Today's Prompt Engineering: Fastest-Growing Projects — August 09, 2026
Today's the Prompt Engineering space, there's a noticeable trend towards interactive and educational approaches to learning how to craft effective prompts for AI models. Developers are also exploring innovative ways to leverage AI for practical tasks such as website design and software testing. One repository stands out with its focus on collecting leaked language model prompts, while others offer creative solutions like browser games and downloadable scripts.
The leaked-llm-prompts repository by Eversmile12 is a collection of leaked prompts designed for various large language models (LLMs). With 34.44 growth score and 343 stars, it suggests that developers are keen on understanding the inner workings of these models through their training data.
Promptasy, created by romanticamaj, turns learning prompt engineering into a game where users explore challenges and write prompts to advance in the game world. The repository has seen significant activity with 70 commits over the past month, contributing to its growth score of 22.85 and attracting 22 stars.
Reflection-engine, developed by kropdx, is a downloadable prompt that transforms an AI assistant's memory into a candid portrait grounded in evidence. With 223 stars and a growth score of 22.83, it highlights the interest in creating more personalized and introspective interactions with AI assistants.
The repository andrej-karpathy-skills by 0xwilliamortiz compiles behavioral guardrails for Claude Code based on insights from Andrej Karpathy's field notes about common pitfalls when LLMs write software. Its growth score of 22.79 and 557 stars indicate a strong interest in improving the reliability and safety of AI-driven coding practices.
Websiteprompts, maintained by openwarehq, provides 30 free copy-paste prompts to enhance Claude Code, Cursor, or v0 into cinematic websites with exact colors, easing, z-index, and background videos. With a growth score of 10.93 and 75 stars, it reflects the demand for high-quality AI-driven web design solutions.
Mise-en-claude, created by emadd, is a paste-in prompt designed to set up or rescue project engineering foundations such as git structure, CLAUDE.md files, programmatic access, and workflow. Its growth score of 8.78 and 51 stars suggest that developers are increasingly looking for robust initial setups for AI projects.
Tokenfold, developed by snchimata, offers local, provider-neutral compression for LLM prompts, tool schemas, JSON, logs, and diffs without the need for machine learning. With a growth score of 8.60 and 33 stars, it addresses the growing concern over prompt size limitations in AI models.
Prompt-architect, created by lololerigolo60, is a Python desktop app that uses local Ollama LLMs to analyze raw texts and images, extracting visual descriptions into optimized JSON prompts for generative AI. Its growth score of 7.57 and 44 stars indicate the interest in leveraging AI for more structured and efficient prompt creation.
Test-scenario-prompts, maintained by sobhanrajabi31, provides a collection of AI prompts aimed at generating comprehensive manual test scenarios covering features, edge cases, security, validation, and expected behavior. With a growth score of 6.89 and 22 stars, it highlights the growing need for robust testing methodologies in software development.
Motionsites-prompt-collection, created by nomaan5541, includes 470 AI web design prompts designed to generate stunning landing pages quickly with Bolt.new, v0, GPT-Engineer. Its growth score of 6.00 and 81 stars reflect the ongoing interest in leveraging AI for efficient and creative website designs.
Each repository showcases unique approaches to prompt engineering, catering to various needs from educational tools to practical applications, indicating a vibrant and diverse ecosystem within this domain.
The leaked-llm-prompts repository by Eversmile12 is a collection of leaked prompts designed for various large language models (LLMs). With 34.44 growth score and 343 stars, it suggests that developers are keen on understanding the inner workings of these models through their training data.
Promptasy, created by romanticamaj, turns learning prompt engineering into a game where users explore challenges and write prompts to advance in the game world. The repository has seen significant activity with 70 commits over the past month, contributing to its growth score of 22.85 and attracting 22 stars.
Reflection-engine, developed by kropdx, is a downloadable prompt that transforms an AI assistant's memory into a candid portrait grounded in evidence. With 223 stars and a growth score of 22.83, it highlights the interest in creating more personalized and introspective interactions with AI assistants.
The repository andrej-karpathy-skills by 0xwilliamortiz compiles behavioral guardrails for Claude Code based on insights from Andrej Karpathy's field notes about common pitfalls when LLMs write software. Its growth score of 22.79 and 557 stars indicate a strong interest in improving the reliability and safety of AI-driven coding practices.
Websiteprompts, maintained by openwarehq, provides 30 free copy-paste prompts to enhance Claude Code, Cursor, or v0 into cinematic websites with exact colors, easing, z-index, and background videos. With a growth score of 10.93 and 75 stars, it reflects the demand for high-quality AI-driven web design solutions.
Mise-en-claude, created by emadd, is a paste-in prompt designed to set up or rescue project engineering foundations such as git structure, CLAUDE.md files, programmatic access, and workflow. Its growth score of 8.78 and 51 stars suggest that developers are increasingly looking for robust initial setups for AI projects.
Tokenfold, developed by snchimata, offers local, provider-neutral compression for LLM prompts, tool schemas, JSON, logs, and diffs without the need for machine learning. With a growth score of 8.60 and 33 stars, it addresses the growing concern over prompt size limitations in AI models.
Prompt-architect, created by lololerigolo60, is a Python desktop app that uses local Ollama LLMs to analyze raw texts and images, extracting visual descriptions into optimized JSON prompts for generative AI. Its growth score of 7.57 and 44 stars indicate the interest in leveraging AI for more structured and efficient prompt creation.
Test-scenario-prompts, maintained by sobhanrajabi31, provides a collection of AI prompts aimed at generating comprehensive manual test scenarios covering features, edge cases, security, validation, and expected behavior. With a growth score of 6.89 and 22 stars, it highlights the growing need for robust testing methodologies in software development.
Motionsites-prompt-collection, created by nomaan5541, includes 470 AI web design prompts designed to generate stunning landing pages quickly with Bolt.new, v0, GPT-Engineer. Its growth score of 6.00 and 81 stars reflect the ongoing interest in leveraging AI for efficient and creative website designs.
Each repository showcases unique approaches to prompt engineering, catering to various needs from educational tools to practical applications, indicating a vibrant and diverse ecosystem within this domain.