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data-entry

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Turn messy financial data into clean inputs.

Finance & Accounting#validation#normalization#data-extraction#data-pipeline#financial-data#pdf-extraction#data-entry
Authortmcga
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Turn messy financial inputs into clean, structured data ready for downstream tools and models.

Core Features & Use Cases

  • Extract data from unstructured sources (earnings transcripts, filings, PDFs)
  • Normalize values (units, currencies, decimals) and validate consistency
  • Output tool-ready formats (JSON, CSV, CLI arguments) and templates for recurring analyses
  • Cross-source reconciliation and data templates for repeatable workflows

Quick Start

Provide a sample financial document and ask the skill to extract, normalize, and validate the data.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: data-entry
Download link: https://github.com/tmcga/alpha-stack/archive/main.zip#data-entry

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