Crewai

What it does

When your agent uses it

• Orchestrating multi-agent teams
• Comparing agent frameworks
• Unrelated requests
• Route to the nearest named specialist

Example prompts

• “/crewai”

Requirements

• Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

1. 1Agents are Roles, not functions. Role + Goal + Backstory defines the agent's identity. Strong role definitions reduce hallucination.
2. 2Tasks declare what, not how. Description + expected_output defines the task. The agent figures out execution.
3. 3Sequential is for pipelines, Hierarchical is for complexity. Sequential runs tasks in order. Hierarchical uses a manager agent to delegate…
4. 4Manager LLM is required for Hierarchical. Without manager_llm, hierarchical process fails silently.
5. 5Delegation loops are real. allow_delegation=True without max_iter bounds can cause infinite handoffs.
6. 6Tool errors don't raise. A failed tool call marks the task as failed but doesn't raise an exception. Check task output.

What it can do on your machine

Read from SKILL.md and the folder at commit 22b4723. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 1 file in scripts/ (Python), which the agent can run.

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Crewai loads about 1.7k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 514 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~91

When it runs · the whole SKILL.md, loaded when a task matches

~1.7k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~5.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from magnus919/agent-skills at commit 22b4723, republished under its MIT licence (© magnus919). 514 words, ~1,657 tokens.

name

crewai

description

Build role-based multi-agent systems with CrewAI. Agents with Role/Goal/Backstory, task design, crew composition (sequential or hierarchical), tool integration, callbacks, and production deployment. Use when orchestrating multi-agent teams or comparing agent frameworks. Do not use this skill for unrelated requests; route to the nearest named specialist.

license

MIT

metadata.author

Magnus Hedemark

metadata.version

1.1.0

metadata.source

https://docs.crewai.com

from crewai import Agent, Task, Crew, Process
from crewai.tools import tool

@tool("search")
def search_web(query: str) -> str:
    """Search the web for information."""
    return f"Results for: {query}"

researcher = Agent(
    role="Senior Researcher",
    goal="Find accurate information on any topic",
    backstory="Expert researcher with 10 years of experience",
    tools=[search_web],
    verbose=True,
)

writer = Agent(
    role="Technical Writer",
    goal="Write clear reports from research findings",
    backstory="Experienced technical writer",
    verbose=True,
)

research_task = Task(
    description="Research the topic thoroughly",
    expected_output="A detailed research brief",
    agent=researcher,
)

write_task = Task(
    description="Write a report based on research",
    expected_output="A well-structured report",
    agent=writer,
)

crew = Crew(
    agents=[researcher, writer],
    tasks=[research_task, write_task],
    process=Process.sequential,
    verbose=True,
)

result = crew.kickoff()

© magnus919, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 15 other files (scripts, references) in crewai of magnus919/agent-skills.

• SKILL.md
• README.md
• evals/evals.json
• references/agent-design.md
• references/callbacks.md
• references/crew-patterns.md
• references/faq-and-troubleshooting.md
• references/flows.md
• references/memory-system.md
• references/task-design.md
• references/tool-integration.md
• references/validation-audit.md
• scripts/check-setup.py
• templates/hierarchical-crew.py
• templates/research-crew.py
• templates/support-crew.py

Open the folder on GitHubat commit 22b4723