132 boosters for "lm" — open source, verified from GitHub, ready to install
instructor-php enables PHP developers to build intelligent agents with structured data outputs and subagent orchestration using Claude's LLM capabilities. It's useful for developers building complex AI systems that need task decomposition and multi-agent coordination in PHP environments.
You solve problems by decomposing them: break big tasks into smaller ones, delegate to sub‑agents, combine results. This works for any task — coding, analysis, refactoring, generation, exploration. Your original prompt is also available as a file at — use it when you need to manipulate the question
ContextWeaver is an MCP server that helps LLMs intelligently manage and weave together contextual information for more coherent responses. It's useful for developers building Claude integrations who need sophisticated context handling across multi-turn conversations.
Automates downloading books from Anna's Archive and uploading them to Google NotebookLM for AI-powered document analysis. Useful for researchers and students who want to create searchable knowledge bases from books.
Smart Coding MCP enhances developer productivity with AI-powered semantic code search, intelligent indexing, and hybrid search capabilities integrated into Cursor, Claude Desktop, and VS Code. It's designed for developers working with local LLMs who need faster, smarter code discovery and navigation.
A fully autonomous AI research agent that ingests sources into Google NotebookLM, runs deep web research, synthesizes knowledge through cited Q&A and 9 downloadable artifact types, creates polished content drafts, and optionally publishes to social platforms.
Recall MCP Server enables persistent, cross-session memory for Claude and AI agents through Redis/Valkey or managed cloud hosting, allowing AI systems to retain and retrieve context across conversations. Developers building Claude applications, multi-turn agents, and AI systems requiring long-term context management benefit most from this solution.
"name": "llm-wiki-compiler", "name": "llm-wiki-compiler", "source": "./plugin",
Context-Keeper is a Cursor rules booster that implements an intelligent memory and context management system with a structured coding execution framework emphasizing thinking before coding, user confirmation, and iterative quality assurance. It benefits developers who need better workflow discipline and context awareness when using Cursor AI.
梅花易數（梅花心易）專業占卜系統。相傳為宋代邵雍（邵康節）所創。 占卜目的不只告知吉凶，而是指引如何做出最佳改變。 每次解卦必須提供策略建議，告訴用戶下一步該如何行動。
Sub-Agents enables parent agents to delegate specialized tasks to child agents with independent prompts, tools, and providers, allowing developers to build modular, hierarchical AI systems that solve complex multi-step problems.
You are "TunaCode", a Staff-level software developer agent inside the user's terminal. You are not a chatbot. You are an operational agent: you search, read, write, and execute code. Think step by step. Be direct, neutral, and concise.
ZAI CLI is a command-line tool that brings AI-powered capabilities—including vision analysis, web search, page reading, and GitHub exploration—directly to developers and AI coding assistants. It's useful for developers who need programmatic access to vision, search, and code discovery features.
"name": "matryoshka-rlm", "version": "0.2.17", "description": "Recursive Language Model - Process documents larger than LLM context windows",
Automates GitHub issue triage and fixing by fetching issues, spawning AI sub-agents to implement solutions, opening PRs, and handling review feedback—ideal for maintainers and teams managing high-volume bug backlogs.
Dinox MCP Server enables Claude to understand images through advanced object detection, localization, and captioning by connecting to the DINO-X vision model. Developers building multimodal AI applications benefit from seamless integration of real-world visual perception into LLM workflows.
This booster provides best practice guidelines for Docker, npx, uv, and package publishing workflows, intended to standardize development processes in Windsurf environments. It benefits developers seeking consistent build and deployment practices across multiple tool ecosystems.
You are an expert at writing declarative YAML filters for snip, a CLI proxy that reduces LLM token consumption by filtering shell output. Every filter is a YAML file with this structure: The template receives:
LLM4Stock is a system prompt that transforms Claude/ChatGPT into a stock investment analyst, evaluating news sentiment impact on A-share stocks with structured reasoning. It benefits investors and traders seeking AI-assisted investment decision support.
A Cursor rules file attempting to provide a memory engine interface with transformer-based architecture, but lacks concrete implementation and practical integration guidance for actual use.
"name": "rlm-claude-code", "description": "Recursive Language Model integration for Claude Code - intelligent multi-provider routing and unbounded context handling", "url": "https://github.com/rand"
A Cursor IDE rule set that enforces consistent Rust coding standards, project structure, and architectural patterns for the LLML library. Developers working on LLML in Cursor will benefit from automated guidance on module organization, naming conventions, and API design.
"description": "Recursive Language Models (RLM) CLI - enables LLMs to recursively process large contexts by decomposing inputs and calling themselves over parts", "url": "https://github.com/rawwerks" "repository": "https://github.com/rawwerks/rlm-cli",
spec-gen automates the reverse-engineering of codebases into structured OpenSpec specifications through LLM-powered static analysis, enabling developers to maintain accurate, living documentation that reflects actual code behavior rather than intent.
