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README.md

CrewAI Standard Crews Examples

This directory contains examples of traditional CrewAI implementations - autonomous agent teams working together to accomplish complex tasks.

What are CrewAI Crews?

A CrewAI Crew is a team of AI agents, each with specific roles and goals, working together to complete tasks. Key components include:

  • Agents: Autonomous AI entities with specific roles and expertise
  • Tasks: Defined objectives that agents work to complete
  • Tools: Functions and integrations agents can use
  • Process: Sequential or hierarchical task execution

Examples in this Directory

Content Creation

  • game-builder-crew: Multi-agent team that designs and builds Python games
  • instagram_post: Creates engaging Instagram content with research and creativity
  • landing_page_generator: Builds complete landing pages from concepts
  • marketing_strategy: Develops comprehensive marketing campaigns
  • screenplay_writer: Converts text into professional screenplay format

Business & Productivity

  • job-posting: Analyzes companies and creates tailored job descriptions
  • prep-for-a-meeting: Researches participants and prepares meeting strategies
  • recruitment: Automates candidate sourcing and evaluation
  • stock_analysis: Performs comprehensive financial analysis with SEC data

Data & Matching

  • match_profile_to_positions: CV-to-job matching with vector search
  • meta_quest_knowledge: Q&A system using PDF documentation

Travel & Planning

  • surprise_trip: Plans personalized surprise travel itineraries
  • trip_planner: Compares destinations and optimizes travel plans

Template

  • starter_template: Basic template for creating new CrewAI projects

Common Crew Patterns

Agent Definition

# agents.yaml
researcher:
  role: "Senior Research Analyst"
  goal: "Uncover cutting-edge developments"
  backstory: "You're a seasoned researcher..."

Task Definition

# tasks.yaml
research_task:
  description: "Conduct comprehensive research on {topic}"
  agent: researcher
  expected_output: "Detailed research report"

Crew Assembly

from crewai import Crew, Agent, Task

crew = Crew(
    agents=[researcher, writer],
    tasks=[research_task, writing_task],
    process="sequential"  # or "hierarchical"
)

Key Features Demonstrated

  1. Multi-Agent Collaboration: Examples show 2-7 agents working together
  2. Tool Integration: Web search, APIs, file manipulation, databases
  3. Custom Tools: Many examples implement specialized tools
  4. YAML Configuration: Standardized agent/task definitions
  5. Various Domains: From creative writing to financial analysis

Getting Started

  1. Choose an example that matches your use case
  2. Navigate to its directory
  3. Follow the example-specific README
  4. Install dependencies (usually via pip install -r requirements.txt or poetry install)
  5. Run with python main.py or as specified

Each example is self-contained with all necessary configurations and can be used as a starting point for your own crews.