Identify and quantify cost savings across Azure subscriptions by analyzing actual costs, utilization metrics, and generating actionable optimization recommendations. USE FOR: optimize Azure costs, reduce Azure spending, reduce Azure expenses, analyze Azure costs, find cost savings, generate cost optimization report, find orphaned resources, rightsize VMs, cost analysis, reduce waste, Azure spending analysis, find unused resources, optimize Redis costs. DO NOT USE FOR: deploying resources (use azure-deploy), general Azure diagnostics (use azure-diagnostics), security issues (use azure-security)
Install with Tessl CLI
npx tessl i github:microsoft/azure-skills --skill azure-cost-optimization94
Quality
92%
Does it follow best practices?
Impact
94%
1.88xAverage score across 3 eval scenarios
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that excels across all dimensions. It provides specific concrete actions, comprehensive natural trigger terms, explicit 'USE FOR' and 'DO NOT USE FOR' clauses that clearly define scope, and strong distinctiveness from related Azure skills. The description uses proper third-person voice throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'analyzing actual costs', 'utilization metrics', 'generating actionable optimization recommendations', 'find orphaned resources', 'rightsize VMs'. These are concrete, measurable activities. | 3 / 3 |
Completeness | Clearly answers both what (identify and quantify cost savings, analyze costs/utilization, generate recommendations) AND when (explicit 'USE FOR' clause with comprehensive trigger scenarios). Also includes helpful 'DO NOT USE FOR' guidance. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'optimize Azure costs', 'reduce Azure spending', 'find cost savings', 'find unused resources', 'reduce waste', 'cost analysis'. These match how users naturally phrase cost optimization requests. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with clear niche (Azure cost optimization) and explicit boundary-setting via 'DO NOT USE FOR' clause that distinguishes from azure-deploy, azure-diagnostics, and azure-security skills. Unlikely to conflict. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, highly actionable skill for Azure cost optimization. It excels at workflow clarity with explicit validation steps and progressive disclosure through appropriate use of reference documents. Minor verbosity in explanatory sections and repeated notes could be trimmed to improve token efficiency.
Suggestions
Consolidate the 'Important Notes' section - the data classification legend and best practices could be more concise since Claude understands these concepts
Remove redundant explanations like 'What to look for in azqr results' since the reference document covers this
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some unnecessary explanations (e.g., explaining what azqr looks for, verbose notes sections). Some sections could be tightened, particularly the repeated explanations about data classification and the lengthy report template structure. | 2 / 3 |
Actionability | Provides fully executable PowerShell commands, complete JSON query templates, and specific MCP tool invocations. Code examples are copy-paste ready with clear placeholders for user-specific values. | 3 / 3 |
Workflow Clarity | Clear 9-step sequence with explicit validation checkpoints (Step 0 prerequisites, Step 8 audit trail). Includes conditional branching for Redis-specific analysis and explicit cleanup step. Feedback loops are present for cost query validation. | 3 / 3 |
Progressive Disclosure | Excellent structure with clear overview and well-signaled one-level-deep references to specialized documents (azure-redis.md, azure-quick-review.md, azure-resource-graph.md). Report templates are appropriately linked rather than inlined. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
Table of Contents
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