Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurf+15 more

    💰 AI Cost Optimizer

    by Martin Gunderman

    2

    An advanced FinOps engine to analyze AI usage, optimize token spend, and reduce LLM costs by up to 60%.

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    See it in action

    You say

    Analyze my OpenAI usage export for March and suggest ways to cut costs without losing performance. My monthly spend is currently $14,000.

    Your agent does

    Potential Savings: $5,800/mo (41.4%). Top Actions:

    1. Route 60% of tasks (extraction/summary) to GPT-4o-mini: saves $4,200.
    2. Implement Context Caching for repetitive system prompts: saves $850.
    3. Use Batch API for daily reporting tasks: saves $750. ROI: 15x. Payback: <1 month.

    What you get

    Audit monthly LLM usage exports for systematic token waste.Design an automated model-routing table based on task complexity.Calculate the ROI of implementing semantic caching for RAG systems.Identify processes suitable for OpenAI Batch API 50% discounts.

    About this skill

    What it does

    The AI Cost Optimizer is a specialized FinOps tool designed specifically for developers and agencies scaling AI applications. It performs deep analysis of token consumption, model selection strategies, and infrastructure overhead to identify systematic waste. By auditing usage data from providers like OpenAI, Anthropic, and Azure, it generates a structured optimization report with specific ROI calculations and a prioritized implementation roadmap.

    Why use this skill

    Relying on generic prompts or default model settings often leads to 40-60% budget waste. This skill is better than manual prompting because it applies a systematic engineering framework to your specific usage patterns. It identifies complex opportunities like semantic caching, batch processing utilization (50% discounts), and optimal model-task mapping that are easily missed during standard development.

    Key Features

    • Token Engineering: Audits system prompts and output lengths to trim inflation.
    • Model Routing: Maps tasks to the most cost-effective models (e.g., migrating classification from GPT-4o to 4o-mini).
    • Multi-Level Caching: Strategy designs for Redis, semantic, and session-based caching.
    • Batch Analysis: Identifies time-insensitive tasks eligible for 50% API discounts.
    • ROI Planning: Provides a 12-month savings forecast and payback period analysis.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    I use Agent Skills to increase my Work Output by a factor of 35 % ore more.

    Frequently Asked Questions

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