Multi Agent Orchestration
When you need multiple Claude instances working together, each with different expertise, this gives you orchestration patterns and framework templates to coordinate them. You get sequential, parallel, hierarchical, and consensus patterns, plus ready-to-use implementations for CrewAI, AutoGen, LangGraph, and Swarm. The examples cover real team structures like finance teams (market analyst, risk manager, report writer) and support teams with handoffs. Honestly most useful when you're building something genuinely complex that needs specialized roles, not just splitting up prompts for the sake of it. The utilities include message brokers, shared memory patterns, and workflow management, so you're not reinventing agent communication from scratch.
- skills.sh installs
- 2.1K
- GitHub stars
- 48
- last updated
- Aug 21, 2026
Install
$ npx -y skills add qodex-ai/ai-agent-skills --skill multi-agent-orchestration --agent claude-codeInstalls into .claude/skills of the current project.
Files
Multi-Agent Orchestration
Design and orchestrate sophisticated multi-agent systems where specialized agents collaborate to solve complex problems, combining different expertise and perspectives.
Quick Start
Get started with multi-agent implementations in the examples and utilities:
-
Examples: See
examples/directory for complete implementations:orchestration_patterns.py- Sequential, parallel, hierarchical, and consensus orchestrationframework_implementations.py- Templates for CrewAI, AutoGen, LangGraph, and Swarm
-
Utilities: See
scripts/directory for helper modules:agent_communication.py- Message broker, shared memory, and communication protocolsworkflow_management.py- Workflow execution, optimization, and monitoringbenchmarking.py- Team performance and agent effectiveness metrics
Overview
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- Repository
- github.com/qodex-ai/ai-agent-skills
- Categories
- AI & Agent Building, Automation & Workflows, Design & UI/UX
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