Individual skill

debugging-mwaa-workflow

Diagnoses and root-causes Amazon MWAA workflow failures across Provisioned (Python DAG) and Serverless (YAML workflow) environments. Provisioned uses aws mwaa invoke-rest-api, CloudWatch log groups, and get-environment; Serverless uses aws mwaa-serverless API (GetWorkflowRun, ListWorkflowRuns, GetTaskInstance) and CloudWatch logs. Covers failed runs and tasks, DAGs not appearing, import errors, worker OOM, IAM denials, and dependency drift. Triggers on: DAG failed, task failed, workflow run failed, MWAA error, debug my DAG, why did my workflow fail, DAG not showing up, MWAA import error, requirements failing, worker crashed, serverless run failed. Not applicable to authoring workflows (handled by authoring-mwaa-workflow), running or smoke-testing a workflow (handled by testing-mwaa-workflow), or CI-CD deploy failures.

plugins/aws-data-analytics/skills/debugging-mwaa-workflow/SKILL.md

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Observed behavior: Network or broad shell
Last checked: Nov 3, 2026

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Repository context

Repository stars (not skill ratings): 3,429
Repository last updated: Nov 6, 2026
License: Apache-2.0

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testing Derived category
operations Derived category

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SKILL.mdcore · 9,291 bytes
references/failure-catalog.mddoc · 11,652 bytes
references/provisioned-diagnostics.mddoc · 6,099 bytes
references/serverless-diagnostics.mddoc · 3,007 bytes

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# Debugging MWAA Workflows

> **AWS MCP server (optional but recommended):** running the AWS CLI commands in
> this skill through the AWS MCP server gives sandboxed execution and audit
> logging. Every command here also works with the plain AWS CLI, so the skill
> does not require the MCP server or any MCP-only tools.

Diagnose and root-cause Amazon MWAA workflow failures, then report root cause,
impact, and recommended remediation. Routes by flavor, then runs a shared
4-step diagnostic spine.

## Guardrail — where this skill's own files live (MCP vs local install)

This skill can be loaded two ways, and they resolve the skill's own bundled