davila7/claude-code-templates/crewai

# config/agents.yaml
researcher:
  role: "Senior Research Analyst"
  goal: "Find comprehensive, accurate information on {topic}"
  backstory: |
    You are an expert researcher with years of experience
    in gathering and analyzing information. You're known
    for your thorough and accurate research.
  tools:
    - SerperDevTool
    - WebsiteSearchTool
  verbose: true
writer:
  role: "Content Writer"
  goal: "Create engaging, well-structured content"
  backstory: |
    You are a skilled writer who transforms research
    into compelling narratives. You focus on clarity
    and engagement.
  verbose: true
# config/tasks.yaml
research_task:
  description: |
    Research the topic: {topic}
    Focus on:
    1. Key facts and statistics
    2. Recent developments
    3. Expert opinions
    4. Contrarian viewpoints
    Be thorough and cite sources.
  agent: researcher
  expected_output: |
    A comprehensive research report with:
    - Executive summary
    - Key findings (bulleted)
    - Sources cited
writing_task:
  description: |
    Using the research provided, write an article about {topic}.
    Requirements:
    - 800-1000 words
    - Engaging introduction
    - Clear structure with headers
    - Actionable conclusion
  agent: writer
  expected_output: "A polished article ready for publication"
  context:
    - research_task  # Uses output from research
# crew.py
from crewai import Agent, Task, Crew, Process
from crewai.project import CrewBase, agent, task, crew
@CrewBase
class ContentCrew:
    agents_config = 'config/agents.yaml'
    tasks_config = 'config/tasks.yaml'
    @agent
    def researcher(self) -> Agent:
        return Agent(config=self.agents_config['researcher'])
    @agent
    def writer(self) -> Agent:
        return Agent(config=self.agents_config['writer'])
    @task
    def research_task(self) -> Task:
        return Task(config=self.tasks_config['research_task'])
    @task
    def writing_task(self) -> Task:
        return Task(config

from crewai import Crew, Process
# Define specialized agents
researcher = Agent(
    role="Research Specialist",
    goal="Find accurate information",
    backstory="Expert researcher..."
)
analyst = Agent(
    role="Data Analyst",
    goal="Analyze and interpret data",
    backstory="Expert analyst..."
)
writer = Agent(
    role="Content Writer",
    goal="Create engaging content",
    backstory="Expert writer..."
)
# Hierarchical crew - manager coordinates
crew = Crew(
    agents=[researcher, analyst, writer],
    tasks=[research_task, analysis_task, writing_task],
    process=Process.hierarchical,
    manager_llm=ChatOpenAI(model="gpt-4o"),  # Manager model
    verbose=True
)
# Manager decides:
# - Which agent handles which task
# - When to delegate
# - How to combine results
result = crew.kickoff()

from crewai import Crew, Process
# Enable planning
crew = Crew(
    agents=[researcher, writer, reviewer],
    tasks=[research, write, review],
    process=Process.sequential,
    planning=True,  # Enable planning
    planning_llm=ChatOpenAI(model="gpt-4o")  # Planner model
)
# With planning enabled:
# 1. CrewAI generates step-by-step plan
# 2. Plan is injected into each task
# 3. Agents see overall structure
# 4. More consistent results
result = crew.kickoff()
# Access the plan
print(crew.plan)