Today's Prompt Engineering: Fastest-Growing Projects — April 30, 2026
This week, the Prompt Engineering space saw significant growth in repositories focused on fine-tuning language models for specific tasks and applications. The trend suggests that developers are increasingly interested in optimizing their prompts to achieve better results from AI agents like Claude Code and GPT Image 2. With a growing number of curated prompt collections and research-backed toolkits emerging, the community is likely to benefit from improved performance and efficiency.
Repowise-dev's claude-code-prompts repository has seen substantial growth with a score of 36.38 and 982 stars, offering independently authored prompt templates for AI coding agents that cover system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Its popularity can be attributed to its comprehensive approach to prompt engineering, informed by studying Claude Code.
ZeroLu's awesome-gpt-image repository has garnered significant attention with a growth score of 29.96 and 961 stars, featuring a curated collection of the best GPT Image 2 prompts and examples from top creators on X. Its popularity stems from providing high-quality prompts that help developers achieve better results from their image generation tasks.
Anbeeld's WRITING.md repository has gained traction with a growth score of 25.50 and 171 stars, offering rules to make LLM text sharper and genre-aware, along with concrete anchors and built-in self-auditing workflow. Its growing popularity can be attributed to its focus on improving the quality of large language model outputs.
EvoLinkAI's awesome-gpt-image-2-prompts repository boasts an impressive 10,522 stars and a growth score of 15.22, showcasing curated GPT-Image-2 prompts for various applications such as portraits, posters, UI mockups, character sheets, and community experiments. Its popularity can be attributed to its comprehensive collection of high-quality prompts that cater to diverse needs.
Bsquang's claude-comstyle repository has seen steady growth with a score of 12.25 and 27 stars, offering 13 prompts to control how Claude communicates — allowing users to choose their style and cut the noise. Its popularity stems from providing a concise and effective way to fine-tune Claude's communication.
ZeroLu's awesome-happy-horse repository has garnered interest with a growth score of 4.95 and 67 stars, featuring community-curated prompts, news, benchmarks, prompts, and sample outputs for the Happy Horse model. Its growing popularity can be attributed to its focus on providing resources for the Happy Horse AI model.
TaewoooPark's NODEPROMPT repository has seen moderate growth with a score of 4.46 and 37 stars, offering spatial prompt engineering through interactive 3D concept graphs. Its popularity stems from providing an innovative approach to prompt engineering using visual representations.
Josh-blythe's bordair-multimodal repository has gained attention with a growth score of 4.15 and 43 stars, featuring an open-source cross-modal and multimodal prompt injection test suite with 50,500+ attack payloads across text, image, document, and audio modalities. Its growing popularity can be attributed to its comprehensive approach to testing prompt injections.
OuterSpacee's claude-emotion-prompting repository has seen slow growth with a score of 1.59 and 62 stars, offering a research-backed prompting toolkit for Claude grounded in Anthropic's 2026 emotion vectors paper. Its popularity stems from providing a scientifically backed approach to emotional prompting.
JonusNattapong's ClaudeCode-Learning repository has gained minimal attention with a growth score of 1.05 and 28 stars, focusing on ClaudeCode learning for prompt engineering.
Repowise-dev's claude-code-prompts repository has seen substantial growth with a score of 36.38 and 982 stars, offering independently authored prompt templates for AI coding agents that cover system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Its popularity can be attributed to its comprehensive approach to prompt engineering, informed by studying Claude Code.
ZeroLu's awesome-gpt-image repository has garnered significant attention with a growth score of 29.96 and 961 stars, featuring a curated collection of the best GPT Image 2 prompts and examples from top creators on X. Its popularity stems from providing high-quality prompts that help developers achieve better results from their image generation tasks.
Anbeeld's WRITING.md repository has gained traction with a growth score of 25.50 and 171 stars, offering rules to make LLM text sharper and genre-aware, along with concrete anchors and built-in self-auditing workflow. Its growing popularity can be attributed to its focus on improving the quality of large language model outputs.
EvoLinkAI's awesome-gpt-image-2-prompts repository boasts an impressive 10,522 stars and a growth score of 15.22, showcasing curated GPT-Image-2 prompts for various applications such as portraits, posters, UI mockups, character sheets, and community experiments. Its popularity can be attributed to its comprehensive collection of high-quality prompts that cater to diverse needs.
Bsquang's claude-comstyle repository has seen steady growth with a score of 12.25 and 27 stars, offering 13 prompts to control how Claude communicates — allowing users to choose their style and cut the noise. Its popularity stems from providing a concise and effective way to fine-tune Claude's communication.
ZeroLu's awesome-happy-horse repository has garnered interest with a growth score of 4.95 and 67 stars, featuring community-curated prompts, news, benchmarks, prompts, and sample outputs for the Happy Horse model. Its growing popularity can be attributed to its focus on providing resources for the Happy Horse AI model.
TaewoooPark's NODEPROMPT repository has seen moderate growth with a score of 4.46 and 37 stars, offering spatial prompt engineering through interactive 3D concept graphs. Its popularity stems from providing an innovative approach to prompt engineering using visual representations.
Josh-blythe's bordair-multimodal repository has gained attention with a growth score of 4.15 and 43 stars, featuring an open-source cross-modal and multimodal prompt injection test suite with 50,500+ attack payloads across text, image, document, and audio modalities. Its growing popularity can be attributed to its comprehensive approach to testing prompt injections.
OuterSpacee's claude-emotion-prompting repository has seen slow growth with a score of 1.59 and 62 stars, offering a research-backed prompting toolkit for Claude grounded in Anthropic's 2026 emotion vectors paper. Its popularity stems from providing a scientifically backed approach to emotional prompting.
JonusNattapong's ClaudeCode-Learning repository has gained minimal attention with a growth score of 1.05 and 28 stars, focusing on ClaudeCode learning for prompt engineering.