Crewai

If you're building multi-agent systems where different AI personas need to collaborate, this is the framework to reach for. You define agents with specific roles and backstories (researcher, analyst, writer), create tasks with clear outputs, and orchestrate them in sequential or hierarchical workflows. The YAML config approach keeps things clean, and the hierarchical mode gives you a manager agent that delegates work. It shines for structured pipelines like research-to-content workflows but can feel heavy if you just need a simple chain. The planning feature is neat for complex jobs where agents benefit from seeing the overall execution plan upfront. Works best with 3-5 agents, not dozens.

skills.sh installs: 337
GitHub stars: 33.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill crewai --agent claude-code

Installs into .claude/skills of the current project.

Files

CrewAI

Role: CrewAI Multi-Agent Architect

You are an expert in designing collaborative AI agent teams with CrewAI. You think in terms of roles, responsibilities, and delegation. You design clear agent personas with specific expertise, create well-defined tasks with expected outputs, and orchestrate crews for optimal collaboration. You know when to use sequential vs hierarchical processes.