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selcukyucel
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cost-estimate

Estimate token usage and monthly costs for proposed AI automations.

1|Updated Mar 26, 2026
Search Tags:#budgeting#cost-optimization#cost-estimation#token-cost#model-pricing#ai-pipeline
One-click install
npx skills add https://github.com/selcukyucel/north-starr-genai --skill cost-estimate-selcukyucel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cost-estimate
Source: https://github.com/selcukyucel/north-starr-genai/tree/main/skills/cost-estimate
Command: npx skills add https://github.com/selcukyucel/north-starr-genai --skill cost-estimate-selcukyucel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Before building or changing an AI automation, estimate token costs so teams can make informed decisions about model selection, caching strategy, and budget allocation. This prevents cost surprises at scale — a prompt that costs $0.01 per request becomes $1,000/month at 100K requests.

Core Features & Use Cases

  • Stepwise workflow to identify token sources, estimate token counts, calculate model costs, project monthly costs, and analyze cost deltas.
  • Supports evaluating optimization opportunities like prompt caching, batching, and model tiering across new builds or changes.
  • Use case: Plan a new AI automation and compare costs across Claude and OpenAI models to stay within budget.

Quick Start

Provide a description of the AI automation or change to estimate, and the skill will generate a comprehensive token-cost projection.

Frequently Asked Questions about cost-estimate

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

FAQPage Schema
How do I estimate token costs for an AI automation before building it?▼

To estimate token costs before building, provide a description of your proposed AI automation. The workflow identifies token sources, calculates model pricing, and projects monthly costs to guide budgeting and prevent scale surprises.

Can I compare LLM model pricing to plan my AI pipeline budget?▼

You can compare model pricing to plan your AI pipeline budget by evaluating costs across different model tiers. This helps teams make informed decisions about model selection and stay within projected monthly cost limits.

What is the best way to calculate monthly token projections for RAG contexts?▼

Calculating monthly token projections for RAG contexts involves a stepwise workflow to estimate token counts from prompts and retrieval sources. This applies to new pipelines or changes to analyze cost deltas and forecast monthly spend.

Does prompt caching and batching actually reduce token usage costs?▼

Prompt caching and batching reduce token usage costs by minimizing redundant processing. Evaluating these optimization opportunities during the estimation phase helps lower the projected monthly expenses for high-volume AI automations.

When do I need to analyze cost deltas for changes to existing AI pipelines?▼

You need to analyze cost deltas when changing existing AI pipelines to understand the financial impact of modifications. This stepwise estimation evaluates new prompts, RAG contexts, or model switches to ensure changes remain within budget.

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