One-click install
npx skills add https://github.com/Houseofmvps/ultraship --skill cost-houseofmvps
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cost
Source: https://github.com/Houseofmvps/ultraship/tree/main/skills/cost
Command: npx skills add https://github.com/Houseofmvps/ultraship --skill cost-houseofmvps

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users of AI coding tools like Claude and GPT often lack visibility into how much their AI-assisted development costs per feature, leading to unoptimized spending, unclear ROI, and unexpected budget overruns.

Core Features & Use Cases

  • Per-Feature Cost Tracking: Log and track AI token costs for individual features, bug fixes, and refactoring tasks to identify high-spend work.
  • Interactive Cost Dashboard: View breakdowns of total spend, weekly/monthly trends, cost per model, and outlier tasks that cost 3x the average.
  • Actionable Optimization Recommendations: Get tailored suggestions to reduce costs, such as switching to cheaper models for routine tasks or investing in tests to cut debugging expenses.
  • Build vs Buy ROI Analysis: Evaluate whether building a feature with AI is more cost-effective than using existing libraries or SaaS tools, with clear cost benchmarks for common development tasks.
  • Use Case: A solo founder building a SaaS product can use this skill to track that their authentication feature cost $12 in AI tokens, identify that debugging accounts for 40% of their spend, and get a recommendation to add unit tests to reduce future debugging costs.

Quick Start

Use the cost skill to analyze your current AI spending for this project and identify the top 3 ways to reduce unnecessary costs.

Frequently Asked Questions about cost

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

FAQPage Schema
How do I track AI spending costs per feature during software development?

Track AI spending costs per feature by logging token costs for individual features and tasks to identify high-spend work. This provides clear visibility into spending patterns and ROI for AI-assisted development.

What is the best way to optimize AI token usage and reduce unnecessary expenditure?

Optimize AI token usage by applying tailored recommendations like switching to cheaper models for routine tasks or investing in unit tests to cut debugging expenses. Analyzing cost dashboards helps pinpoint outlier tasks.

Can I analyze build vs buy ROI for features built with AI coding tools?

Analyze build vs buy ROI by evaluating whether building a feature with AI is more cost-effective than using existing libraries or SaaS tools. This compares AI token costs against clear cost benchmarks for development tasks.

Does AI cost tracking work for solo founders using Claude or GPT?

AI cost tracking works for solo founders using Claude or GPT by logging individual feature costs to budget spending. A founder can track that an authentication feature cost $12 in tokens and identify debugging as 40% of spend.

How do I generate cost dashboards and outlier alerts for AI-assisted development?

Generate cost dashboards and outlier alerts by viewing breakdowns of total spend, weekly and monthly trends, and cost per model. The dashboard automatically flags outlier tasks that cost 3x the average.