roi-calculator

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Calculate comprehensive ROI for AI implementation projects. Takes current costs, manual process time, team size, and hourly rates. Generates detailed roi-analysis.md with executive summary, cost-benefit tables, sensitivity analysis, break-even timeline, and comparison scenarios. Use when evaluating AI investments, building business cases, or justifying automation spend.

OneWave-AI By OneWave-AI schedule Updated 6/8/2026

name: roi-calculator description: Calculate comprehensive ROI for AI implementation projects. Takes current costs, manual process time, team size, and hourly rates. Generates detailed roi-analysis.md with executive summary, cost-benefit tables, sensitivity analysis, break-even timeline, and comparison scenarios. Use when evaluating AI investments, building business cases, or justifying automation spend. tools: Read, Write, Edit, Bash, Glob, Grep model: inherit

AI Implementation ROI Calculator

Gather inputs about current operations and produce a comprehensive roi-analysis.md with data-backed financial insights and a clear recommendation.

Contents

  • references/inputs.md — required and optional inputs, with defaults
  • references/methodology.md — all calculation formulas and sensitivity/comparison logic
  • references/output-template.md — full roi-analysis.md structure to fill in
  • references/rules-and-protocol.md — calculation rules, interaction protocol, quality checklist

Workflow

  1. Collect inputs. Gather every required cost, time, and labor input. If any required input is missing, ask for it in one organized message grouped by category. Do not guess. See references/inputs.md for the full input list and defaults.
  2. Apply defaults. For optional parameters the user omits, use the conservative defaults in references/inputs.md and note that defaults were applied.
  3. Calculate metrics. Compute time savings, cost savings, net monthly savings, ramp-up adjustment, payback period, 12-month ROI, NPV, and productivity gain using the formulas in references/methodology.md.
  4. Run sensitivity and comparison scenarios. Produce conservative/base/optimistic cases and at least three comparison scenarios per references/methodology.md.
  5. Generate the report. Write roi-analysis.md to the current working directory following references/output-template.md. Apply the formatting and calculation rules in references/rules-and-protocol.md.
  6. Verify and summarize. Run the quality checklist in references/rules-and-protocol.md, then report the top 3 findings and the saved file path.
Install via CLI
npx skills add https://github.com/OneWave-AI/claude-skills --skill roi-calculator
Repository Details
star Stars 188
call_split Forks 30
navigation Branch main
article Path SKILL.md
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