Today's Prompt Engineering: Fastest-Growing Projects — May 09, 2026
Today's Prompt Engineering, we're seeing a surge in tools and repositories focused on optimizing and fine-tuning language model prompts for various applications. The growth scores of these projects indicate a high level of interest from developers and researchers looking to improve their AI workflows. Notably, many of these tools are focused on providing more effective and efficient ways to interact with large language models.
Yao Open Prompts (Growth Score: 17.20, Stars: 1,433) is a Chinese AI prompt library that covers various scenarios, including work, learning, content creation, marketing, and daily life. Its high growth score suggests that developers are eager for pre-built prompts that can help them get started with their AI projects. With 15 commits in the last 30 days, this repository is actively maintained and updated.
WRITING.md (Growth Score: 12.73, Stars: 244) provides a set of rules to make LLM text sharper and more genre-aware, along with a self-auditing workflow. This tool's growth can be attributed to its focus on improving the quality and consistency of AI-generated content, which is a key concern for many developers and writers.
Awesome GPT-Image 2 (Growth Score: 12.06, Stars: 4,751) is an industrial-grade prompt engine and template library that includes over 370 case studies and 20+ industry-level templates. With 78 commits in the last 30 days, this repository is highly active and widely adopted, likely due to its comprehensive collection of prompts and templates.
Goal Prompt Builder (Growth Score: 11.75, Stars: 55) helps users build audit-friendly goal prompts for OpenAI Codex. Although it has a relatively low number of commits in the last 30 days, its growth score indicates that developers are interested in using this tool to improve their AI workflows.
Leanctx (Growth Score: 10.74, Stars: 85) is a drop-in prompt compression library that can reduce token bills by 40-60% without changing code. With 61 commits in the last 30 days, this repository is actively maintained and likely growing due to its potential cost savings for developers.
AI for Engineering Leaders (Growth Score: 6.95, Stars: 46) provides practical AI playbooks for engineering leaders to improve delivery, decision-making, and team productivity. This tool's growth can be attributed to its focus on providing actionable advice and workflows for engineering teams looking to adopt AI.
Prompt-sensei (Growth Score: 6.68, Stars: 94) is a local-first prompt coach that improves prompts, observes prompting habits, and analyzes local history with explicit consent. With 10 commits in the last 30 days, this repository is relatively active and may be growing due to its focus on improving user interactions with AI models.
Claude Comstyle (Growth Score: 4.90, Stars: 27) offers 13 prompts to control how Claude communicates, allowing users to choose their style and cut noise. Although it has a lower growth score, this tool's focus on customizing AI communication may be attracting interest from developers looking for more flexible AI interactions.
Bordair Multimodal (Growth Score: 2.91, Stars: 46) is an open-source cross-modal and multimodal prompt injection test suite that includes over 50,500 attack payloads across various modalities. Although it has a lower growth score, this repository's comprehensive test suite may be attracting interest from researchers and developers looking to improve AI security.
Yao Open Prompts (Growth Score: 17.20, Stars: 1,433) is a Chinese AI prompt library that covers various scenarios, including work, learning, content creation, marketing, and daily life. Its high growth score suggests that developers are eager for pre-built prompts that can help them get started with their AI projects. With 15 commits in the last 30 days, this repository is actively maintained and updated.
WRITING.md (Growth Score: 12.73, Stars: 244) provides a set of rules to make LLM text sharper and more genre-aware, along with a self-auditing workflow. This tool's growth can be attributed to its focus on improving the quality and consistency of AI-generated content, which is a key concern for many developers and writers.
Awesome GPT-Image 2 (Growth Score: 12.06, Stars: 4,751) is an industrial-grade prompt engine and template library that includes over 370 case studies and 20+ industry-level templates. With 78 commits in the last 30 days, this repository is highly active and widely adopted, likely due to its comprehensive collection of prompts and templates.
Goal Prompt Builder (Growth Score: 11.75, Stars: 55) helps users build audit-friendly goal prompts for OpenAI Codex. Although it has a relatively low number of commits in the last 30 days, its growth score indicates that developers are interested in using this tool to improve their AI workflows.
Leanctx (Growth Score: 10.74, Stars: 85) is a drop-in prompt compression library that can reduce token bills by 40-60% without changing code. With 61 commits in the last 30 days, this repository is actively maintained and likely growing due to its potential cost savings for developers.
AI for Engineering Leaders (Growth Score: 6.95, Stars: 46) provides practical AI playbooks for engineering leaders to improve delivery, decision-making, and team productivity. This tool's growth can be attributed to its focus on providing actionable advice and workflows for engineering teams looking to adopt AI.
Prompt-sensei (Growth Score: 6.68, Stars: 94) is a local-first prompt coach that improves prompts, observes prompting habits, and analyzes local history with explicit consent. With 10 commits in the last 30 days, this repository is relatively active and may be growing due to its focus on improving user interactions with AI models.
Claude Comstyle (Growth Score: 4.90, Stars: 27) offers 13 prompts to control how Claude communicates, allowing users to choose their style and cut noise. Although it has a lower growth score, this tool's focus on customizing AI communication may be attracting interest from developers looking for more flexible AI interactions.
Bordair Multimodal (Growth Score: 2.91, Stars: 46) is an open-source cross-modal and multimodal prompt injection test suite that includes over 50,500 attack payloads across various modalities. Although it has a lower growth score, this repository's comprehensive test suite may be attracting interest from researchers and developers looking to improve AI security.