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Document Parser

Parse PDF, XLSX, DOCX, and CSV files into structured facts with provenance metadata.

Updated Mar 10, 2026
Search Tags:#structured data#data extraction#provenance#document parsing#financial statements#LP reports
One-click install
npx skills add https://github.com/ganoro/equiforte-workspaces-local-2 --skill document-parser-ganoro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Document Parser
Source: https://github.com/ganoro/equiforte-workspaces-local-2/tree/main/df1ef9f0-3138-4b76-8be9-a0e40bc4ccef/claude-plugin/skills/data-aggregation/document-parser
Command: npx skills add https://github.com/ganoro/equiforte-workspaces-local-2 --skill document-parser-ganoro

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the extraction of structured data from various document formats, including PDFs, XLSX, DOCX, and CSV files, eliminating manual data entry and analysis.

Core Features & Use Cases

  • Multi-format Parsing: Supports PDF, XLSX, DOCX, and CSV files.
  • Structured Data Output: Generates facts with provenance metadata for reliable data tracking.
  • Use Case: Automatically parse quarterly LP reports to extract key performance indicators like NAV, contributions, and distributions, compiling them into a structured format for portfolio analysis.

Quick Start

Use the document parser skill to extract all tables from the file '/workspace/fund_report.pdf'.

Frequently Asked Questions about Document Parser

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

FAQPage Schema
How do I extract structured data from financial statements and LP reports?▼

To extract structured data from financial statements and LP reports, use this Skill to parse PDF, XLSX, DOCX, and CSV files, generating facts with provenance metadata for reliable portfolio analysis.

What is the best way to parse PDF and XLSX files to get data with provenance metadata?▼

The best way to parse PDF and XLSX files for provenance metadata is using this Skill, which utilizes deterministic libraries like pdfplumber and openpyxl to extract structured facts while tracking their source.

Can I automate data extraction from quarterly LP reports for portfolio analysis?▼

You can automate data extraction from quarterly LP reports by parsing workspace files to capture key performance indicators like NAV, contributions, and distributions into a structured format.

Does this data extraction tool support parsing CSV and DOCX files?▼

Yes, this data extraction tool supports parsing CSV and DOCX files alongside PDF and XLSX formats, utilizing python-docx and pandas to ensure deterministic structured data extraction.

How do I extract all tables from a PDF file in my workspace?▼

To extract all tables from a PDF file, apply the parser to the target file path within your workspace, such as '/workspace/fund_report.pdf', to automatically output structured table data.

What are the limitations of using pdfplumber and openpyxl for document parsing?▼

Using pdfplumber and openpyxl for document parsing provides deterministic extraction for structured formats, but may face limitations with highly unstructured or image-based PDF documents requiring OCR.

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