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  5. Extract structured data from unstructured files (PDF, PPTX, DOCX...)
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Extract structured data from unstructured files (PDF, PPTX, DOCX...)

5.5

by majiayu000

189Favorites
68Upvotes
0Downvotes

Invoke this skill BEFORE implementing any structured data extraction from documents to learn the correct llama_cloud_services API usage. Required reading before writing extraction code. Requires llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.

data extraction

5.5

Rating

0

Installs

Data & Analytics

Category

Quick Review

This skill provides a clear, practical guide for extracting structured data from unstructured documents using the llama_cloud_services API. The description clearly indicates when to invoke it (BEFORE implementing extraction code), and the quick start section covers the essential workflow: defining Pydantic schemas, initializing the extractor, configuring extraction settings, and extracting data. The code examples are well-commented and demonstrate key configuration options. Structure is good with a logical flow, though the reference to REFERENCE.md suggests additional details exist elsewhere. The skill has moderate novelty—while document extraction is common, providing correct API usage patterns and configuration guidance reduces implementation effort and potential errors. Minor points: the skill could benefit from more concrete examples of different extraction modes/targets, error handling patterns, and batch processing scenarios to achieve higher scores.

LLM Signals

Description coverage8
Task knowledge8
Structure7
Novelty6

GitHub Signals

49
7
1
1
Last commit 0 days ago

Publisher

majiayu000

majiayu000

Skill Author

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Publisher

majiayu000 avatar
majiayu000

Skill Author

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