agent-crewai

Scaffolds CrewAI multi-agent crews with a verified reference implementation and provider-routed LLM calls.

1|9|Updated Jul 11, 2026
One-click install
npx skills add https://github.com/agenticgogol/Edureka_Coding_Agent_Enabled_Demo_11Jul --skill agent-crewai-agenticgogol
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-crewai
Source: https://github.com/agenticgogol/Edureka_Coding_Agent_Enabled_Demo_11Jul/tree/main/.claude/skills/agent-crewai
Command: npx skills add https://github.com/agenticgogol/Edureka_Coding_Agent_Enabled_Demo_11Jul --skill agent-crewai-agenticgogol

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires crewai, and includes references (resource) components.

What problem does it solve? When a project brief explicitly requires CrewAI for multi-agent orchestration, this Skill ensures the implementation uses CrewAI's actual current API rather than outdated or hallucinated patterns, since CrewAI's constructors and process types change across versions. ## Core Features & Use Cases - Research-first verification: Fetches CrewAI's current official quickstart docs and diffs them against the bundled reference before writing code. - Known-working reference crew: Provides references/basic_crew.py, a minimal 2-agent sequential crew (researcher + writer) with a clean run_crew(input) entrypoint. - Provider-agnostic LLM wiring: Routes all LLM calls through the project's llm_client.py so whichever real provider was verified by the API-key gate is used, with no mock mode. - Use Case: A course brief requires hands-on CrewAI for a multi-agent demo. The Skill scaffolds the crew under concepts/<slug>/agent/, spike-tests it standalone against the installed CrewAI version, then integrates it into the project. ## Quick Start Ask the agent to build the CrewAI multi-agent component for the project whose design document explicitly names CrewAI.

Frequently Asked Questions about agent-crewai

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

FAQPage Schema
How do I build a multi-agent crew with CrewAI in Python?▼

Define Agent objects with role, goal, and backstory, create Task objects with descriptions and expected outputs, then combine them in a Crew with Process.sequential and call kickoff(). The bundled basic_crew.py shows a working 2-agent example with a run_crew entrypoint.

CrewAI vs LangGraph for multi-agent orchestration?▼

CrewAI uses Agent, Task, and Crew objects with process types, while LangGraph uses explicit state graphs. This Skill applies only when the brief explicitly names CrewAI; it should not be substituted with LangGraph.

Does CrewAI support custom LLM providers?▼

Yes, CrewAI supports custom LLM configurations. This Skill wires whichever real provider was verified by the require-api-key gate through the project's llm_client.py rather than hardcoding a single provider.

Why does CrewAI example code fail after installation?▼

CrewAI's API has changed across versions, including Crew, Agent, and Task constructor arguments and the Process enum. Verify examples against the current official quickstart docs before relying on older reference code.

When should I not use CrewAI for an agent project?▼

Avoid CrewAI when the brief names a different framework like LangGraph, or when you need explicit state-graph control over agent flow. CrewAI is chosen specifically when hands-on CrewAI experience is a requirement.