cost-optimizer

Estimate per-task LLM token costs and project cumulative spend.

5|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/JansenAnalytics/claudex --skill cost-optimizer-jansenanalytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cost-optimizer
Source: https://github.com/JansenAnalytics/claudex/tree/main/skills/cost-optimizer
Command: npx skills add https://github.com/JansenAnalytics/claudex --skill cost-optimizer-jansenanalytics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Track and optimize LLM token spend across tasks, helping you predict costs and reduce waste.

Core Features & Use Cases

  • Estimate per-task costs and compare model tiers to optimize spending.
  • Monitor cumulative usage and identify batching opportunities.
  • Use cases include budgeting for prompts, selecting cost-effective models, and cost-performance tradeoffs.

Quick Start

Run cost-optimizer to estimate token costs for a task and select a cost-effective model tier.

Frequently Asked Questions about cost-optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I estimate LLM token costs for different prompts and usage patterns?

You estimate LLM token costs by applying deterministic cost mappings using token counts and model pricing data. This Skill quantifies expenditure by estimating per-task costs and projecting cumulative spend across diverse prompts.

What's the best way to compare model tiers for cost-performance tradeoffs?

Comparing model tiers involves projecting cumulative spend against task requirements to identify cost-effective selections. It applies deterministic cost mappings using token counts and model pricing data to evaluate cost-performance tradeoffs.

Can I use this for project budgeting and batching strategy decisions?

Yes, this approach supports project budgeting, model-tier selection, and batching strategy decisions. It quantifies and optimizes token expenditure by estimating per-task costs and projecting cumulative spend across diverse usage patterns.

How does token spend optimization handle diverse prompts without errors?

Token spend optimization handles diverse prompts safely by applying deterministic cost mappings with validation, fallbacks, and safe defaults. This ensures accurate per-task cost estimation and cumulative spend projection without calculation errors.

Do I need external dependencies to monitor cumulative token usage?

No external dependencies are required to monitor cumulative token usage. The Skill operates independently with scripts and references to track usage and identify batching opportunities using deterministic token counts and model pricing data.