Crew FAQs

Question 1

Can I define custom AI skills using Crew?

Accepted Answer

Yes, Crew supports defining custom AI skills using Markdown and YAML, with a flexible 4-layer discovery mechanism that prioritizes project-specific skills over global and built-in ones.

Question 2

What advanced features does Crew offer for AI workflows?

Accepted Answer

Crew offers sequential skill pipelines to automate complex multi-step tasks and multi-employee discussions, facilitating structured, collaborative AI-driven problem-solving and decision-making.

Question 3

What is Crew?

Accepted Answer

Crew is an AI skill loader that enables developers to define professional AI skills using Markdown and YAML, then seamlessly load and integrate them into AI IDEs.

Question 4

How does Crew integrate with AI IDEs?

Accepted Answer

Crew integrates via the Model Context Protocol (MCP), exposing skills as prompts, resources, and tools. This allows AI IDEs like Claude Code and Cursor to directly discover and invoke these capabilities.

Question 5

What are 'digital employees' in Crew?

Accepted Answer

Digital employees are built-in, pre-defined professional AI skills (e.g., Code Reviewer, Test Engineer, Product Manager) designed with specialized workflows to assist with common development tasks.

Crew

Crew

Key Features

Use Cases

Key Features

Use Cases