Multi Agent AI Agent Skills
Browse AI agent skills tagged "Multi Agent". Find and install skills, MCP servers, and plugins for your AI coding assistant.
7 listings
Claude Concilium
Multi-agent AI consultation framework for Claude Code via MCP. Get a second (and third) opinion from other LLMs when Claude Code alone isn't enough. Claude Code is powerful, but one brain can miss bugs, overlook edge cases, or get stuck in a local optimum. Critical decisions benefit from diverse perspectives. Concilium runs parallel consultations with multiple LLMs through standard MCP protocol. E
AutoGen
Microsoft's multi-agent conversation framework. Agents talk to each other in turns, human-in-the-loop optional. AutoGen Studio ships a visual builder on top. Widely used in research and enterprise pilots.
AssemblyZero
Multi-agent orchestration platform for enterprise AI development. Run 12+ AI agents concurrently with full governance, Gemini-powered code review, and enforced quality gates. Solves coordination, verification, and metrics challenges that stall enterprise AI adoption.
Ateam MCP
Give any AI the ability to build, validate, and deploy production multi-agent systems. This is an MCP server that connects AI assistants — ChatGPT, Claude, Gemini, Copilot, Cursor, Windsurf, and any MCP-compatible environment — directly to the ADAS platform. An AI developer says "Build me a customer support system with order tracking and escalation" — and their AI assistant handles the entire life
CrewAI
Role-playing multi-agent framework in Python. Define agents with roles, goals, and tools; assemble them into crews that collaborate on tasks. Widely adopted as the default "let me try multi-agent" starting point.
aiagentflow
A local-first CLI that orchestrates multi-agent AI workflows for software development. Give it a task — or feed it your specs, PRDs, and guidelines — and it coordinates specialized agents to architect, code, review, test, and ship automatically. No cloud dependency. Bring your own API keys. Your code stays on your machine. Each stage uses a specialized AI agent with tuned prompts and parameters. T
Multi-agent Optimize
Coordinate multiple sub-agents to profile and optimize a codebase. Runs performance-engineer, then architect, then refactorer in sequence.