Today's Prompt Engineering: Fastest-Growing Projects — August 10, 2026
Today's trend in the Prompt Engineering space revolves around innovative approaches to both teaching and applying prompt engineering techniques across various domains, including software development, filmmaking, and even game design. The tools highlighted this week showcase a diverse range of functionalities that cater to different user needs, from educational resources to practical applications for managing AI projects.
The "leaked-llm-prompts" repository by Eversmile12 collects leaked prompts used in large language models (LLMs), offering insights into how these systems are designed and operated. With a growth score of 32.41 and 343 stars, it's clear that developers are interested in understanding the inner workings of LLMs through real-world examples.
"andrej-karpathy-skills" by 0xwilliamortiz is inspired by Andrej Karpathy’s field notes on common pitfalls when using large language models (LLMs) for software development. This repository aims to provide behavioral guardrails and best practices, which explains its strong growth score of 21.68 and a substantial 558 stars.
"promptasy," created by romanticamaj, transforms the learning process into an interactive game where users can explore various challenges and learn prompt engineering techniques from major AI companies like OpenAI, Anthropic, Google, and xAI. With a growth score of 20.77 and 22 stars, it suggests that there's increasing interest in gamified approaches to mastering complex technical skills.
"kropdx/reflection-engine" offers a downloadable prompt designed to help users reflect on their interactions with AI assistants, creating candid portraits grounded in evidence. This tool has garnered 19.71 growth points and 225 stars, indicating its value as an introspective aid for those engaging deeply with AI technologies.
"wassermanproductions/slate" is a prompt studio for AI filmmaking that enables users to plan shots, direct coverage, manage continuity, and generate production-ready prompts without requiring API keys. Its growth score of 15.17 alongside 53 stars highlights its utility in the creative tech community for those looking to streamline their video production processes.
"mise-en-claude," developed by emadd, provides a project setup prompt that includes git integration, documentation standards like CLAUDE.md, and workflow suggestions designed to ensure consent-first practices. With a growth score of 8.46 and 51 stars, it stands out for its comprehensive approach to initializing new projects with robust foundations.
"tokenfold," created by snchimata, is a local compression tool that efficiently handles LLM prompts, schemas, JSON data, logs, and diffs without any loss or ML overhead. Its growth score of 8.28 and 33 stars reflect its importance in managing large datasets and optimizing storage requirements for AI projects.
"Prompt-architect," developed by lololerigolo60, is a desktop application that uses local Ollama LLMs to analyze raw texts and images and generate optimized JSON prompts for generative AI. Its growth score of 7.09 and 44 stars suggest its appeal among developers who seek sophisticated tools for prompt generation and management.
"sobhanrajabi31/test-scenario-prompts" offers a collection of AI-generated test scenarios designed to cover various aspects of software testing, including features, edge cases, security, validation, and expected behavior. With a growth score of 6.25 and 23 stars, it demonstrates the growing interest in leveraging AI for more comprehensive and automated testing processes.
Finally, "motionsites-prompt-collection" by nomaan5541 includes over 470 prompts designed to generate stunning landing pages quickly, compatible with platforms like Bolt.new and GPT-Engineer. Its growth score of 5.86 and 85 stars indicate its usefulness in the web design community for rapid prototyping and creative exploration.
These tools collectively underscore the expanding role of prompt engineering across various sectors, from gaming to filmmaking and software development, with each offering unique approaches to enhancing AI capabilities through tailored prompts.
The "leaked-llm-prompts" repository by Eversmile12 collects leaked prompts used in large language models (LLMs), offering insights into how these systems are designed and operated. With a growth score of 32.41 and 343 stars, it's clear that developers are interested in understanding the inner workings of LLMs through real-world examples.
"andrej-karpathy-skills" by 0xwilliamortiz is inspired by Andrej Karpathy’s field notes on common pitfalls when using large language models (LLMs) for software development. This repository aims to provide behavioral guardrails and best practices, which explains its strong growth score of 21.68 and a substantial 558 stars.
"promptasy," created by romanticamaj, transforms the learning process into an interactive game where users can explore various challenges and learn prompt engineering techniques from major AI companies like OpenAI, Anthropic, Google, and xAI. With a growth score of 20.77 and 22 stars, it suggests that there's increasing interest in gamified approaches to mastering complex technical skills.
"kropdx/reflection-engine" offers a downloadable prompt designed to help users reflect on their interactions with AI assistants, creating candid portraits grounded in evidence. This tool has garnered 19.71 growth points and 225 stars, indicating its value as an introspective aid for those engaging deeply with AI technologies.
"wassermanproductions/slate" is a prompt studio for AI filmmaking that enables users to plan shots, direct coverage, manage continuity, and generate production-ready prompts without requiring API keys. Its growth score of 15.17 alongside 53 stars highlights its utility in the creative tech community for those looking to streamline their video production processes.
"mise-en-claude," developed by emadd, provides a project setup prompt that includes git integration, documentation standards like CLAUDE.md, and workflow suggestions designed to ensure consent-first practices. With a growth score of 8.46 and 51 stars, it stands out for its comprehensive approach to initializing new projects with robust foundations.
"tokenfold," created by snchimata, is a local compression tool that efficiently handles LLM prompts, schemas, JSON data, logs, and diffs without any loss or ML overhead. Its growth score of 8.28 and 33 stars reflect its importance in managing large datasets and optimizing storage requirements for AI projects.
"Prompt-architect," developed by lololerigolo60, is a desktop application that uses local Ollama LLMs to analyze raw texts and images and generate optimized JSON prompts for generative AI. Its growth score of 7.09 and 44 stars suggest its appeal among developers who seek sophisticated tools for prompt generation and management.
"sobhanrajabi31/test-scenario-prompts" offers a collection of AI-generated test scenarios designed to cover various aspects of software testing, including features, edge cases, security, validation, and expected behavior. With a growth score of 6.25 and 23 stars, it demonstrates the growing interest in leveraging AI for more comprehensive and automated testing processes.
Finally, "motionsites-prompt-collection" by nomaan5541 includes over 470 prompts designed to generate stunning landing pages quickly, compatible with platforms like Bolt.new and GPT-Engineer. Its growth score of 5.86 and 85 stars indicate its usefulness in the web design community for rapid prototyping and creative exploration.
These tools collectively underscore the expanding role of prompt engineering across various sectors, from gaming to filmmaking and software development, with each offering unique approaches to enhancing AI capabilities through tailored prompts.