36 boosters for "llms" — AI-graded, open source, ready to install
gllm is a system prompt that transforms LLMs into code-first orchestrators for efficient task processing, enabling developers to handle large files and complex workflows through programmatic verification rather than context-heavy text generation.
An MCP server that integrates llmstxt documentation fetching into Claude Desktop and Claude Code, enabling developers to access and reference documentation within their AI-assisted workflows.
This system prompt enables smaller LLMs (8B-20B parameters) to control Windows 11 desktops through the Model Context Protocol, automating desktop tasks via natural language. It's valuable for developers building AI agents, automation workflows, and users seeking lightweight local alternatives to cloud-based desktop controllers.
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.
A specialized agent that systematically crafts, tests, and optimizes prompts for LLMs through multiple cognitive modes (generative, critical, evaluative, informative) and performance measurement. Ideal for AI engineers, prompt researchers, and developers seeking to maximize LLM output quality.
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.
Crafts and optimizes prompts for LLMs and AI systems with systematic optimization, performance measurement, and iterative refinement for maximum effectiveness
Clara – A privacy-first, client-side AI assistant WebUI for LLMs. No backend, no data leaks. Keep your conversations completely yours, If you like it, Don't Forget to Give a Star 🌟
MetehanGZL Pokemcp provides developers with detailed Pokémon data and information through a standardized MCP interface, enabling AI assistants to access comprehensive game information for building Pokémon-related applications and features.
A system prompt that enables LLMs to trigger local development tasks (git, shell commands) via webhooks. Intended for developers using Claude, Cursor, or similar AI coding tools who want voice-triggered automation.
Heuristic scoring (no AI key configured).
This MCP server enables AI assistants to read, search, and interact with any MediaWiki wiki (Wikipedia, internal wikis, etc.), allowing LLMs to access and leverage wiki content programmatically. Developers and organizations using MediaWiki instances benefit from seamless AI integration for knowledge retrieval and automation.
