Today's Prompt Engineering: Fastest-Growing Projects — April 25, 2026
Today's Prompt Engineering, we saw a surge in interest around repositories focused on AI coding agents and multimodal prompt injection. The growth of these tools suggests that developers are increasingly looking for ways to optimize their interactions with language models and push the boundaries of what's possible with prompt engineering. As we dive into Today's top repositories, it's clear that innovation is happening across a range of applications.
The repowise-dev/claude-code-prompts repository (Growth Score: 43.46, Stars: 964) offers independently authored prompt templates for AI coding agents, including system prompts and multi-agent coordination. Its high growth score indicates the demand for well-crafted prompts that can effectively harness the power of language models like Claude.
ZeroLu's awesome-gpt-image repository (Growth Score: 21.47, Stars: 518) has gained traction by curating a collection of top-notch GPT Image 2 prompts and examples from creators on X. With a notable number of commits over the past month (25), this repository is likely growing due to its value as a go-to resource for those working with image generation models.
ShipWithAI's claude-code-mastery repository (Growth Score: 12.48, Stars: 75) stands out with an impressive 94 commits in the last 30 days, showcasing its comprehensive free Claude Code course with 16 phases and 55 modules. Its moderate growth score suggests that developers are seeking structured learning resources to improve their skills in working with AI coding agents.
linedelmont81825829134's LLM-Prompt-Orchestration-Engine (Growth Score: 10.33, Stars: 44) provides a high-performance prompt engineering framework featuring template versioning and automated pipeline integration for LLM-driven applications. Despite having only three commits in the past month, its growth score indicates interest in this type of specialized tool.
EvoLinkAI's awesome-gpt-image-2-prompts (Growth Score: 9.80, Stars: 3,637) boasts an impressive number of stars and a notable growth score, thanks to its curated collection of GPT Image 2 prompts across various applications, such as portraits and UI mockups. With 54 commits in the last month, this repository is likely expanding due to its broad appeal.
ZeroLu's awesome-happy-horse (Growth Score: 6.34, Stars: 62) offers a community-curated resource hub for the Happy Horse model, including prompts, news, and benchmarks. Its moderate growth score suggests interest in exploring the capabilities of this specific language model.
TaewoooPark's NODEPROMPT repository (Growth Score: 5.30, Stars: 32) focuses on spatial prompt engineering through interactive 3D concept graphs. With 29 commits in the past month, its growth score indicates a niche but growing interest in this innovative approach to prompt engineering.
Josh-blythe's bordair-multimodal repository (Growth Score: 5.27, Stars: 38) provides an open-source cross-modal and multimodal prompt injection test suite with over 50,500 attack payloads across various modalities. Its growth score suggests that developers are taking a serious interest in the security implications of working with language models.
Leonxlnx's agentic-ai-prompt-research repository (Growth Score: 3.09, Stars: 2,345) has gained significant traction by exploring how agentic AI coding assistants work, including reconstructed prompt patterns and agent coordination. Its moderate growth score indicates ongoing interest in this area of research.
Lastly, OuterSpacee's claude-emotion-prompting repository (Growth Score: 1.95, Stars: 62) offers a research-backed prompting toolkit for Claude grounded in emotion vectors paper. Although it has only seen one commit in the past month, its growth score suggests that developers are interested in exploring the emotional nuances of language models.
The repowise-dev/claude-code-prompts repository (Growth Score: 43.46, Stars: 964) offers independently authored prompt templates for AI coding agents, including system prompts and multi-agent coordination. Its high growth score indicates the demand for well-crafted prompts that can effectively harness the power of language models like Claude.
ZeroLu's awesome-gpt-image repository (Growth Score: 21.47, Stars: 518) has gained traction by curating a collection of top-notch GPT Image 2 prompts and examples from creators on X. With a notable number of commits over the past month (25), this repository is likely growing due to its value as a go-to resource for those working with image generation models.
ShipWithAI's claude-code-mastery repository (Growth Score: 12.48, Stars: 75) stands out with an impressive 94 commits in the last 30 days, showcasing its comprehensive free Claude Code course with 16 phases and 55 modules. Its moderate growth score suggests that developers are seeking structured learning resources to improve their skills in working with AI coding agents.
linedelmont81825829134's LLM-Prompt-Orchestration-Engine (Growth Score: 10.33, Stars: 44) provides a high-performance prompt engineering framework featuring template versioning and automated pipeline integration for LLM-driven applications. Despite having only three commits in the past month, its growth score indicates interest in this type of specialized tool.
EvoLinkAI's awesome-gpt-image-2-prompts (Growth Score: 9.80, Stars: 3,637) boasts an impressive number of stars and a notable growth score, thanks to its curated collection of GPT Image 2 prompts across various applications, such as portraits and UI mockups. With 54 commits in the last month, this repository is likely expanding due to its broad appeal.
ZeroLu's awesome-happy-horse (Growth Score: 6.34, Stars: 62) offers a community-curated resource hub for the Happy Horse model, including prompts, news, and benchmarks. Its moderate growth score suggests interest in exploring the capabilities of this specific language model.
TaewoooPark's NODEPROMPT repository (Growth Score: 5.30, Stars: 32) focuses on spatial prompt engineering through interactive 3D concept graphs. With 29 commits in the past month, its growth score indicates a niche but growing interest in this innovative approach to prompt engineering.
Josh-blythe's bordair-multimodal repository (Growth Score: 5.27, Stars: 38) provides an open-source cross-modal and multimodal prompt injection test suite with over 50,500 attack payloads across various modalities. Its growth score suggests that developers are taking a serious interest in the security implications of working with language models.
Leonxlnx's agentic-ai-prompt-research repository (Growth Score: 3.09, Stars: 2,345) has gained significant traction by exploring how agentic AI coding assistants work, including reconstructed prompt patterns and agent coordination. Its moderate growth score indicates ongoing interest in this area of research.
Lastly, OuterSpacee's claude-emotion-prompting repository (Growth Score: 1.95, Stars: 62) offers a research-backed prompting toolkit for Claude grounded in emotion vectors paper. Although it has only seen one commit in the past month, its growth score suggests that developers are interested in exploring the emotional nuances of language models.