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azure-cost-optimization

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-optimization
What are skills?

94

1.88x

Quality

92%

Does it follow best practices?

Impact

94%

1.88x

Average score across 3 eval scenarios

SKILL.md
Review
Evals

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.

DimensionReasoningScore

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

DimensionReasoningScore

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Reviewed

Table of Contents

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