120 boosters for "lm" — AI-graded, open source, ready to install
mybin is a personal collection of 65+ production-ready CLI utility scripts (Python, Bash, Ruby) for AI/LLM integration, system utilities, and development tasks that Claude Code can proactively leverage. Developers with Unix-style workflows and frequent CLI automation needs benefit from instant access to tested, reusable tools.
This booster automates reconnaissance of LLM API endpoints to identify models, authentication methods, and configuration details for security testing. Red team operators and security researchers benefit from structured enumeration workflows.
Aura is a system prompt that instructs Claude to write code as an expert Lx compiler interface, enforcing LLM-friendly language rules like exhaustiveness, no loops, and explicit effects. It benefits developers learning or writing Lx code who need consistent, compiler-compatible output from Claude.
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.
An expert AI engineer agent that helps developers build production-ready LLM applications, RAG systems, and intelligent agents with deep knowledge of modern AI stacks. Ideal for teams building chatbots, AI-powered features, and enterprise AI integrations.
An MCP server that provides unified control over multiple development servers (Django, Vue, Celery, etc.) through a TUI interface, enabling LLM-assisted development workflows in Copilot. Ideal for developers managing complex local environments who want programmatic server control integrated with AI assistants.
A JavaScript-based system for dynamically creating and modifying AI agents without recompilation, enabling local LLM developers to test and share agent configurations interactively.
Envoy is an AI agent messenger that integrates multiple LLM providers (Anthropic, Google, OpenAI, OpenRouter) through the Model Context Protocol, enabling developers to build CLI-based AI agents with Vercel AI SDK. It benefits developers building agent-driven applications who need multi-model support and MCP integration.
EROS is an AI specialist agent for designing behavior-based matching algorithms, LLM integration, and recommendation systems in dating applications. It helps backend, frontend, and database engineers implement ethical, explainable AI matching features.
A system prompt template for building LLM-driven autonomous driving agents that make real-time decisions in complex urban scenarios. Developers building AI driving assistants or autonomous vehicle decision systems would benefit from this structured prompt framework.
A practical guide to writing maintainable, debuggable LLM agent code by addressing unique failure modes like non-determinism, opaque tool calls, and prompt-logic coupling. Developers building Claude-based agents will benefit from these patterns.
Mcp Tool Factory generates MCP servers from natural language, OpenAPI specs, databases, GraphQL, and ontologies, supporting 10+ LLM providers. Developers building AI agents and tool ecosystems benefit from automated server generation without manual boilerplate.
MCP server for safe, high-signal web browsing and content fetching for LLM agents
Crafts and optimizes prompts for LLMs and AI systems with systematic optimization, performance measurement, and iterative refinement for maximum effectiveness
A hierarchical multi-agent system that organizes 19 specialized AI agents into teams with intelligent LLM-based routing and dynamic tool binding for AI-assisted development tasks. Developers building complex AI-powered applications benefit from its modular architecture and industry-standard prompt integration.
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.
Cursor rules for LangGraph multi-agent legal document processing workflows, providing architecture guidelines and patterns for orchestrating specialized legal analysis agents. Beneficial for developers building legal tech systems with LLM-based document 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.
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.
This skill automates downloading books from Anna's Archive and uploading them to Google NotebookLM for AI-powered document analysis. It's useful for researchers and students who want to create knowledge bases from books without manual uploads.
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.
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.
