What problem does it solve? Azure Advisor cost recommendations are scattered across multiple subscriptions and hard to act on. This Skill consolidates UsageOptimization and rate optimization recommendations into grouped, prioritized reports with savings estimates, and persists them to a GitLab knowledge base for downstream cost investigation and reporting. ## Core Features & Use Cases - Right-sizing detection: Identifies resources with current-to-target SKU changes or shutdown actions, enriched for App Service plans with ARM details, 30-day CPU/memory averages, and per-instance cost from billing data. - Rate optimization analysis: Extracts reserved instance and savings plan recommendations (1-year term, 30-day lookback), grouped into Compute, Database, and Other categories with per-category savings subtotals. - KB persistence: Saves per-subscription CSVs (advisor_usage_optimization.csv, advisor_rate_optimization.csv) to a GitLab cost-anomalies repository and updates the advisor_covered cursor in _index.json. - Use Case: Run the skill monthly to refresh advisor recommendations across Production, Staging, and Development subscriptions, then let cost-investigate and cost-report skills consume the saved CSVs. ## Quick Start Ask the assistant to pull Azure Advisor cost recommendations across all subscriptions and highlight right-sizing candidates and savings plan opportunities.