Data Extractor
Skill Warning>
This skill leverages the unstructured Python library to process a wide range of document types, including PDFs, Word docs, emails, and HTML. It automatically detects and partitions elements, extracts text and metadata, and supports advanced features like table structure inference, OCR, and semantic chunking for RAG applications.
Scope
- critical:Description qualityThe description is materially misleading as it contains only a single character ('>') and provides no actual information about the extension's functionality, which is contrary to the provided content in SKILL.md.
Documentation
- info:Configuration & parameter referenceWhile the SKILL.md provides extensive code examples, it does not explicitly document all configuration options or parameters for the `partition` function or its variations, nor does it detail precedence order for any potential configurations.
Code Execution
- info:ValidationThe SKILL.md demonstrates the use of `unstructured` library functions, which likely perform internal validation on file paths and parameters, but explicit schema validation within the skill's logic is not showcased.
Compliance
- info:GDPRThe skill extracts data from documents. While it doesn't explicitly handle personal data, the extracted content could potentially contain PII, which would be submitted to the LLM without additional sanitization by this skill itself.
Installation
npx skills add claude-office-skills/skillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
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