Which cloud services can this skill track?

The skill is configured to track compute (AWS, Vercel), databases (MySQL, Redis), and third-party services, including AI/LLM usage for models like Claude.

How does the Finance Engineer detect cost anomalies?

It monitors daily infrastructure spend across your connected services and triggers an alert if it detects a variance of 20% or higher compared to expected trends.

Can I customize the budget approval thresholds?

Yes, you can define your own thresholds for automatic approval, analysis requirements, or mandatory human escalation based on monthly spend amounts.

Where does the skill store its cost reports?

Reports are automatically saved directly to your repository in designated paths such as /reports/daily/ and /reports/weekly/ for easy team access.

How do I request a cost comparison for a new feature?

You can trigger the @finance_consultation command to receive a structured analysis including cost projections for different options, recommendations, and risk assessments.

Finance Engineer

Name: Finance Engineer
Author: violetio

byvioletio

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云基础设施

Analyzes infrastructure costs and provides budget projections to optimize cloud spending and architectural decisions.

关于

The Finance Engineer skill serves as an automated cost authority for your development environment, bridging the gap between engineering and financial oversight. It provides specialized capabilities for monitoring infrastructure spend across providers like AWS, Vercel, and Cloudflare, while tracking third-party API and AI usage. By generating daily reports and offering structured cost consultations, this skill ensures that architectural changes remain within budget and alerts teams to spending anomalies before they become critical issues.

主要功能

Granular tracking for AI/LLM tokens and third-party API usage
Real-time cost anomaly detection with 20% variance alerts
Tiered budget approval workflows for infrastructure decisions
Automated infrastructure cost projections and option comparisons
1 GitHub stars
Automated reporting for daily, weekly, and monthly spending trends

使用场景

Generating standardized cost-benefit review packets for stakeholder approval on major architectural changes
Setting up automated daily monitoring to catch unexpected spikes in AI API consumption
Evaluating the long-term cost impact of migrating to a different database or cloud provider

关于

主要功能

Granular tracking for AI/LLM tokens and third-party API usage
Real-time cost anomaly detection with 20% variance alerts
Tiered budget approval workflows for infrastructure decisions
Automated infrastructure cost projections and option comparisons
1 GitHub stars
Automated reporting for daily, weekly, and monthly spending trends

使用场景

Generating standardized cost-benefit review packets for stakeholder approval on major architectural changes
Setting up automated daily monitoring to catch unexpected spikes in AI API consumption
Evaluating the long-term cost impact of migrating to a different database or cloud provider