Individual skill

xberg

Extract text, tables, metadata, and images from 107 document formats (PDF, Office, images, HTML, email, archives, academic) using Xberg. Use when writing code that calls Xberg APIs in Python, Node.js/TypeScript, Rust, or CLI. Covers installation, extraction (sync/async), configuration (OCR, chunking, output format), batch processing, error handling, and plugins.

plugin/.opencode/skills/xberg/SKILL.md

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Matches the observed repository HEAD: Yes
Scanner rules are current: No
Repository scan complete: No
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Observed behavior: Not checked yet
Last checked: Nov 7, 2026

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Repository context

Repository stars (not skill ratings): 9,565
Repository last updated: Nov 8, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

text-extraction Repository topic
document-intelligence Repository topic
metadata-extraction Repository topic
pdf-extraction Repository topic
python Repository topic
rag Repository topic
table-extraction Repository topic
tesseract Repository topic
ffi Repository topic
golang Repository topic
writing Derived category
research Derived category

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

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SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
SKILL.mdcore · 18,710 bytes
index.mddoc · 642 bytes
references/advanced-features.mddoc · 18,454 bytes
references/cli-reference.mddoc · 12,774 bytes
references/configuration.mddoc · 33,832 bytes
references/nodejs-api.mddoc · 13,442 bytes
references/other-bindings.mddoc · 8,744 bytes
references/python-api.mddoc · 31,582 bytes
references/rust-api.mddoc · 12,677 bytes
references/supported-formats.mddoc · 20,572 bytes

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# Xberg Document Extraction

Xberg is a document intelligence library with a Rust core and bindings for Python, TypeScript/Node.js, Ruby, PHP, Go, Java, C#, Elixir, WebAssembly, Dart, Kotlin Android, Swift, Zig, and C. It extracts text, tables, metadata, and images from 107 formats across 140 unique file extensions and accepts 53 compatibility MIME aliases, including PDF, Office documents, images, HTML, email, archives, and academic formats.

Use this skill when writing code that:

- Extracts text or metadata from documents