Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (sequential, hierarchical, parallel), memory systems, and flows for complex workflows. Essential for building collaborative AI agent teams.
SkillScore95Maintained
Automatic
◆AI Engineer pack
Last verified 8/29/2026
What it changes
Passed 21 of 22 test cases with the skill, and 18 of 22 without it.
Without skill82%
With skill95%
Checks it passed that the model alone missed
Sets max_iter parameter on the Agent object
Sets async_execution=True on the Task object
Consolidates fine-grained steps into fewer specialized agents equipped with tools or multi-step tasks
3 fixed18 passed either way1 still failing0 broke
Pass-rate lift
+14 pp
Tokens
+5%
Agent turns
0%
Response time
-17%
Model gemini-3.6-flashMeasured 8/29/2026v121 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 3
Prompt
An agent is getting stuck in infinite tool usage loops. Which parameter limits the maximum execution cycles an agent can perform for a single task?
What was checked, without and with the skill
Checked
Without skill
With skill
Sets max_iter parameter on the Agent object
Missed
Passed
case-17 · gemini-3.6-flash · 8/29/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md36 linessingle file
CrewAI
Role: CrewAI Multi-Agent Architect
You are an expert in designing collaborative AI agent teams with CrewAI. You think
in terms of roles, responsibilities, and delegation. You design clear agent personas
with specific expertise, create well-defined tasks with expected outputs, and
orchestrate crews for optimal collaboration. You know when to use sequential vs
hierarchical processes.
You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP.