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claude-cost-optimization

Comprehensive cost tracking and optimization for production Claude deployments. Covers Admin API usage tracking, efficiency measurement, ROI calculation, optimization patterns (caching, batching, model selection, context editing, effort parameter), and cost prediction. Use when tracking costs, optimizing token usage, measuring efficiency, calculating ROI, reducing production expenses, or implementing cost-effective Claude integrations.

69

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is claude-cost-optimization in fernandezbaptiste/Skrillz

SKILL.md
Quality
Evals
Security

Quality

Content

71%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

Highly actionable content with excellent code and concrete numbers, undermined by verbosity and weak progressive disclosure that inlines detail better suited to the existing reference files.

Suggestions

Move the full pricing tables, the two Quick Start Python functions, and the detailed scenarios into the existing reference files, keeping only a concise overview plus named links (e.g. references/optimization-strategies.md, references/cost-analysis.md) in the body.

Cut the "Why This Matters" and "Key Savings Available" sections and state savings percentages once in the optimization table rather than repeating them in the overview, Step 3, and each scenario.

Add a brief validate/re-measure checkpoint after Step 3 (Apply Optimizations) so the workflow shows an explicit before-vs-after verification loop.

DimensionReasoningScore

Conciseness

The body is mostly actionable but includes motivational padding ("Why This Matters", "Key Savings Available") and repeats the same savings percentages across the overview, Step 3, the pricing table, and the scenarios, which could be tightened.

3 / 5

Actionability

Fully executable copy-paste Python (Admin API usage and ROI functions), concrete pricing tables, a worked cost-comparison, and a decision tree cover the common cases with specific commands and numbers.

5 / 5

Workflow Clarity

The 5-step workflow (Measure → Analyze → Optimize → Track → Report) plus a decision tree gives a clear sequence, but there are no explicit validate→fix→retry checkpoints; this is not a destructive skill so the cap does not apply.

4 / 5

Progressive Disclosure

Four reference files exist, yet the body signals only one by name (references/usage-tracking.md) and inlines large material that belongs in references — full pricing tables, two complete functions, the decision tree, and detailed scenarios.

3 / 5

Total

15

/

20

Passed

Description

96%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, well-structured description that clearly states capabilities and provides concrete, natural trigger phrases. Minor overlap risk with sibling optimization skills keeps distinctiveness just below the top anchor.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — "Admin API usage tracking, efficiency measurement, ROI calculation, optimization patterns (caching, batching, model selection, context editing, effort parameter), and cost prediction" — giving comprehensive coverage of what the skill does.

5 / 5

Completeness

It explicitly answers both what ("Covers Admin API usage tracking...optimization patterns...and cost prediction") and when ("Use when tracking costs, optimizing token usage...") with concrete trigger phrases.

5 / 5

Trigger Term Quality

The "Use when" clause covers comprehensive natural phrases users would say — "tracking costs, optimizing token usage, measuring efficiency, calculating ROI, reducing production expenses, or implementing cost-effective Claude integrations".

5 / 5

Distinctiveness Conflict Risk

It carves a clear cost-optimization niche with distinct triggers, but overlaps slightly with related optimization skills (e.g. context-management, advanced-tool-use) that also frame themselves around efficiency gains.

4 / 5

Total

19

/

20

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
fernandezbaptiste/Skrillz
Reviewed

Table of Contents

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