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datapack-builder

Extract and normalize financial data into standardized Excel workbooks.

Updated May 3, 2026
Search Tags:#automation#investment#data#reporting#Excel#financial#due diligence
One-click install
npx skills add https://github.com/sammyTI/dotcompany-template --skill datapack-builder-sammyti
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: datapack-builder
Source: https://github.com/sammyTI/dotcompany-template/tree/main/plugins/vertical-plugins/investment-banking/skills/datapack-builder
Command: npx skills add https://github.com/sammyTI/dotcompany-template --skill datapack-builder-sammyti

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation of professional, standardized financial data packs, reducing manual effort and ensuring accuracy in critical financial reports.

Core Features & Use Cases

  • Financial Data Integration: Extracts and consolidates data from CIMs, SEC filings, offering memorandums, or web sources into unified Excel workbooks.
  • Standardization & Formatting: Normalizes financial data with consistent structure, currency, and presentation standards, facilitating reliable analysis.
  • Use Case: Investment bankers preparing due diligence reports can generate accurate and professional data packs automatically, saving time and minimizing errors.

Quick Start

Use the datapack-builder skill to transform raw financial documents into a clean and standardized Excel data pack ready for investor review.

Frequently Asked Questions about datapack-builder

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

FAQPage Schema
How do I automate financial data extraction for M&A due diligence?▼

Automating financial data extraction consolidates raw documents like CIMs, SEC filings, and offering memorandums into unified Excel workbooks for M&A due diligence. This process normalizes disparate data sources, ensuring consistent structure and accurate presentation for investment analysis.

What is the best way to standardize financial data for private equity reporting?▼

Standardizing financial data for private equity reporting normalizes figures with consistent currency, structure, and presentation standards. This ensures reliable portfolio analysis and professional documentation of assumptions across disparate financial documents.

Can I use Excel to create investment-ready data packs from raw SEC filings?▼

Yes, you can create investment-ready Excel data packs directly from raw SEC filings. The process automates the extraction, normalization, and formatting of financial data, ensuring professional presentation and accurate documentation for investor review.

Does this approach support formatting data from offering memorandums for portfolio reporting?▼

Yes, formatting data from offering memorandums supports portfolio reporting by consolidating raw financial information into standardized Excel files. It ensures data accuracy, normalizes currency, and maintains professional presentation for investment analysis.

How do I document assumptions during financial data normalization?▼

Documenting assumptions during financial data normalization involves tracking data transformations and standardization rules automatically within the generated Excel workbooks. This ensures transparency and supports reliable due diligence and investment analysis.

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