393 boosters for "LLM" — open source, verified from GitHub, ready to install
Markitai is an opinionated Markdown converter with native LLM enhancement support, designed to help developers using GitHub Copilot maintain consistent code standards and project guidelines. It's ideal for teams managing Python projects with strict type annotations, code style, and testing requirements.
A safe, high-signal web browsing MCP server that enables Claude to fetch and extract content from web pages using Playwright, ideal for LLM agents needing reliable real-time information. Developers building Claude integrations that require web access will find this particularly valuable.
A specialized agent that systematically crafts and optimizes prompts for LLMs and AI systems through iterative refinement and performance measurement. Ideal for AI engineers, prompt designers, and developers who need to maximize LLM effectiveness across applications.
This MCP server integrates an LLM Search Engine into Claude and Cursor, enabling developers to perform web searches directly within their AI workflows. It's useful for developers who need real-time information retrieval capabilities in their AI-assisted coding and analysis tasks.
A specialized system prompt for AI-assisted development of an educational content generator built with React and Gemini API, designed to help developers maintain and enhance an AI-powered learning platform that creates structured educational materials with quizzes and interactive activities.
Clara is a privacy-focused, client-side WebUI for interacting with LLMs without any backend infrastructure or data leaks. Developers and privacy-conscious users who want complete control over their AI conversations benefit from this tool.
A multi-LLM system prompt for coordinating development across Claude, ChatGPT, Cursor, and Windsurf with architecture guidelines and agent synchronization protocols. Primarily benefits teams using multiple AI assistants in coordinated workflows.
PRISM is a prompt IDE that helps engineers design, test, and iterate on LLM prompts and agents through visual templates and dataset-driven feedback. It benefits prompt engineers, product teams, and developers building AI-powered applications who need structured prompt management and testing workflows.
A system prompt that enables LLMs to classify Hacker News content into mutually exclusive LLM and software development categories using context-aware analysis. Useful for content curators, researchers, and developers building topic-classification systems.