Today's Prompt Engineering: Fastest-Growing Projects — April 18, 2026
Today's Prompt Engineering, we've seen a surge in repositories focused on AI coding agents and multimodal prompt injection. The trend suggests that developers are increasingly interested in optimizing their interactions with language models like Claude Code. As a result, we're seeing growth across various tools designed to improve prompt engineering.
Repowise-dev's claude-code-prompts repository has taken the lead this week, boasting a Growth Score of 60.59 and 944 stars. This collection of independently authored prompt templates for AI coding agents is informed by studying Claude Code and offers system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Its popularity stems from its comprehensive approach to helping developers work effectively with Claude Code.
AmitShekhariITBHU's ai-engineering-interview-questions repository has seen significant growth this week, earning a Growth Score of 34.45 and 1,071 stars. This cheat sheet for AI engineering interviews provides questions and answers, making it an invaluable resource for developers looking to brush up on their skills. Its growth is likely due to the increasing demand for skilled professionals in the field.
ShipWithAI's claude-code-mastery repository has achieved a Growth Score of 15.00 and 72 stars with its comprehensive free Claude Code course, covering 16 phases and 55 modules in English and Vietnamese. This extensive resource is attracting attention from developers seeking to master Claude Code, driving its growth this week.
ZeroLu's awesome-happy-horse repository has earned a Growth Score of 10.50 and 57 stars by providing a community-curated hub for the Happy Horse model, featuring prompts, news, benchmarks, and sample outputs. Its growth is likely due to the increasing popularity of the Happy Horse model among developers.
TaewoooPark's NODEPROMPT repository has achieved a Growth Score of 6.69 and 30 stars with its spatial prompt engineering approach through interactive 3D concept graphs. This innovative tool is gaining traction among developers looking for new ways to interact with language models.
Josh-blythe's bordair-multimodal repository has earned a Growth Score of 6.06 and 31 stars by offering an open-source cross-modal and multimodal prompt injection test suite, featuring over 50,500 attack payloads across various modalities. Its growth is likely due to the increasing importance of security testing in AI development.
Leonxlnx's agentic-ai-prompt-research repository has maintained a steady Growth Score of 4.39 and 2,316 stars with its research into how agentic AI coding assistants work, including reconstructed prompt patterns, agent coordination, and security classification. Its enduring popularity stems from the significance of this research in understanding the inner workings of language models.
OuterSpacee's claude-emotion-prompting repository has achieved a Growth Score of 2.80 and 60 stars by providing a research-backed prompting toolkit for Claude, grounded in Anthropic's emotion vectors paper. This specialized tool is attracting attention from developers looking to explore the emotional aspects of prompt engineering.
JonusNattapong's ClaudeCode-Learning repository has earned a Growth Score of 1.79 and 28 stars with its learning resources for Prompt Engineering. Although its growth score is lower than others on this list, it remains a valuable resource for developers seeking to improve their skills in this area.
Repowise-dev's claude-code-prompts repository has taken the lead this week, boasting a Growth Score of 60.59 and 944 stars. This collection of independently authored prompt templates for AI coding agents is informed by studying Claude Code and offers system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Its popularity stems from its comprehensive approach to helping developers work effectively with Claude Code.
AmitShekhariITBHU's ai-engineering-interview-questions repository has seen significant growth this week, earning a Growth Score of 34.45 and 1,071 stars. This cheat sheet for AI engineering interviews provides questions and answers, making it an invaluable resource for developers looking to brush up on their skills. Its growth is likely due to the increasing demand for skilled professionals in the field.
ShipWithAI's claude-code-mastery repository has achieved a Growth Score of 15.00 and 72 stars with its comprehensive free Claude Code course, covering 16 phases and 55 modules in English and Vietnamese. This extensive resource is attracting attention from developers seeking to master Claude Code, driving its growth this week.
ZeroLu's awesome-happy-horse repository has earned a Growth Score of 10.50 and 57 stars by providing a community-curated hub for the Happy Horse model, featuring prompts, news, benchmarks, and sample outputs. Its growth is likely due to the increasing popularity of the Happy Horse model among developers.
TaewoooPark's NODEPROMPT repository has achieved a Growth Score of 6.69 and 30 stars with its spatial prompt engineering approach through interactive 3D concept graphs. This innovative tool is gaining traction among developers looking for new ways to interact with language models.
Josh-blythe's bordair-multimodal repository has earned a Growth Score of 6.06 and 31 stars by offering an open-source cross-modal and multimodal prompt injection test suite, featuring over 50,500 attack payloads across various modalities. Its growth is likely due to the increasing importance of security testing in AI development.
Leonxlnx's agentic-ai-prompt-research repository has maintained a steady Growth Score of 4.39 and 2,316 stars with its research into how agentic AI coding assistants work, including reconstructed prompt patterns, agent coordination, and security classification. Its enduring popularity stems from the significance of this research in understanding the inner workings of language models.
OuterSpacee's claude-emotion-prompting repository has achieved a Growth Score of 2.80 and 60 stars by providing a research-backed prompting toolkit for Claude, grounded in Anthropic's emotion vectors paper. This specialized tool is attracting attention from developers looking to explore the emotional aspects of prompt engineering.
JonusNattapong's ClaudeCode-Learning repository has earned a Growth Score of 1.79 and 28 stars with its learning resources for Prompt Engineering. Although its growth score is lower than others on this list, it remains a valuable resource for developers seeking to improve their skills in this area.