coverage and relevance to the growing Chinese AI market.
Anbeeld/WRITING.md boasts a growth score of 14.27 and 236 stars, offering a set of rules to make LLM text sharper and genre-aware, complete with concrete anchors and a built-in self-auditing workflow. Its growth is driven by the increasing demand for high-quality content generation and the need for standardized writing guidelines.
freestylefly/awesome-gpt-image-2 has garnered 4,358 stars and a growth score of 11.54, providing an industrial-grade prompt engine and template library for GPT-Image2, along with 370+ case studies and 20+ templates. Its rapid growth can be attributed to the increasing adoption of image generation models in various industries.
jia-gao/leanctx has gained a growth score of 10.74 and 42 stars, offering a drop-in prompt compression solution for production LLM applications, aiming to reduce token bills by 40-60% without requiring code changes. Its popularity is driven by the growing need for cost-effective solutions in large-scale language model deployments.
shiphrahx/AI-for-engineering-leaders has a growth score of 8.69 and 46 stars, providing practical AI playbooks for engineering leaders to improve delivery, decision-making, and team productivity with real workflows, prompts, and systems. Its growth is fueled by the increasing adoption of AI in software development and the need for actionable guidance.
chengzhongwei/Prompt-sensei boasts a growth score of 6.62 and 69 stars, acting as a local-first prompt coach for Claude Code and Codex that improves prompts, observes prompting habits, and analyzes local history with explicit consent. Its popularity stems from its unique approach to prompt optimization and user-friendly features.
bsquang/claude-comstyle has gained a growth score of 5.65 and 27 stars, offering 13 prompts to control how Claude communicates — allowing users to choose their preferred style and cut unnecessary noise. Its growth is driven by the increasing adoption of conversational AI models like Claude.
ZeroLu/awesome-happy-horse boasts a growth score of 3.82 and 73 stars, providing a community-curated resource hub for Happy Horse model prompts, news, benchmarks, and sample outputs, including text-to-video and image-to-video examples. Its popularity is fueled by the growing interest in multimodal AI models.
Josh-blythe/bordair-multimodal has gained a growth score of 3.13 and 46 stars, offering an open-source cross-modal and multimodal prompt injection test suite with 50,500+ attack payloads across various modalities. Its growth is driven by the increasing concern for security in AI model development and deployment.
yaojingang/yao-open-prompts, with a growth score of 25.56 and 802 stars, is a comprehensive Chinese AI prompt library covering various scenarios, including work, study, content creation, marketing, and daily life. Its popularity stems from its extensive coverage and relevance to the growing Chinese AI market.
Anbeeld/WRITING.md boasts a growth score of 14.27 and 236 stars, offering a set of rules to make LLM text sharper and genre-aware, complete with concrete anchors and a built-in self-auditing workflow. Its growth is driven by the increasing demand for high-quality content generation and the need for standardized writing guidelines.
freestylefly/awesome-gpt-image-2 has garnered 4,358 stars and a growth score of 11.54, providing an industrial-grade prompt engine and template library for GPT-Image2, along with 370+ case studies and 20+ templates. Its rapid growth can be attributed to the increasing adoption of image generation models in various industries.
jia-gao/leanctx has gained a growth score of 10.74 and 42 stars, offering a drop-in prompt compression solution for production LLM applications, aiming to reduce token bills by 40-60% without requiring code changes. Its popularity is driven by the growing need for cost-effective solutions in large-scale language model deployments.
shiphrahx/AI-for-engineering-leaders has a growth score of 8.69 and 46 stars, providing practical AI playbooks for engineering leaders to improve delivery, decision-making, and team productivity with real workflows, prompts, and systems. Its growth is fueled by the increasing adoption of AI in software development and the need for actionable guidance.
chengzhongwei/Prompt-sensei boasts a growth score of 6.62 and 69 stars, acting as a local-first prompt coach for Claude Code and Codex that improves prompts, observes prompting habits, and analyzes local history with explicit consent. Its popularity stems from its unique approach to prompt optimization and user-friendly features.
bsquang/claude-comstyle has gained a growth score of 5.65 and 27 stars, offering 13 prompts to control how Claude communicates — allowing users to choose their preferred style and cut unnecessary noise. Its growth is driven by the increasing adoption of conversational AI models like Claude.
ZeroLu/awesome-happy-horse boasts a growth score of 3.82 and 73 stars, providing a community-curated resource hub for Happy Horse model prompts, news, benchmarks, and sample outputs, including text-to-video and image-to-video examples. Its popularity is fueled by the growing interest in multimodal AI models.
Josh-blythe/bordair-multimodal has gained a growth score of 3.13 and 46 stars, offering an open-source cross-modal and multimodal prompt injection test suite with 50,500+ attack payloads across various modalities. Its growth is driven by the increasing concern for security in AI model development and deployment.