How does this skill calculate Cloudflare costs?

It uses engineering-grade 2026 pricing models for services including Workers, D1, R2, KV, and AI Gateway, applying them to your specific usage metrics and configurations.

Can it help with AI-specific costs?

Yes, it analyzes AI Gateway logs and Workers AI neuron usage to recommend model switching (e.g., Llama 11B to 8B) or caching strategies to avoid redundant LLM costs.

Does it require access to my Cloudflare account?

The skill utilizes MCP tools to query your Wrangler configs and observability data, requiring the appropriate local permissions to provide accurate financial estimates.

Can it identify specific code issues causing high bills?

Yes, it detects patterns like per-row D1 inserts or unoptimized queue retries and provides specific code-level fixes such as batching strategies.

What is the primary benefit of using this over the Cloudflare dashboard?

Unlike the dashboard which shows historical data, this skill provides proactive architectural recommendations and predicts future costs based on code-level changes.

Cloudflare Cost Optimizer

Name: Cloudflare Cost Optimizer
Author: littlebearapps

bylittlebearapps

Infraestructura en la Nube

Analyzes Cloudflare architectures to predict monthly expenditures and provide actionable cost-saving recommendations based on 2026 pricing.

Acerca de

This skill transforms Claude into a senior Cloudflare systems engineer focused on financial efficiency and architectural optimization. By scanning Wrangler configurations, observability data, and service bindings, it identifies expensive 'cost traps'—such as unbatched D1 writes, excessive queue retries, or inefficient AI model usage. It provides a comprehensive breakdown of monthly spend across Workers, D1, R2, KV, and AI services, coupled with specific code-level implementation steps to reduce infrastructure overhead without sacrificing performance.

Características Principales

Provides actionable implementation snippets to optimize data storage and egress
Predicts monthly costs using detailed 2026 Cloudflare pricing models
Identifies high-impact cost drivers like unbatched D1 writes and R2 Class A operations
Estimates AI token costs and recommends cheaper model alternatives for high-volume tasks
0 GitHub stars
Analyzes Wrangler configurations and observability metrics automatically via MCP

Casos de Uso

Investigating and resolving unexpectedly high bills by identifying inefficient database or queue patterns
Scaling existing Cloudflare Workers applications while maintaining a predictable budget through automated optimization
Conducting a pre-deployment audit to estimate the monthly billing impact of a new serverless architecture

Acerca de

Características Principales

Provides actionable implementation snippets to optimize data storage and egress
Predicts monthly costs using detailed 2026 Cloudflare pricing models
Identifies high-impact cost drivers like unbatched D1 writes and R2 Class A operations
Estimates AI token costs and recommends cheaper model alternatives for high-volume tasks
0 GitHub stars
Analyzes Wrangler configurations and observability metrics automatically via MCP

Casos de Uso

Investigating and resolving unexpectedly high bills by identifying inefficient database or queue patterns
Scaling existing Cloudflare Workers applications while maintaining a predictable budget through automated optimization
Conducting a pre-deployment audit to estimate the monthly billing impact of a new serverless architecture