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crewai

Defines agents, tasks, and collaborative workflows for multi-agent AI systems.

3|1|Updated Feb 2, 2026
Search Tags:#automation#llm#ai agents#multi-agent#orchestration#crewai
One-click install
npx skills add https://github.com/HouseGarofalo/claude-code-base --skill crewai-housegarofalo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: crewai
Source: https://github.com/HouseGarofalo/claude-code-base/tree/main/.claude/skills/crewai
Command: npx skills add https://github.com/HouseGarofalo/claude-code-base --skill crewai-housegarofalo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the creation and management of complex multi-agent AI systems, enabling autonomous agents to collaborate on tasks.

Core Features & Use Cases

  • Agent Creation: Define autonomous agents with specific roles, goals, and backstories.
  • Task Orchestration: Design sequential or hierarchical workflows for agents to execute.
  • Tool Integration: Equip agents with custom or built-in tools for enhanced capabilities.
  • Use Case: Develop a research team of AI agents where one agent gathers information, another analyzes it, and a third writes a report, all coordinated through CrewAI.

Quick Start

Use the crewai skill to create a researcher agent and a writer agent to research AI trends and write a blog post.

Frequently Asked Questions about crewai

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build multi-agent AI systems for complex task automation?▼

To build multi-agent AI systems, you define autonomous agents with specific roles, goals, and backstories, then design sequential or hierarchical workflows for them to execute tasks collaboratively.

Can I use local LLMs with Ollama for multi-agent orchestration?▼

Yes, multi-agent orchestration supports LLM configuration for various providers, including OpenAI, Anthropic, and local Ollama instances, allowing flexible model integration for your autonomous agents.

How do I orchestrate sequential and hierarchical workflows for AI agents?▼

You orchestrate sequential and hierarchical workflows by defining tasks and assigning them to specialized agents, coordinating their collaborative execution through integrated process management.

Does multi-agent orchestration support custom tool integration and memory capabilities?▼

Yes, multi-agent orchestration supports equipping agents with custom or built-in tools for enhanced capabilities, alongside integrated memory features to retain context during task execution.

What is the best way to structure a research team of AI agents to write a report?▼

The best way to structure a research team is assigning distinct roles: one agent gathers information, another analyzes it, and a third writes a report, all coordinated sequentially.

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