computed-columns-calculator

Community

Automate complex financial calculations for deal data.

AuthorWkayaobama
Version1.0.0
Installs0

System Documentation

What problem does it solves? Manually calculating financial metrics like weighted forecasts and net amounts for deal data is repetitive and prone to spreadsheet errors. This Skill automates these calculations, ensuring consistency and accuracy across your pipeline, freeing you from manual number crunching.

Core Features & Use Cases

  • Standardized Financial Metrics: Automatically compute Weighted Forecast, Net Amount, and Net Weighted Amount based on defined business logic for deals and opportunities.
  • DataFrame Integration: Seamlessly apply calculations to pandas DataFrames, integrating effortlessly into existing data pipelines.
  • Use Case: Process a DataFrame of sales opportunities, automatically adding columns for weighted forecast and net weighted amount, providing immediate, accurate insights for sales reporting.

Quick Start

Use the computed-columns-calculator skill to calculate 'weighted_forecast', 'net_amount', and 'net_weighted_amount' for the attached DataFrame 'opportunity_data.csv' which contains 'amount', 'certainty', and 'cost' columns.

Dependency Matrix

Required Modules

pandas

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: computed-columns-calculator
Download link: https://github.com/Wkayaobama/icalps_pipeline/archive/main.zip#computed-columns-calculator

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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