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.
Works with
--- name: aws-cleanrooms description: 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. license: Apache-2.0 --- # 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](references/permission-debugging.md). 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](references/custom-model-logging-debugging.md). Covers Configured Model Algorithm Association privacy configuration, ML Configuration role permissions, and log group verification. ## Additional resources - [Clean Rooms Service Role Setup](https://docs.aws.amazon.com/clean-rooms/latest/userguide/setting-up-roles.html) - [Cross-service Confused Deputy Prevention](https://docs.aws.amazon.com/clean-rooms/latest/userguide/cross-service-confused-deputy-prevention.html) - [ML Roles Documentation](https://docs.aws.amazon.com/clean-rooms/latest/userguide/ml-roles.html) - [Lake Formation Onboarding](https://docs.aws.amazon.com/lake-formation/latest/dg/onboarding-lf-permissions.html)
More Debugging skills
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.
