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rangching/taiwan-scientific-agent-skills

v1.1.0MIT

臺灣學術界適用的繁體中文科學 Agent Skills 庫(中英雙語對照),衍生自 K-Dense Scientific Agent Skills。Ready-to-use scientific Agent Skills for Taiwan academia (zh-Hant-TW / English).

liteparse

Local document and PDF parsing that returns spatial text with bounding boxes. Use for extracting text from PDFs, DOCX, Office files, and images; running OCR on scans; producing layout-preserved JSON for RAG; batch-ingesting folders of papers; or rendering pages to PNG for multimodal agents. Distinguishing capabilities are per-token bounding boxes, page raster output, and fully local processing with no cloud API.

Version
1.2
License
Apache-2.0
Compatibility
Python 3.10+. Optional LibreOffice (Office formats) and ImageMagick (images). Bundled Tesseract for OCR. All processing is local — no cloud API required.
Read SKILL.md at the source

Pinned to revision 70a605012eee, so it is the text this page describes rather than whatever the author pushed since.

Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

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