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lingxling/scientific-agent-skills

v2.72.0MIT

Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

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 spatial text boxes, Markdown, page raster output, and local parsing with optional custom HTTP OCR.

Version
1.6
License
Apache-2.0
Compatibility
Python 3.10+ with liteparse 2.15.0. LibreOffice required for Office formats; images convert natively. Tesseract is bundled but missing language data downloads on first use. Optional HTTP OCR requires network access and server-specific authentication.
Read SKILL.md at the source

Pinned to revision 68105dd992f1, 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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