63 boosters for "agent-" — open source, verified from GitHub, ready to install
"name": "agent-recorder", "description": "Local-first flight recorder for Claude Code - captures MCP tool calls, subagents, and skills without recording prompts or chain-of-thought", "name": "Edyta Kucharska"
"name": "alphaagent-team", "email": "support@answeragent.ai" "description": "AlphaAgent Team Plugin Marketplace - Claude Code plugins for autonomous coding assistance",
A specialized agent that generates complete, production-ready Claude Code sub-agent configuration files from user descriptions while adhering to project conventions and best practices. Developers building multi-agent systems benefit from automated, consistent sub-agent scaffolding.
"name": "developer-overheid-nl-agent-skills", "description": "Dutch Government Developer Knowledge Base (developer.overheid.nl/kennisbank) - guidelines and standards for government software development"
"name": "agent-pragma", "owner": { "name": "Peter Wilson" }, "description": "Pragma directives for AI coding agents — deterministic linting, semantic LLM validators, and multi-LLM advisory council for Go, Python, and TypeScript"
"name": "risingwave-agent-skills", "owner": { "name": "RisingWave Labs" }, "description": "Official RisingWave agent skills for AI coding assistants",
A Cursor IDE rules configuration providing comprehensive development standards and best practices for LLM application development, including project structure guidelines, coding principles, and documentation conventions.
Loom Plan converts user ideas into structured tickets and implementation plans by leveraging memory recall to avoid reinventing solutions. It's useful for developers and teams who want to turn vague requests into actionable, sequenced work items.
An MCP server that enables Claude to automate browser interactions using Playwright, allowing AI agents to browse websites, fill forms, and interact with web applications programmatically.
This booster helps developers design and implement the Moltrouter Protocol (MRP), a system for agent-to-agent discovery, capability negotiation, and routing. It's useful for teams building multi-agent systems that need standardized communication and service discovery.
A specialized Copilot prompt that configures an AI agent as an expert assistant for building and deploying ASP.NET Core web APIs and Blazor WebAssembly apps to Google Cloud, with integrated validation and iterative problem-solving capabilities.
MoltBookDownDetector is an uptime monitoring tool that probes Moltbook endpoints to report reachability, latency, and failures—useful for agents and developers who need real-time status visibility. It solves the practical problem of detecting service degradation across regions and operation types.
"id": "ai.agentdm/agentdm", "description": "Agent-to-agent messaging platform using MCP for cross-model communication."
Heuristic scoring (no AI key configured).
An intelligent agent selection engine that evaluates and recommends the best AI agents for each phase of a development pipeline, enabling teams to optimize task assignment with confidence scoring and human oversight. Benefits development teams managing multi-agent workflows who need data-driven agent selection and performance tracking.
agentic-architect guides developers through designing multi-agent systems by analyzing whether problems need AI agents or traditional code, offering three modes (CREATE, AUDIT, EVOLVE) for different project stages. It benefits architects, senior engineers, and teams building AI-powered applications.
An MCP server that enables intelligent meeting scheduling through agent-first polling, allowing humans and AI agents to collaboratively find optimal meeting times. Developers building multi-agent systems and scheduling applications benefit from this integration.
A knowledge curation agent that researches, validates, and determines optimal storage methods (URL reference, local excerpt, or embedding) for information sources using parallel web scraping. Ideal for AI engineers building knowledge-intensive agent systems who need intelligent source evaluation and integration.
