Agent skill · Backend & API

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.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill claude-cost-optimization --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Path: skills/ai-llm/claude-cost-optimization/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Claude Cost Optimization ## Overview Cost optimization is critical for production Claude deployments. A single inefficiently-designed agent can cost hundreds or thousands of dollars monthly, while optimized implementations cost 10-90% less for identical functionality. This skill provides a comprehensive workflow for measuring, analyzing, and optimizing token costs. **Why This Matters**: - Token costs are your largest Claude expense - Small improvements compound over millions of API calls - Context optimization alone saves 60-90% on long conversations - Model + effort selection can reduce costs 5-10x for specific tasks **Key Savings Available**: - Effort parameter: 20-70% token reduction (same model, different reasoning depth) - Context editing: 60-90% reduction on long conversations - Tool optimization: 37-85% reduction with advanced tool patterns - Prompt caching: 90% reduction on repeated content - Model selection: 2-5x cost difference between models ## When to Use This Skill Use claude-cost-optimization when you need to: - **Track Token Costs**: Understand exactly what your Claude implementation costs - **Identify Expensive Patterns**: Find which operations consume the most to

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. 5-Step Optimization Workflow
  4. Step 1: Measure Baseline Usage
  5. Step 2: Analyze Cost Drivers
  6. Step 3: Apply Optimizations
  7. Step 4: Track Improvements
  8. Step 5: Report ROI
  9. Quick Start - Usage Tracking
  10. Quick Start - ROI Calculation
  11. Pricing Overview
  12. Optimization Decision Tree
  13. Common Optimization Scenarios
  14. Scenario 1: Reducing Agent Costs 50%
Ships with 1 file
  • metadata.json
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About this skill
What does the claude-cost-optimization skill do?

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.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill claude-cost-optimization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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