skill-cost-projections

Project remaining workflow costs from completed phase spending data.

Updated Jun 16, 2026
One-click install
npx skills add https://github.com/burgebj/claudeoctopus --skill skill-cost-projections-burgebj
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-cost-projections
Source: https://github.com/burgebj/claudeoctopus/tree/main/.claude/skills/skill-cost-projections
Command: npx skills add https://github.com/burgebj/claudeoctopus --skill skill-cost-projections-burgebj

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves uncertainty around ongoing AI workflow spending by projecting remaining costs from completed phase data and warning when budgets may be exceeded.

Core Features & Use Cases

  • Cost Projection: Calculates average step costs and estimates remaining workflow spend using completed phase metrics.
  • Budget Monitoring: Compares projected totals against configured ceilings and highlights potential overruns.
  • Use Case: A team running a multi-phase AI development workflow can track current spending, predict final costs, and switch to lower-cost profiles before exceeding limits.

Quick Start

Ask the cost projections skill to estimate the remaining cost of the current workflow and show any budget warnings.

Frequently Asked Questions about skill-cost-projections

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

FAQPage Schema
How do I forecast remaining costs for an AI workflow?

To forecast remaining AI workflow costs, this skill calculates average step costs from completed phase data and estimates final spend to highlight potential budget overruns. It uses existing workflow metrics to project future spending automatically.

What is workflow cost projection and how does it prevent budget overruns?

Workflow cost projection estimates remaining spend by analyzing completed phase metrics in multi-step tasks. It monitors spending visibility and compares projected totals against configured budget ceilings to prevent unexpected overruns during execution.

How do I monitor spending visibility across multi-phase AI orchestration tasks?

You can monitor spending visibility by providing workflow metrics containing completed step costs and phase data. The skill analyzes this data to track current spending and predict final costs across multi-phase AI orchestration workflows.

Do I need budget configuration data to calculate workflow cost projections?

Budget configuration is optional for calculating workflow cost projections, but required for budget monitoring. You must provide completed step costs and phase data, while budget ceilings are only needed to trigger potential overrun warnings.

Can I use phase spending data to switch to lower-cost workflow profiles?

Yes, you can use phase spending data to switch to lower-cost profiles. By tracking current spending and predicting final costs, teams can adjust their AI development workflow configurations before exceeding budget limits.