Query and forecast Azure costs across multiple scopes with structured request schemas.
npx skills add https://github.com/davisdre/azure-resume --skill azure-cost
Please help me install this Agent Skill. Skill: azure-cost Source: https://github.com/davisdre/azure-resume/tree/main/.agents/skills/azure-cost Command: npx skills add https://github.com/davisdre/azure-resume --skill azure-cost
Azure cost management and forecasting across multiple scopes is complex; this skill consolidates querying, forecasting, and optimization workflows to help users understand and reduce cloud spend.
Analyze your Azure spend in your chosen scope by running a cost query and reviewing the top cost drivers.
High-intent search queries and answers about installing and using this skill.
Azure cost queries support multiple scopes including subscriptions, resource groups, management groups, and billing accounts. It uses a structured request body schema with timeframe, dataset, grouping, filtering, and sorting parameters to retrieve spend data.
Yes, you can forecast Azure cloud spend for budgeting. The skill provides cost forecasting alongside optimization recommendations with enforced guardrails for granularity and time ranges to ensure accurate future spend predictions.
The best way to find Azure optimization opportunities for orphaned resources is by running cost queries to identify top spend drivers. The skill includes practical workflows for identifying orphaned resources and rightsizing to reduce cloud spend.
Azure cost management supports filtering and grouping for specific timeframes. The skill implements a structured request body schema that includes timeframe, dataset, grouping, filtering, and sorting parameters to enforce guardrails for granularity and time ranges.
Azure cost queries may return API errors for large management groups due to exceeding granularity or time range limits. The skill enforces guardrails for these parameters and guides error handling for common API responses to resolve these issues.
Limitations for Azure cost forecasts include enforced guardrails on granularity and time ranges. The skill implements these constraints to prevent API errors and guides error handling for common API responses when boundaries are exceeded.
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