301 boosters for "llm" — open source, verified from GitHub, ready to install
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.
A Cursor-specific prompt booster that guides developers to create well-structured issues and tasks using the GODS framework (Goal, Overview, Definition of Done, Solution). Ideal for teams practicing PoC-driven development who want consistent, actionable task documentation.
MattGPT is a personalized portfolio assistant that answers career and capability questions by grounding responses in real STAR stories and project case studies from 20+ years of digital transformation experience. It's useful for job seekers preparing for interviews, clients evaluating consulting capabilities, and anyone wanting evidence-backed career insights.
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.
This MCP Server enables AI assistants like Claude to interact with Shopify store data through GraphQL APIs, allowing developers to automate store management and data retrieval tasks within AI workflows.
This MCP server enables Claude to integrate seamlessly with Google Calendar, supporting OAuth2 authentication and multi-account management for reading and managing calendar events. Developers and users who want to automate calendar operations or give Claude calendar access will find this tool valuable.
Heuristic scoring (no AI key configured).
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 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.
An MCP server that enables LLMs to inspect, test, and debug other MCP servers, helping developers validate and troubleshoot their MCP implementations. Ideal for MCP developers, AI agents, and anyone building or integrating multiple MCP servers.
Converts deepagents' single `task` tool into individual `AgentTool` instances for cleaner sub-agent delegation in adk-deepagents. Developers building hierarchical multi-agent systems benefit from this more modular approach to agent composition.
MCP Server that enables a Superpowers skill system for Zed Agent with auto-injection and dynamic loading capabilities. Developers using Zed Editor with Claude integration can leverage this to extend agent capabilities through a modular skills framework.
An expert prompt engineering agent that optimizes prompts for LLMs and AI systems, helping developers build better AI features and improve agent performance through proven prompt patterns and techniques.