What problem does it solve? Debugging failed Airflow DAGs in Google Cloud Composer requires manually digging through scattered logs and verifying which code version actually ran remotely. This Skill automates evidence gathering and produces a structured Root Cause Analysis (RCA) report. ## Core Features & Use Cases - Log-Based Evidence Gathering: Uses gcloud logging read with severity, DAG ID, and environment filters to locate failures and stack traces. - Remote Code Verification: Downloads the actual DAG code from the environment's GCS bucket to confirm the running version before analysis. - RCA Report Generation: Correlates log errors with exact code lines and produces a saved RCA report with a proposed fix. - Use Case: A data engineer sees that the daily_sales_agg DAG failed yesterday. The Skill fetches the error logs, downloads the remote DAG file, identifies a KeyError: 'region' at line 45, and writes an RCA report recommending record.get('region', 'unknown'). ## Quick Start Ask the assistant to troubleshoot why your Cloud Composer DAG failed and generate an RCA report for it.