Today's Prompt Engineering: Fastest-Growing Projects — April 23, 2026
Today's Prompt Engineering, we're seeing a surge in interest around repositories focused on crafting high-quality prompts for AI coding agents, particularly those centered around Claude Code. Additionally, there's a growing trend towards community-curated collections of effective prompts for various AI models, showcasing the importance of collaboration and sharing knowledge in this space.
repowise-dev/claude-code-prompts (Growth Score: 47.20, Stars: 955) offers independently authored prompt templates for AI coding agents, covering system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. With a significant growth score of 47.20 and over 950 stars, this repository is gaining traction due to its comprehensive approach to prompt engineering.
ShipWithAI/claude-code-mastery (Growth Score: 13.42, Stars: 74) provides an extensive free Claude Code course with 16 phases and 55 modules in both English and Vietnamese. Its growth can be attributed to the increasing demand for educational resources on mastering AI coding agents, as evident from its 94 commits over the past month.
ZeroLu/awesome-gpt-image (Growth Score: 10.94, Stars: 191) curates top-notch GPT Image 2 prompts and examples from leading creators on X. This repository's popularity stems from its focus on visual AI models and the value of having a centralized collection of effective prompts.
EvoLinkAI/awesome-gpt-image-2-prompts (Growth Score: 9.04, Stars: 2,357) offers an extensive collection of curated GPT-Image-2 prompts for various applications, including portraits, posters, and UI mockups. Its impressive growth score and star count are testaments to the community's enthusiasm for high-quality prompts that drive AI model performance.
ZeroLu/awesome-happy-horse (Growth Score: 7.21, Stars: 61) serves as a resource hub for Happy Horse AI, featuring community-curated prompts, news, benchmarks, and sample outputs for text-to-video and image-to-video tasks. Its growth is likely driven by the growing interest in this specific AI model.
TaewoooPark/NODEPROMPT (Growth Score: 5.19, Stars: 31) introduces spatial prompt engineering through interactive 3D concept graphs, providing a unique approach to prompt design. Although relatively new, its innovative approach has garnered attention and growth within the community.
Josh-blythe/bordair-multimodal (Growth Score: 5.00, Stars: 34) presents an open-source test suite for cross-modal and multimodal prompt injection attacks across various modalities. Its growth can be attributed to the increasing importance of AI security research and testing.
Leonxlnx/agentic-ai-prompt-research (Growth Score: 3.39, Stars: 2,336) delves into the inner workings of agentic AI coding assistants through reconstructed prompt patterns, agent coordination, and security classification. Despite its lower growth score, this repository remains highly popular due to its in-depth analysis and insights.
OuterSpacee/claude-emotion-prompting (Growth Score: 2.15, Stars: 62) offers a research-backed prompting toolkit for Claude grounded in emotion vectors paper by Anthropic. Its growth is slower but steady, reflecting the niche interest in this specific area of prompt engineering.
JonusNattapong/ClaudeCode-Learning (Growth Score: 1.39, Stars: 28) provides educational resources on Prompt Engineering using Claude Code. Although not as prominent yet, its presence indicates a growing demand for learning materials focused on AI coding agents.
repowise-dev/claude-code-prompts (Growth Score: 47.20, Stars: 955) offers independently authored prompt templates for AI coding agents, covering system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. With a significant growth score of 47.20 and over 950 stars, this repository is gaining traction due to its comprehensive approach to prompt engineering.
ShipWithAI/claude-code-mastery (Growth Score: 13.42, Stars: 74) provides an extensive free Claude Code course with 16 phases and 55 modules in both English and Vietnamese. Its growth can be attributed to the increasing demand for educational resources on mastering AI coding agents, as evident from its 94 commits over the past month.
ZeroLu/awesome-gpt-image (Growth Score: 10.94, Stars: 191) curates top-notch GPT Image 2 prompts and examples from leading creators on X. This repository's popularity stems from its focus on visual AI models and the value of having a centralized collection of effective prompts.
EvoLinkAI/awesome-gpt-image-2-prompts (Growth Score: 9.04, Stars: 2,357) offers an extensive collection of curated GPT-Image-2 prompts for various applications, including portraits, posters, and UI mockups. Its impressive growth score and star count are testaments to the community's enthusiasm for high-quality prompts that drive AI model performance.
ZeroLu/awesome-happy-horse (Growth Score: 7.21, Stars: 61) serves as a resource hub for Happy Horse AI, featuring community-curated prompts, news, benchmarks, and sample outputs for text-to-video and image-to-video tasks. Its growth is likely driven by the growing interest in this specific AI model.
TaewoooPark/NODEPROMPT (Growth Score: 5.19, Stars: 31) introduces spatial prompt engineering through interactive 3D concept graphs, providing a unique approach to prompt design. Although relatively new, its innovative approach has garnered attention and growth within the community.
Josh-blythe/bordair-multimodal (Growth Score: 5.00, Stars: 34) presents an open-source test suite for cross-modal and multimodal prompt injection attacks across various modalities. Its growth can be attributed to the increasing importance of AI security research and testing.
Leonxlnx/agentic-ai-prompt-research (Growth Score: 3.39, Stars: 2,336) delves into the inner workings of agentic AI coding assistants through reconstructed prompt patterns, agent coordination, and security classification. Despite its lower growth score, this repository remains highly popular due to its in-depth analysis and insights.
OuterSpacee/claude-emotion-prompting (Growth Score: 2.15, Stars: 62) offers a research-backed prompting toolkit for Claude grounded in emotion vectors paper by Anthropic. Its growth is slower but steady, reflecting the niche interest in this specific area of prompt engineering.
JonusNattapong/ClaudeCode-Learning (Growth Score: 1.39, Stars: 28) provides educational resources on Prompt Engineering using Claude Code. Although not as prominent yet, its presence indicates a growing demand for learning materials focused on AI coding agents.