111 boosters for "lm" — AI-graded, open source, ready to install
A team knowledgebase framework for Windsurf that establishes standardized directory structures and rules for organizing projects, people, and questions. Teams benefit from consistent knowledge management and LLM-friendly project context.
This MCP server enables Claude and other LLMs to authenticate with AWS via SSO and securely execute AWS CLI commands using temporary credentials. It's valuable for developers and DevOps teams who want AI-assisted AWS resource management without embedding long-lived credentials.
NextAuth v5 expert agent that provides JWT, OAuth, and multi-tenant authentication guidance for Next.js applications with role-based access control. Ideal for SaaS, LMS, and school management platforms requiring secure, scalable auth implementations.
This MCP server dynamically exposes Swagger/OpenAPI endpoints as callable tools for Claude and other LLMs, enabling AI agents to seamlessly integrate with REST APIs without manual tool definition. Developers building LLM applications that need to interact with documented APIs benefit most from this adapter.
LmDotnetTools provides C# coding style rules and conventions for Windsurf, covering namespace declarations, naming conventions, formatting, and code organization to maintain consistency across .NET projects.
A comprehensive set of development guidelines and reusable agents for building AI-powered Python applications in Windsurf using Mirascope, covering patterns for LLM integration, component structure, and best practices. Developers building intelligent agents and tools in Python will benefit from these standardized patterns and pre-built components.
A system prompt that enables LLM integration into Godot games by acting as a game master, handling JSON-formatted interactions and NPC dialogue. Game developers using Godot can leverage this to add AI-driven narrative and dialogue systems to their projects.
SauLM is a Cursor rules booster that positions an AI assistant as a senior TypeScript developer to help build and maintain GenAI-integrated applications with best practices in code quality, UI design, and testing. It benefits full-stack developers working on complex projects who want AI guidance on architecture and implementation decisions.
Heuristic scoring (no AI key configured).
Driflyte MCP Server is a web-crawler integration for Claude that enables AI models to fetch and process web content through the Model Context Protocol. It's useful for developers building RAG systems, AI agents, and LLM applications that need real-time web data access.
THOR Skills is a router skill for LLMs that guides users through THOR security scanner operations—from running scans and analyzing logs to troubleshooting and writing plugins. It's valuable for security professionals, forensic analysts, and DevOps teams working with THOR malware scanning on endpoints.
TaskFlow Platform cursor rules enable multi-tenant human-agent task orchestration with support for Claude, Gemini, and other LLMs through structured prompt engineering. Developers building agent-based systems, multi-tenant applications, and complex task workflows benefit from pre-configured rules that standardize agent behavior across platforms.
A TypeScript MCP server booster for integrating the ReviewWebsite API with Windsurf, providing CLI tools, validation schemas, and structured patterns for AI-assisted development. Ideal for developers building AI-powered review applications or extending Windsurf with ReviewWebsite capabilities.
apflow is a task orchestration and execution framework providing unified specifications for multi-task workflows with optional CrewAI support, designed for developers building autonomous agents and workflow automation systems.
PocketFlow-PHP is a set of Cursor rules that guide AI agents to build modular, agentic PHP applications using a minimalist LLM framework with strict architectural constraints. Developers using Cursor for PHP projects with AI assistance benefit from clear architectural guardrails.
Oros cursor rules provide development guidelines for a decentralized AI chat application that bridges LLM capabilities with blockchain tasks through a Go proxy and React frontend. Developers building or contributing to multi-LLM dApp integrations would benefit from these structured rules.
ArmBench-LLM is a system prompt for benchmarking large language models using Armenian character-to-numeric matching tasks. It's designed for developers evaluating LLM performance across multiple coding platforms.
ArmBench-LLM is a system prompt framework for evaluating large language models on Armenian language tasks through structured multiple-choice questions. It's designed for developers and AI researchers who need standardized benchmarking tools across popular coding assistants and chat platforms.
A Cursor IDE rule set for developers building an automated posting tool for Xiaohongshu (Little Red Book), standardizing Chinese language conventions, code style, and project-specific patterns for browser automation and LLM integration.
An MCP server enabling AI assistants to manage Netskope's Zero Trust Network Access Platform directly through natural language, benefiting security teams and network administrators seeking to automate access control workflows.
Dreamfactory MCP Server enables Claude to access governed APIs across any enterprise data source through DreamFactory's self-hosted platform, benefiting enterprise developers and LLM integrators needing secure, standardized data access.
A production-grade agentic chatbot server built in Rust with multi-provider LLM support, tool calling, RAG, MCP integration, and advanced research capabilities
ElixirScope is a specialized Cursor rules configuration that enhances Elixir/BEAM debugging by providing execution analysis guidance, testing protocols, and code mapping standards. It benefits Elixir developers using Cursor who need structured debugging workflows and LLM-assisted runtime visualization.
A debate judge agent that objectively evaluates arguments using zero-sum scoring across Toulmin structure, evidence strength, and logical rigor. Ideal for researchers, educators, and developers building computational debate systems.
