mcpField
R
roi-calculator

roi-calculator

github.com/onewave-aiData & databases400239 installsUpdated 2w ago
Repository

About roi-calculator

roi-calculator is a skill for assessing the financial effects of AI implementation. It gathers operating inputs, calculates ROI measures and scenarios, then saves a checked analysis report as roi-analysis.md.

Key features

  1. 01Collects required cost, time, and labor inputs
  2. 02Calculates savings, payback, ROI, and NPV
  3. 03Compares conservative, base, and optimistic cases
  4. 04Generates and checks roi-analysis.md

Use cases

  1. 01Assessing the business case for AI implementation
  2. 02Comparing AI investment outcomes across scenarios

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/onewave-ai/claude-skills --skill roi-calculator

After installing, type/roi-calculatorin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
inputs.md
methodology.md
output-template.md
rules-and-protocol.md

Details

From the project README

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.

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