computed-columns-calculator
CommunityAutomate complex financial calculations for deal data.
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
Components
💻 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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