Orchestrates AI agents across multi-cloud environments, coordinates workflows, manages agent lifecycles, and provides intelligent task distribution and monitoring.
SkillScore82Maintained
Automatic
◆AI Engineer pack
Last verified 8/4/2026
What it changes
Passed 18 of 22 test cases with the skill, and 10 of 22 without it.
Without skill45%
With skill82%
Checks it passed that the model alone missed
Specifies Python 3.8 as the minimum required version.
Assigns the default cloudProvider parameter value of all.
Identifies Cloud Provider Detection as step 1 of the process.
and 5 more in the full report
8 fixed10 passed either way4 still failing0 broke
Pass-rate lift
+36 pp
Tokens
+19%
Agent turns
0%
Response time
-36%
Model gemini-3.6-flashMeasured 8/4/2026v118 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 8
Prompt
We need to trigger an inventory assessment operation on resource 'agent-registry-v1' without passing a cloud provider argument. Which cloud provider enum value is applied by default?
What was checked, without and with the skill
Checked
Without skill
With skill
Assigns the default cloudProvider parameter value of all.
Missed
Passed
case-05 · gemini-3.6-flash · 8/4/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md77 lines6 filesincludes scripts
Ai Agent Orchestration — Multi-Cloud Enterprise Automation
Purpose
Enterprise-grade automation solution for ai agent orchestration operations across AWS, Azure, GCP, and on-premise environments to maximize operational efficiency while maintaining security and compliance standards.
When to Use
ai agent orchestration operations across multi-cloud environments
Automation and optimization of ai agent orchestration workflows
Monitoring and management of ai agent orchestration resources
Compliance and governance for ai agent orchestration activities