aws-cleanrooms
Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and inference jobs. Use when a customer reports permission failures, access errors, or log publishing issues in Clean Rooms.
90%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Passed
No findings from the security scan
AWS Clean Rooms
Overview
Domain expertise for troubleshooting AWS Clean Rooms collaborations and custom ML modeling. Covers permission debugging, data access issues, and CloudWatch logging configuration.
Common tasks
Debugging Clean Rooms errors
Determine the failure type:
Access denied or permission error? → See permission debugging procedure. Covers IAM role policies (inline + attached managed), S3 bucket policies, KMS key policies, Lake Formation permissions, and cross-account trust.
Missing CloudWatch logs for custom model jobs? → See custom model logging debugging procedure. Covers Configured Model Algorithm Association privacy configuration, ML Configuration role permissions, and log group verification.
Additional resources
- Repository
aws/agent-toolkit-for-aws
- Revision
8eee01d
- Last updated
- First committed
Also appears in
since Oct 26, 2026
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.