llamaparse

Parse PDF, DOCX, PPTX files into structured Markdown or JSON formats.

Updated Jun 27, 2026
One-click install
npx skills add https://github.com/NicholasSutin/parser --skill llamaparse
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llamaparse
Source: https://github.com/NicholasSutin/parser/tree/main/.claude/skills/llamaparse
Command: npx skills add https://github.com/NicholasSutin/parser --skill llamaparse

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @llamaindex/llama-cloud, and includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of extracting structured data, markdown, and images from complex, unstructured documents like PDFs, DOCX, and PPTX files that standard text extractors fail to process accurately.

Core Features & Use Cases

  • Agentic Parsing: Utilizes advanced AI models to interpret complex layouts, tables, and charts.
  • Multi-Format Support: Handles PDF, DOCX, PPTX, and XLSX files with high fidelity.
  • Use Case: Use this to convert a dense, table-heavy financial report into clean Markdown or JSON for further analysis or RAG pipeline ingestion.

Quick Start

Invoke the llamaparse skill to parse the attached document named report.pdf using the agentic tier for maximum accuracy.

Frequently Asked Questions about llamaparse

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

FAQPage Schema
How do I extract structured data and tables from complex PDF documents?

To extract structured data from complex PDF documents, this skill uses agentic AI parsing to interpret layouts, tables, and charts, converting them into clean Markdown or JSON formats for further analysis or RAG pipeline ingestion.

Can I parse DOCX and PPTX files into Markdown using LlamaCloud?

Yes, you can parse DOCX and PPTX files into Markdown or JSON using this skill. It supports multi-format document parsing including PDF, DOCX, PPTX, and XLSX files with high fidelity layout analysis.

Do I need an API key to parse unstructured documents for a RAG pipeline?

Yes, you need a valid LLAMA_CLOUD_API_KEY environment variable and the @llamaindex/llama-cloud library installed to parse unstructured documents and prepare the extracted text for a RAG pipeline.

What's the best way to convert table-heavy financial reports into JSON?

The best way to convert table-heavy financial reports into JSON is by invoking the agentic parsing tier, which utilizes advanced AI models to accurately interpret complex tables and charts from your unstructured documents.

Why does standard text extraction fail on complex document layouts?

Standard text extraction fails on complex document layouts because it cannot accurately interpret tables, charts, and multi-column structures, whereas agentic AI parsing models are designed specifically to handle these complex unstructured formats.