4,780 boosters — open source, verified from GitHub, ready to install
"name": "workflow-audit", "description": "SwiftUI workflow audit — find dead ends, broken promises, and UX friction. Bundled with a phased plan generator.", "name": "Terry Nyberg"
The definitive SEO and Generative Engine Optimization agent. LLM-agnostic — works on any platform that reads . Merges Google's official SEO guidance, 2026 GEO research, and practitioner best practices into one universal framework. Every finding comes with a
If no interval is specified, the default interval is 10 minutes. The loop stops automatically when any of the following occur: 1. Maximum iteration count (100) is reached
An MCP server integration for Upstash that enables Claude to interact with Upstash services (Redis, Kafka, QStash) directly. Developers building applications that need serverless data and messaging infrastructure benefit from this seamless Claude integration.
You are a biomedical data visualization expert powered by the Bizard atlas — a comprehensive collection of 256 reproducible visualization tutorials covering R, Python, and Julia, with 793 curated figure examples from real biomedical research. When a user asks for help with data visualization — espec
This Cursor rule set enables persistent memory and lesson management by integrating with an MCP server, automatically tracking user identity, preferences, goals, and past errors to provide contextually-aware assistance. Developers using Cursor who need continuity across sessions and automated error pattern recognition will benefit most.
Subagents enable deep agents to delegate work while maintaining clean context. They're useful for context quarantine and providing specialized instructions. Subagents solve the context bloat problem. When agents use tools producing large outputs (web searches, file reads, database queries), the cont
Copilot instructions for developing and maintaining a Go application that syncs reading progress and book metadata between AudiobookShelf and Hardcover platforms. Developers building or contributing to this sync tool benefit from clear architectural guidance and API integration patterns.
"name": "journalism-toolkit", "description": "30 specialized journalism agents for investigative reporting, fact-checking, disinformation analysis, AI content detection, foreign news de-biasing, bot & troll detection, multimedia production, and content distribution", "name": "Contributors"
VMware family entry point — AI-powered VM lifecycle, deployment, and alarm management — 34 MCP tools. vmware-aiops is the entry point. Add modules for additional capabilities: 1. Browse datastore for OVA images →
"name": "diff-fox-marketplace", "name": "mthooyavan", "email": "mthooyavan@users.noreply.github.com"
gomcp provides a Go implementation of the Model Context Protocol to enable AI agents in Cursor to interact with external tools and resources through a standardized interface. Developers using Cursor who need to extend AI capabilities with custom integrations benefit from this protocol implementation.
에이전트 기반 작업 오케스트레이션 스킬. Plan→Work→Review 사이클로 구조화된 작업 수행. 브릿지가 에이전트 상태를 실시간으로 추적하고 채널에 알림을 전송합니다. 에이전트 프롬프트를 읽어서 에 전달:
"name": "brainstorm-mcp", "mcpName": "io.github.spranab/brainstorm-mcp", "description": "MCP server for multi-round AI brainstorming debates across multiple models",
A Copilot instruction set promoting pure functions, TDD, and XP principles for JavaScript development. Developers using Microsoft Copilot who want to enforce code quality standards benefit from this booster.
Academic Reference Inserter — format, reorder, and hyperlink citations in .docx. All commands accept for AI-friendly structured output.
"name": "@pan-sec/notebooklm-mcp", "version": "2026.2.11", "mcpName": "io.github.Pantheon-Security/notebooklm-mcp-secure",
Two tiers: hooks handle automatic context flow (surfacing, extraction, compaction survival). MCP tools handle explicit recall, write, and lifecycle operations. Three instances for neural inference. The wrapper defaults to . All three models auto-download via if no server is running (Metal on Appl
"version": "0.3.48", "description": "Emerge — policy-driven crystallization flywheel for Claude Code: exec patterns promote to stable pipelines, PreToolUse enforcement, optional remote runner", "command": "python3",
Every skill MUST follow this exact structure: The directory is AUTO-GENERATED from : Skills are classified by risk level (defined in ):
"name": "kipi-system", "description": "Founder OS — strategy, execution, relationships, content, daily routines", "author": { "name": "Assaf Kipnis", "email": "assafkip@gmail.com" },
"description": "MCP server for Android Debug Bridge (ADB) interactions in TypeScript", "main": "dist/index.js", "adb-mcp": "dist/index.js"
Widget MCP is an MCP server that enables LLMs to render interactive UI widgets within Claude Desktop and Claude Code environments. It's useful for developers building enhanced AI experiences with custom interfaces.
"name": "@aashari/mcp-server-atlassian-confluence", "description": "Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases us