Today's Prompt Engineering: Fastest-Growing Projects — April 30, 2026
Today's Prompt Engineering, we're seeing a surge of interest in community-driven repositories that provide pre-built prompts and templates for popular AI models like Claude Code and GPT Image. The trend suggests that developers are looking for ways to streamline their prompt engineering workflows and tap into collective knowledge to improve the performance of their AI applications.
Repowise-dev's claude-code-prompts repository is gaining traction with a growth score of 36.36 and 981 stars, as it offers independently authored prompt templates for AI coding agents that cover system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. The repository's popularity can be attributed to its comprehensive coverage of Claude Code's capabilities and the community's desire for high-quality, pre-built prompts.
ZeroLu's awesome-gpt-image repository has a growth score of 28.91 and 922 stars, showcasing a curated collection of top-performing GPT Image 2 prompts and examples from creators on X. The repository's growth can be attributed to its focus on visual applications of GPT Image, which is an increasingly popular use case for the model.
Anbeeld's WRITING.md repository has a growth score of 24.33 and 160 stars, providing rules to make LLM text sharper and genre-aware, along with a built-in self-auditing workflow. The repository's popularity stems from its focus on improving the quality of language model outputs, which is a pressing concern for many developers working with large language models.
EvoLinkAI's awesome-gpt-image-2-prompts repository boasts an impressive 9,847 stars and a growth score of 14.18, featuring curated GPT Image 2 prompts across various domains like portraits, posters, UI mockups, character sheets, and community experiments. The repository's massive following can be attributed to its comprehensive coverage of GPT Image 2's capabilities and the community's desire for pre-built prompts.
Bsquang's claude-comstyle repository has a growth score of 12.17 and 26 stars, offering 13 prompts to control how Claude communicates and allowing users to choose their preferred style. The repository's popularity can be attributed to its focus on fine-grained control over Claude's output, which is an important consideration for many developers.
ZeroLu's awesome-happy-horse repository has a growth score of 4.95 and 67 stars, showcasing community-curated prompts, news, benchmarks, and sample outputs for the Happy Horse model. The repository's growth can be attributed to its focus on a specific AI model and the community's desire for resources and knowledge sharing.
TaewoooPark's NODEPROMPT repository has a growth score of 4.46 and 37 stars, introducing spatial prompt engineering through interactive 3D concept graphs. The repository's popularity stems from its innovative approach to prompt engineering, which has piqued the interest of developers looking for new ways to interact with AI models.
Josh-blythe's bordair-multimodal repository has a growth score of 4.15 and 43 stars, providing an open-source cross-modal and multimodal prompt injection test suite with over 50,500 attack payloads. The repository's popularity can be attributed to its focus on security testing for large language models, which is a growing concern in the AI development community.
OuterSpacee's claude-emotion-prompting repository has a growth score of 1.59 and 62 stars, offering research-backed prompting toolkit for Claude grounded in Anthropic's 2026 emotion vectors paper. The repository's popularity stems from its focus on emotional intelligence in AI models, which is an emerging area of interest.
JonusNattapong's ClaudeCode-Learning repository has a growth score of 1.05 and 28 stars, providing resources for learning prompt engineering with Claude Code. Although the repository's growth is relatively slow, it still contributes to the overall trend of community-driven knowledge sharing in Prompt Engineering.
Repowise-dev's claude-code-prompts repository is gaining traction with a growth score of 36.36 and 981 stars, as it offers independently authored prompt templates for AI coding agents that cover system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. The repository's popularity can be attributed to its comprehensive coverage of Claude Code's capabilities and the community's desire for high-quality, pre-built prompts.
ZeroLu's awesome-gpt-image repository has a growth score of 28.91 and 922 stars, showcasing a curated collection of top-performing GPT Image 2 prompts and examples from creators on X. The repository's growth can be attributed to its focus on visual applications of GPT Image, which is an increasingly popular use case for the model.
Anbeeld's WRITING.md repository has a growth score of 24.33 and 160 stars, providing rules to make LLM text sharper and genre-aware, along with a built-in self-auditing workflow. The repository's popularity stems from its focus on improving the quality of language model outputs, which is a pressing concern for many developers working with large language models.
EvoLinkAI's awesome-gpt-image-2-prompts repository boasts an impressive 9,847 stars and a growth score of 14.18, featuring curated GPT Image 2 prompts across various domains like portraits, posters, UI mockups, character sheets, and community experiments. The repository's massive following can be attributed to its comprehensive coverage of GPT Image 2's capabilities and the community's desire for pre-built prompts.
Bsquang's claude-comstyle repository has a growth score of 12.17 and 26 stars, offering 13 prompts to control how Claude communicates and allowing users to choose their preferred style. The repository's popularity can be attributed to its focus on fine-grained control over Claude's output, which is an important consideration for many developers.
ZeroLu's awesome-happy-horse repository has a growth score of 4.95 and 67 stars, showcasing community-curated prompts, news, benchmarks, and sample outputs for the Happy Horse model. The repository's growth can be attributed to its focus on a specific AI model and the community's desire for resources and knowledge sharing.
TaewoooPark's NODEPROMPT repository has a growth score of 4.46 and 37 stars, introducing spatial prompt engineering through interactive 3D concept graphs. The repository's popularity stems from its innovative approach to prompt engineering, which has piqued the interest of developers looking for new ways to interact with AI models.
Josh-blythe's bordair-multimodal repository has a growth score of 4.15 and 43 stars, providing an open-source cross-modal and multimodal prompt injection test suite with over 50,500 attack payloads. The repository's popularity can be attributed to its focus on security testing for large language models, which is a growing concern in the AI development community.
OuterSpacee's claude-emotion-prompting repository has a growth score of 1.59 and 62 stars, offering research-backed prompting toolkit for Claude grounded in Anthropic's 2026 emotion vectors paper. The repository's popularity stems from its focus on emotional intelligence in AI models, which is an emerging area of interest.
JonusNattapong's ClaudeCode-Learning repository has a growth score of 1.05 and 28 stars, providing resources for learning prompt engineering with Claude Code. Although the repository's growth is relatively slow, it still contributes to the overall trend of community-driven knowledge sharing in Prompt Engineering.